Categories   >   Data Warehouse Reporting Tools
Last Reviewed: November 22nd, 2024

Best Data Warehouse Reporting Tools Of 2024

What are Data Warehouse Reporting Tools?

Data Warehouse Reporting Tools are business intelligence superheroes. Imagine a messy office cluttered with sales figures from spreadsheets, marketing data in PDFs, and customer info scattered across databases. These tools swoop in, organize everything into a central data warehouse, and then, with a few clicks, generate reports that tell a clear story. This solves the nightmare of siloed data, giving businesses a unified view of their performance. Sales and marketing teams can see which campaigns drive the most sales, while finance can analyze profitability across product lines. These reports are game-changers, enabling data-driven decisions that boost efficiency and revenue. While some technical knowledge might be needed, these tools are increasingly user-friendly, and with features like drag-and-drop dashboards and visual storytelling, insights are accessible to a wider audience. They're especially powerful for retail, finance, and healthcare, where data analysis is crucial for staying ahead of the curve. Of course, there can be limitations – upfront costs and the need for ongoing data maintenance. But the ability to transform a data swamp into a crystal-clear source of truth makes Data Warehouse Reporting Tools a compelling investment for any business looking to make smarter decisions.

What Are The Key Benefits of Data Warehouse Reporting Tools?

  • Unified Data View
  • Improved Data Quality
  • Self-Service Analytics
  • Faster Reporting Speed
  • Data-Driven Decisions
  • Enhanced Collaboration
  • Actionable Insights
  • Reduced Costs (Long-Term)
  • Predictive Capabilities
Read more

Overall

Based on the latest available data collected by SelectHub for 29 solutions, we determined the following solutions are the best Data Warehouse Reporting Tools overall:

JReport
JReport
Start Price
$10,000
One-Time
Company Size
Small Medium Large
Deployment
Cloud On-Premise
Platform
Mac Windows Linux Chromebook Android
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Why We Picked JReport

JReport is an embedded reporting and business intelligence solution that drives self-service analytics, helps users to customize interactive data dashboards and adds value to business applications via report creation and sharing. Mentioning its data connectivity capabilities, both as an embedded and a standalone solution, many users said that it integrated well with a range of data sources and embedded seamlessly into any application on any platform. Many users who discussed its functionality said that the solution was feature-rich, with intuitive capabilities such as drag-and-drop, and that it was highly scalable in implementing domain-specific features with server clustering. All users who discussed support said that they were proactive and responsive in ensuring that feature requests were added to upcoming releases.
Though the platform did not seem to have any tangible limitations at the time of publishing this synopsis, some users said that there is definite room for improvement in regards to clarity of the product roadmap. Reviewing reporting, quite a few users said that the multitude of options was overwhelming and reporting features were not ubiquitous between the two modules - on the web and in the JReport desktop application.
Overall, JReport embeds smoothly into business applications to enable self-service and interactive data analysis via impressive features like visualizations and report scheduling that power decision-making processes.

Pros & Cons

  • Data Integration: All users who mentioned the platform’s data accessibility capabilities said that it connected seamlessly to a wide range of data sources and embedded equally easily into business applications.
  • Functionality: Around 74% of users who reflected on its functionality said that, coupled with rich features, the platform was highly scalable in implementing industry-specific reporting and advanced data analysis.
  • Ease of Use: In terms of ease of use, approximately 74% of users said that the platform was generally intuitive to navigate, with a modern-looking GUI.
  • Reporting: Around 67% of users who mentioned reporting said that the platform offered custom reporting to the desired level of granularity and report scheduling for sharing insights with departments and teams.
  • Service and Support: All users who mentioned support said that they were responsive and proactive, especially in responding to requests for new features.
  • At the time of publishing this synopsis, there were no tangible limitations of this platform as per available user sentiment online.

Key Features

  • Web Reports: Generate visualizations and create dynamic and interactive web-based reports.
  • Data Visualization: Blend data to generate up to 40 types of visualizations, including charts, scattergrams, crosstabs, tables, maps and more. Pull data from a range of different data sources and blend it into a single dashboard.
  • In-Depth Analytics: Gain more in-depth information by applying filters to sort data or drilling down into specific details. Compare visualizations side by side for big-picture analysis.
  • Page Reports: Deliver detailed data on an organization-wide scale by arranging it into pixel-perfect visualizations on paginated reports that are simple to make, share and understand.
  • Ad-Hoc Reports: Improve data literacy by simplifying platform usage. Easily interact with dynamic data via on-screen sliders, drill-downs and filters. Generate custom, on-demand reports with the drag-and-drop interface.
  • Intuitive UI: Quickly drag and drop to create dynamic visualizations by choosing from an extensive library. Dig deeper into data via simple drill-down, filter and sort capabilities.
  • Scalability: Embeds into other software solutions and grows seamlessly with the business.
Tableau
Tableau
Start Price
$15
Per User, Monthly
Company Size
Small Medium Large
Deployment
Cloud On-Premise
Platform
Mac Windows Linux Chromebook Android
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Why We Picked Tableau

Tableau Desktop is a BI solution for data visualization, dashboarding and location analysis. In online reviews, users said they found its drag-and-drop charting a boon for creating charts and maps. Regarding customization, many users praised the platform for its various labeling and design options.

I recently tried the Tableau Desktop 2024.1.3 version. The trial is only for 14 days and is enough for a sneak peek into Tableau’s dashboarding and data storytelling capabilities. For more straightforward use cases, Tableau is incredibly user-friendly and fast. Creating a new sheet gives you a canvas to create a visualization. Once you have the required sheets, combining them into a dashboard view is straightforward — select and add.

My dataset included healthcare data, including details of patients, their hospital visits and insurance payer details. One use case was to find the total claim settlement amount. I dragged the Total Claims Cost and Payer fields to the column and row shelves, and Tableau gave me a bar graph. The toolbar had single-click options for sorting data from increasing to decreasing values or the other way around.

To view the number of encounters by payer, I dragged the Payer field to the row shelf and used the SUM(ROW_COUNT()) function on the column shelf. The chart popped up with more visualization and layout options.

I wanted an interactive filter to view the average claim cost by birthdate. I dragged the Birthdate field to the Filters shelf and right-clicked on it to set the end date as October 22, 1961. Selecting Show Filter added a slider conveniently to the right of my visualization. I could see the data for people born before October 22, 1961, and if required, I could change the end date.

Another use case would be viewing the data by the type of hospital visits — how many people were inpatients, outpatients or those who needed emergency care. I dragged and dropped the Total Claims Cost and Payer fields into columns and rows, respectively. Similarly, I dropped Encounterclass into the Filters shelf and clicked on Show Filter to enable a checkbox on the screen. It had all the categories of visits, giving users the option to select the desired views.

One-fourth of the users discussing adoption said there was a steep learning curve. Tableau relies on Python and R scripts for statistics in its visualizations. It's where the named licenses can prove to be a blessing, as you can opt to train upcoming Creators and Explorers. We recommend factoring in training if you want to hit the ground running.

Some reviewers felt discounted packages for business editions should be available, similar to the free student licenses. At $70 per user, the Creator license can seem costly when compared to Power BI ($9.99 per user) and Qlik Sense ($30 per user).

Here's the good news, though. Its built-in user management acts as a permissions layer for your organization - users can only access the relevant content. Plus, an organization will have very few Creators and a greater number of Viewers and Explorers, and the license fee reduces from Creator to Explorer to Viewer.

We recommend opting for a wise license combination to get the most out of the product.

On the upside, the vendor constantly releases new features, the latest one being Einstein CoPilot in beta.

Overall, Tableau is a competitive BI solution, but if the pricing seems inflexible, quite a few other solutions offer live insights and advanced analytics out of the box.

Pros & Cons

  • Data Visualization: Almost 98% of users who reviewed its visual capabilities praised the platform for its dashboards and the freedom to play around with data and modify charts as desired.
  • User-Friendly: According to 93% of users who mentioned ease of use, it makes data accessible with its easy user actions and handy tooltips.
  • Data Connectivity: About 92% of users who discussed data sourcing praised its ability to pull data from disparate systems.
  • Pricing: Around 90% of the users citing cost found it expensive.
  • Speed: About 71% of the users who discussed performance found it slow when processing large data volumes.
  • Onboarding Woes: Approximately 67% of the users who reviewed the platform's adoption said there was a steep learning curve.

Key Features

  • Connectors: Combine data from various sources by choosing from a wide range of connectors — no need to spend on expensive third-party data integration tools. Tableau Bridge connects private networks to live data sources via Tableau Cloud.
  • AI: Tableau now offers AI capabilities thanks to Einstein Analytics.
    • Tableau Pulse: Explore data independently and ask questions with AI analytics. Tableau Pulse is available with Tableau Cloud and Embedded Analytics.
    • Explain Data: Understand the displayed insights with natural language explanations of data points.
    • Einstein CoPilot (Beta): Close the gap in understanding data with AI insights. Discover hidden trends by asking follow-up questions without losing context, thanks to generative AI. Einstein CoPilot is available with a Tableau Cloud subscription.
  • Tableau Prep: Clean and transform data of all types, including survey results, feedback data and social media posts. Shape and combine it with Tableau Prep, which is available with the paid edition only.
  • Data Stories: Convey your message with compelling narratives to get stakeholder buy-in. Drag and drop sheets onto the storyboard to show the growth, decline or stability of critical metrics.
  • Animations: Explain how data changes over time with animated charts and customize them to include graphics, labels and colors.
  • Filtering: Focus on the data that matters; it’s as easy as dragging and dropping desired fields to the Filter shelf. Specify a value range, set a condition or choose the top values to display.
  • User-Based Licenses: Explore cost-effective license combinations that work for your team.
    • Creators can build dashboards, permissions, and governance rules, and establish connections to new sources. They’re content authors who transform and analyze data. This license is available at $70 per user monthly, billed annually. However, they can’t control the Tableau Server or Desktop environment.
    • Explorer licenses are suitable for line-of-business users whose role requires independent data exploration. They can author content but within a governed ecosystem. Each Explorer license costs $42 monthly, billed annually. They can’t connect to new sources, modify data, or use the Tableau desktop or custom SQL.
    • Viewers can interact with data, apply filters and follow pre-decided workflows. This license is available for $15 per user monthly, billed annually. Viewers have limited rights and can’t create and edit visualizations and the underlying data.
Power BI
Power BI
Start Price
$10
Per User, Monthly
Company Size
Small Medium Large
Deployment
Cloud On-Premise
Platform
Mac Windows Linux Chromebook Android
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Why We Picked Power BI

Our researchers ranked products on a whole bunch of features. They include data management, querying and visualization, advanced and embedded analytics, mobile BI, and IoT and location analytics.

In our rankings, Power BI scores 87 for connectivity, leaving behind Tableau, Oracle Analytics and Dundas BI. Robust Microsoft technology is one reason, for sure. Besides, intelligent techniques like DirectQuery and easy data modeling make it popular among users.

In product reviews, some users mentioned a lag when sharing reports from the desktop to the cloud. For me, the platform was a tad slow to start, but otherwise, it stayed performant for my average-sized dataset.

When dealing with sales data, total sales, the top-performing products, seasonality and period trends are common queries. Creating a sales KPI report in Power BI was an excellent way for me to answer them. My CSV files included sales, calendar, products and store data.

Connecting to sources is straightforward with Get Data on the home screen and toolbar. Once I had pulled in the data, I clicked on Transform Data and opened the Power Query editor. It automatically detects the data type for strings and numbers but can get confused with dates and currency, which it marks as text. It involved some manual wrangling, but I had it sorted in no time. Read my article on KPI Reports to learn how I did it.

But I wouldn’t call it a deal-breaker as it’s not a tedious task. I had the same experience with Qlik Sense, but Tableau was way better as it recognizes seven data types — string, number, date, date and time, boolean, geographic and cluster values.

Tracking sales over periods required a greater level of detail, so I added new columns to the calendar data — start of month and start of week. Column statistics were immensely helpful in identifying unique, distinct and null values and correcting incomplete records. Clicking on the number of products selling at a particular price allowed me to see which toys sold at that price.

Creating a relational data model by defining primary keys is a manual process and seems dated once you’ve used Qlik Sense. Adding calculated measures is where DAX shows its magic. For data workers well-versed with SQL, DAX is a ready-to-go tool they’ll be glad to have in their corner.

Creating visualizations wasn’t as intuitive as Tableau as it involved drag-and-drop onto the canvas, and frankly, I felt like I was flying blind. I didn’t feel that way with Tableau, and it’s slicker.

Power BI offers a paintbrush tool that lets you define the layout, the card arrangement and the maximum number of cards. You can define the canvas settings, background and headers and determine the filter pane settings. It took me longer to create a dashboard from scratch than it took in Tableau.

Some users found the pricing structure too complex. While using Azure data in Power BI for basic queries is free, costs can add up when you go for text and sentiment analysis. With Microsoft Fabric, the pricing complexity is set to rise. Though Power BI is available separately too, you’ll need to rely on Fabric to manage users, licenses and other administrative tasks.

About 31% of the users mentioning cost complained about onboarding difficulties, possibly because DAX introduces the complexity of learning syntax. It can daunt non-technical users initially, but guided formulas can make the task easier. That said, I agree with the majority of user reviews that training will speed up onboarding and help your team maximize the investment.

Overall, Power BI has many powerful features and will give you value for your money. If you’re not a Microsoft user yet, it’s worth checking out for the baked-in vendor technologies like Azure and SSAS. If you are an MS user, Power BI might be a no-brainer, though be prepared to shell out a little extra for advanced functionality and additional modules.

Pros & Cons

  • Integrations: Around 95% of users who mentioned data sources said they were satisfied with its flexibility in connecting to sources.
  • Data Visualization: About 93% of the users who discussed visual analysis said they relied on it for daily reporting.
  • Functionality: Over 75% of the users reviewing features said they were impressed with its live queries, DAX calculations and data modeling.
  • Ease of Use: Approximately 72% of the users who mentioned its UI said it was straightforward to use.
  • Speed: About 95% of recent reviews citing performance said the platform lagged when dealing with large data volumes.
  • Adoption: Around 81.5% of the reviewers mentioning adoption said the learning curve was steep.
  • Cost: Approximately 71% of users discussing pricing complained about the platform being expensive.

Key Features

  • Dataflows: Save time with reusable workflows that lock the logic in. While shared datasets are open to interpretation, dataflows will take your users in one direction only, ensuring consistent results. It’s like a written recipe, just follow the steps to get the taste right.
  • Analyze in Excel: Focus on the end game. Give your teams the freedom to analyze their data in Excel and move the results back to Power BI.
  • DAX: Empower your people to go beyond raw data. Derive calculated columns and measures with Data Analysis Expressions. Watch them update as you apply filters and slicers and interact with data in other ways.
  • Data Alerts: Act in time to keep things running smoothly. Stay informed of changes with alerts. Subscribe to receive notifications via email or the Power BI notification center (available only with Power BI Service). Among visualizations, KPI cards, cards and gauges have the alert option. 
  • Data Refreshes: Stay ahead of trends with the latest insight. Update data on demand in Power BI or schedule refreshes with Power Automate. Power BI Pro and Premium allow up to eight and 48 refreshes daily, respectively.
  • Key Influencers Visual: Decide the next steps by spotting the factors affecting a critical metric. As a transporter, does only the terrain impact how consistently your trucks deliver, or is the average age of the fleet vehicles also a factor?
  • Decomposition Tree: Identify which product category or region contributed most to sales increase or decrease. For instance, you can analyze sales trends by channel with the decomposition tree.

Pricing

License/Subscription Cost
  • Based on the number of users for Power BI Pro and capacity-based pricing for Power BI Premium
Maintenance Cost
  • Included in the subscription cost
Installation/Implementation Cost
  • Included in the subscription cost. Additional charges may apply for data migration during implementation of Power BI, maintaining on-premise data sources and building dashboards and reports
Customization Cost
  • Dependent on functional requirements and specific needs of the organization
Data Migration Cost/Change Management/Upfront Switching Cost
  • Dependent on your current software, amount of data to be migrated, availability of migration tools, complexity of data and gaps between the existing system and the new system.
Recurring/Renewal Costs
  • Renewal cost is included in the fees paid monthly or annually
BusinessObjects
BusinessObjects
Start Price
$5,000
Annual
Company Size
Small Medium Large
Deployment
Cloud On-Premise
Platform
Mac Windows Linux Chromebook Android
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Why We Picked BusinessObjects

User reviews for BusinessObjects paint a picture of a powerful BI tool with both strengths and weaknesses. On the positive side, users praise its comprehensive features, enabling them to tackle complex data challenges. "It's like a Swiss Army knife for data analysis," one user says, "from basic reports to advanced modeling, it's got it all." This feature depth is often contrasted with simpler competitors, with users appreciating the ability to handle diverse needs without needing multiple tools. However, the learning curve can be steep, especially for non-technical users. "It's not exactly drag-and-drop for beginners," another user admits. This complexity can lead to frustration and require investment in training, which some users find less intuitive compared to competitors. Despite the learning hurdle, many users highlight BusinessObjects' scalability and integration capabilities as its main differentiators. "It seamlessly connects with our existing systems," one user notes, "saving us time and effort." This smooth integration is often lacking in competitors, making BusinessObjects a preferred choice for organizations with complex data ecosystems. Overall, user reviews suggest BusinessObjects is a powerful and versatile BI tool best suited for organizations with complex data needs and the resources to support its learning curve. Its comprehensive features and integration capabilities set it apart, making it a strong contender for those seeking a robust BI solution despite the initial investment required.

Pros & Cons

  • Ease of Use: It is a straightforward and easy to use platform, as noted by over 65% of reviewers who mention ease of use.
  • Flexible Reporting: Around 84% of the reviewers who specify reporting state that it offers a flexible reporting feature to fit individual needs.
  • Integration: It enables integration with SAP products and third-party software, as observed by 89% of the users referring to integration.
  • Customization: It provides highly customizable tools and options, as noted by 88% of reviewers who specify customization.
  • Learning Curve: It involves a steep learning curve for beginners, as stated by 80% of the users mentioning the learning curve.
  • Implementation: Over 80% of reviewers who discussed implementation report that the process is cumbersome.
  • Pop-ups: Error messages and pop-ups are technical and hard to decipher, as observed by 100% of reviewers who refer to pop-ups.
  • Performance: Around 86% of the users who specify performance report that it becomes slow and crashes at times when multiple prompts are opening.

Key Features

  • Native Mobile Apps: Take visualization features like charts, reports and more on the go with native iOS and Android apps. 
  • Pre-Built Data Connectors: Draw data from over 25 pre-set sources such as SAP HANA, Apache, Hadoop, Hive, Cloudera, Impala, Amazon, IBM and many more. 
  • Integrations: Provides powerful integration capabilities with other applications such as CRM, ERP, web applications and more. Includes SAP tools and others like the Microsoft Suite. 
  • Data Discovery: Collects, cleans and analyzes data from a variety of sources to help users identify trends and patterns. 
  • Data Transformation: Converts data between formats and structures — organizes and structures unstructured data into usable information. 
  • Visualizations: Generates graphical data visualizations such as bar charts, pie graphs, scattergrams, line plots, maps and more. 
  • Secure Collaboration: Users can securely share visualizations with team members, clients and others through email, web embedding and other platforms. 

Pricing

License/Subscription Cost
  • On-Premise: Pricing depends on business size and the CPU/roles/tools required. There is also option of Named User Licenses (a non-shareable license for a single person that provides guaranteed access to the software) and Concurrent User Licenses (a single log-on that can be used by anyone. This is limited by availability of free sessions in the session pool). The Named User license provides access to all desktop software. The Concurrent User Licenses are not supported for most desktop software, except for SAP BusinessObjects Analysis edition for Office.
  • Cloud-based/SaaS: Depends on the number of users
Maintenance Cost
  • On-Premise: Support licenses are charges over and above the license cost
  • Cloud-based/SaaS: Included in license/subscription cost
Installation/Implementation Cost
  • On-Premise: Included in the license cost
  • Cloud-based/SaaS: No installation cost
Customization Cost
  • Will vary depending on the functional requirements such as configurable dashboards, type of data elements required for tracking, complexity of workflows, etc
Data Migration Cost/Change Management/Upfront Switching Cost
  • Dependent on your current software, amount of data to be migrated, availability of migration tools, complexity of data and gaps between the existing system and the new system
Recurring/Renewal Costs
  • On-Premise: Will depend on the type of license purchased – named user or concurrent user, Enterprise or Small Business
  • Cloud-based/SaaS: Renewal cost is equivalent to the fees paid monthly or annually, based on number of users
Domo
Domo
Start Price
$15
Per User, Monthly
Company Size
Small Medium Large
Deployment
Cloud On-Premise
Platform
Mac Windows Linux Chromebook Android
Request Pricing Request Demo

Why We Picked Domo

Domo has everything data teams could wish for — self-service ETL, advanced analytics and data science. Its rich set of connectors makes users happy as they praise its robust integration APIs. Its scripting language is similar to Power BI, and knowing SQL will shorten your team's learning curve. The vendor offers daily refreshes, currently capping them at 48.

On the flip side, the interface seemed a bit clunky to me. Dashboards don’t display in the edit mode by default, which was a tad annoying. The Getting Started documentation is dated and doesn’t match the new interface. I could find my way around with help from user forums.

While the vendor earns praise for releasing frequent updates, quite a few users say some much-needed features lack depth. According to our research, Domo offers only 64% of the required functionality out of the box, which is much less than what Power BI and Tableau provide. It also underperforms in data querying, scoring only 53 in our analysis.

Some reviews mention bugs and that performance can lag when handling anything complex than simple visualizations. The slowness could be due to the multitenant SaaS model that provides shared computing. As for the mobile app, it didn’t work in the offline mode for me. I should mention here that I had opted for the trial version. A proof-of-concept will help you check if the issue persists in the paid edition.

Domo’s pay-as-you-go model is great for estimating usage but be prepared to pay more for workload spikes. According to our research, about 89% of users who reviewed the price found Domo’s consumption model expensive. Small organizations working with a lean team might find it challenging to handle billing.

Here’s what’s great about subscribing to Domo. You can create as many reports and dashboards as required — there’s no limit or additional cost. Plus, Domo allows adding an unlimited number of users. Domo accepts external data models from OpenAI, Amazon Bedrock, Hugging Face, Databricks and Jupyter Workspaces.

Despite a competitive market, Domo is an excellent product for organizations seeking data visualization and strong integration. Its flexible pricing model and recent AI updates make it a strong challenger to leading data platforms.

Pros & Cons

  • Source Connectivity: About 86% of users citing data integration said they could connect to their preferred sources easily.
  • Ease of Use: Around 82% of users discussing the interface said options and tabs were straightforward and intuitive.
  • Data Visualization: About 74% of people who reviewed Domo for graphics appreciated the ease of creating and sharing data stories.
  • Functionality: Around 73% of users who mentioned features said Domo performed as expected.
  • Support Services: About 71% of reviews discussing assistance praised the support team for being helpful and responsive.
  • Speed: About 78% of users discussing speed said the platform lagged sometimes.
  • Cost: Around 89% of users discussing price termed the platform as expensive.

Key Features

  • Domo App Studio: Design custom apps for needs Domo might not address out of the box. Build your own functionality without coding knowledge. Create branded visualizations with your trademark colors, logos and fonts. ESPN enhances the fan experience by capturing and analyzing customer data using a Domo Studio app.
  • Analyzer: Save time spent cleaning data manually. Use a special editor to set up checks for data inputs. Keep tabs on which charts and dataflows use a specific dataset with the lineage option. You can choose the best chart to present your data and annotate it. Use the Beast Mode for complex math.
  • DomoGPT: Get answers to data queries using AI Chat (currently in beta). Convert text to SQL or calculations and understand your data using text summaries. Use Domo.AI in a safe, governed space.
  • Personalized Data Permissions: Create custom data views for your users and hide sensitive data. Your regional managers get exclusive views specific to their roles, while senior management can switch between full and filtered views.
  • Domo Mobile: View cards and text summaries on the mobile app. Cards fit within the small screen, giving a great user experience. Domo Buzz allows sharing files to WhatsApp, Gmail, QuickShare and Google Drive. You can even save a screenshot to your phone gallery.
  • Alerts: Stay informed about KPIs that matter to you. Set new alerts and share them with selected users or subscribe to existing ones. Choose where you want to receive the notifications — email, mobile app or SMS.
Cognos Analytics
Cognos Analytics
Start Price
$50
Per User, Monthly
Company Size
Small Medium Large
Deployment
Cloud On-Premise
Platform
Mac Windows Linux Chromebook Android
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Why We Picked Cognos Analytics

IBM Cognos Analytics is an excellent BI tool and rates very highly with users on all major counts. Users are unanimous in their praise of its data management and data analysis capabilities to provide a single source of truth. Having ventured into AI-powered tools with the 11.1.3 version in 2018, IBM is making bold strides to incorporate augmented intelligence into the platform. IBM has astutely combined this solution with the capabilities of one of its other offerings, Watson Analytics, for natural language processing - a game-changer for empowering non-technical users to create a vast range of dashboards. With AI-enabled exploration, users can review key drivers of metrics and identify gaps in data, though some users feel that more tools are needed for content store exploration through its relational database. It also rates excellently with users for its data integration and ad-hoc reporting capabilities, efficient metadata management and extensive data modeling features.

Several strong features of this platform, as noted by reviewers, include Jupyter notebooks, regular updates to the platform and enhancements to data modules, though when it comes to integrating with Online Analytical Processing (OLAP) data sources and IBM Planning Analytics in particular, it comes up short. Version 11 of the platform comes with over-the-top installs for upgrades, which reduces time to set up; though some users feel that integrations built with the current SDK solution can be tedious to implement and maintain. Being part of the IBM software suite, it connects seamlessly to other IBM products under the same umbrella. However, integration with MS-Sharepoint is not supported; this can be managed with workarounds, but only for on-premise setups, not cloud-based deployments. The platform has a rich reporting repertoire with report burst capabilities, pivots and Cognos Event Studio for event-driven reports. However, many users feel that Report Studio should provide the write back capability, which is crucial for business. As for the cost, a majority of users feel that its licensing models are restrictive, especially when compared to other BI solutions; though the vendor seems to address pricing and ease of use with version 11.1.3.

In summary, Cognos Analytics is among the best BI solutions in the market today and IBM, with its ear to the ground, is delivering enhanced data analysis and reporting capabilities at scale.

Pros & Cons

  • Data Analysis and Visualization: All users who mention data analysis and presentation unanimously agree that this solution covers the full spectrum of BI analytics capabilities.
  • Data management: All users who mention data preparation praise its data integrations and effective metadata management, which ensure data consistency and accuracy across multiple reporting systems.
  • Functionality: Of users who mentioned this platform’s features, around 90% were satisfied with regular updates and enhancements which allow them to create faster, more responsive dashboards.
  • Reporting: Around 89% of users who mention reporting are satisfied, appreciating its ad-hoc reporting and report-sharing capabilities.
  • Setup: Excellent vendor support coupled with the ease of establishing data connectivity with data sources make installation of this solution a breeze, as approximately 87% of users have mentioned.
  • Cost: Around 87% of users who mention cost feel that its licensing model is expensive when compared to other BI solutions.
  • Training: Approximately 45% of users who reviewed training say that the learning curve can be quite steep and though self-service training is available, they would prefer a formal learning program.

Key Features

  • Components: Boost the feature set of the core platform with components that enhance data modeling, visualization and analytics capabilities. 
  • Powerful Reporting: Create detailed charts, graphs, maps, voiceovers and repeat functions with the robust, professional reporting suite. Simplify reporting for non-technical users with express mode. 
  • Web-based Interface: Access the platform on any hardware via the web.
  • Natural Language-powered AI: Interrogate data and receive natural, consistent responses with a built-in AI, powered by NLP. 
  • Automated Modeling: Verify and combine data via automated modeling, and assess relationships between separate data points. 

Pricing

License/Subscription Cost
  • Dependent on the type of license – workgroup, standard or enterprise (refer pricing section for more details)
Maintenance Cost
  • Subscription & Support costs are based on a percentage of the license cost (25% of initial license cost)
  • Software Accelerated Value Programs are an incremental charge calculated on a per-case basis, dependent on the specific service that the customer requires. Customers can't purchase Software Accelerated Value Programs without paying standard Subscription & Support cost
Installation/Implementation Cost
  • Included in license/subscription cost
Customization Cost
  • Will vary depending on the functional requirements such as configurable dashboards, complexity of workflows, forms to collect additional data, UI changes, etc.
Data Migration Cost/Change Management/Upfront Switching Cost
  • Dependent on your current software, amount of data to be migrated, availability of migration tools, complexity of data and gaps between the existing system and the new system.
Training Cost
  • Self-service support is available online
  • Native language support consists of live support and unlimited access for all certified IT technical staff within an organization
Recurring/Renewal Costs
  • Renewal fee includes license cost and maintenance fee for the new or next year
BIRT
BIRT
Start Price
$0
Open-Source
Company Size
Small Medium Large
Deployment
Cloud On-Premise
Platform
Mac Windows Linux Chromebook Android
Request Pricing Request Demo

Why We Picked BIRT

Reviews for BIRT paint a picture of a user-friendly report designer with a loyal following, particularly among those new to report building. Its drag-and-drop interface and pre-built templates are praised for streamlining report creation compared to coding-heavy solutions. This is a major advantage for businesses that need reports up and running quickly, without tasking developers.

BIRT shines in its ability to connect to various data sources, eliminating the need for complex data extraction steps. This is a big win for teams working with data scattered across spreadsheets, databases, and even flat files. While BIRT offers strong core functionality, some reviewers mention a steeper learning curve for advanced features. For instance, users who need to wrangle massive datasets or create highly customized data visualizations might find BIRT limiting compared to more feature-rich (and often pricier) competitors. Similarly, BIRT's mobile capabilities are seen as less robust than some competing products. This can be a dealbreaker for teams that prioritize mobile reporting for field staff or remote workers who need real-time access to reports.

In conclusion, BIRT is a solid choice for businesses seeking a cost-effective and user-friendly solution for generating basic to moderately complex reports. Its strength lies in its ease of use, data source flexibility, and affordability. However, those working with exceptionally large datasets or requiring a highly customized mobile reporting experience might be better served by exploring feature-rich alternatives.

Pros & Cons

  • Drag-and-Drop Report Design: BIRT boasts a user-friendly interface that lets you visually design reports using drag-and-drop functionality. No coding required! This streamlines report creation for business users who might not be familiar with programming languages.
  • Flexibility and Customization: BIRT empowers you to tailor reports to your specific needs. From basic tables to complex charts and graphs, BIRT offers a wide range of data visualization options. This ensures your reports effectively communicate insights to a variety of audiences.
  • Integration with Various Data Sources: BIRT seamlessly connects to diverse data sources like databases, spreadsheets, and even flat files. This eliminates the hassle of data extraction and manipulation, allowing you to focus on crafting impactful reports.
  • Scheduling and Automation: BIRT allows you to schedule reports to run automatically at specific intervals. This ensures you always have access to fresh data, saving valuable time and keeping everyone on the same page.
  • Steeper Learning Curve for Advanced Features: While BIRT excels in drag-and-drop simplicity for basic reports, users venturing into complex functionalities like data scripting or advanced data manipulation might find the learning curve steeper. This can be a hurdle for teams without in-house BIRT expertise.
  • Potential Performance Issues with Large Datasets: Some users report performance limitations with exceptionally large datasets. BIRT might not be the ideal choice if you consistently work with massive amounts of data that require real-time report generation.
  • Limited Mobile Capabilities: While BIRT reports can be accessed on mobile devices, the user experience might not be optimal for all report formats. This can be a drawback for teams that heavily rely on mobile reporting for on-the-go decision-making.

Key Features

  • Data Explorer: Build connections to data sources and view them together with business assets and data cubes.
    • Access and blend various datatypes from a range of sources, including POJOs, JDO datastores, SQL Databases, JFire scripting objects, XML and web services. 
    • Pull in more data than before by extending the available sources with Eclipse’s Open Data Access framework. 
    • Accesses Hadoop data using Hive Query Language. Ingests data from distributed databases like Cassandra through APIs. 
    • Pulls data from LDAP, report documents and Java objects. In addition to Salesforce, it can ingest information from LinkedIn, Facebook and GitHub. 
  • Report Designer: Supports a wide range of reports, layouts and formatting, with reuse of designs and elements. Create report layouts, connect to data sources and produce XML-based report designs. 
    • Navigator: Create a new Report Design Project or a new BIRT file within a project through the navigator. View all the projects in the workspace and create multiple file types such as a design file, template file, library file or report document. 
  • Sample Report Viewer: View reports in a sample web application before publishing them online. Generate and export them in HTML, PDF, CSV formats. Print locally or on the server and rerun them when needed with new parameters. 
  • BIRT Report Engine: Query data sources and merge the query results into the report layouts created by the Report Designer. Produce the report output in a wide range of formats that include Microsoft Office, HTML, PDF, postscript and open document formats. This feature is also available in the BIRT Web Viewer. 
  • Data Visualizations: Create data visualizations with task-specific editors, builders and wizards and integrate into web systems. 
    • Charts: Choose from a vast library of pie charts, Gantt charts, pyramid charts, scattergrams and many more, with multiple subtypes, such as a bar chart with options of side-by-side, stacked and percent stacked. Create charts in 2D, 2D with depth and 3D formats. 
    • Crosstabs: Present data in two dimensions (sales or hits) with the cross-tabulation or matrix feature. 
    • Palette: Drag and drop elements from the palette into the visualization layout. Add rich text to the report, including HTML formatting integrated with dynamic data. Aggregate business metrics with more than 30 built-in SQL operators. 
  • Customization: Make report data easy to understand with support for internationalization, including bidirectional text. Easily replace static report elements — report labels, table headers and chart titles — with localized text. 
  • Lists: Present data methodically through simple data lists by grouping related data together. 
Oracle Reports
Oracle Reports
Start Price
$0
Freemium, Per User
Company Size
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Deployment
Cloud On-Premise
Platform
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Why We Picked Oracle Reports

User reviews of Oracle Reports paint a mixed picture, highlighting both its strengths and weaknesses. Many users appreciate its tight integration with Oracle databases, which makes accessing and reporting on data a breeze. One user stated, "I love the seamless connection to Oracle databases. No more struggling with data extraction and transformation." Another praised its robust data connectivity, highlighting its ability to connect to diverse data sources, "Oracle Reports connects to everything! It's the only reporting tool I need for all my data sources." However, some users find the learning curve steep, with one user commenting, "It's powerful, but mastering it takes time and effort. It's not as user-friendly as some other reporting tools." Additionally, the outdated user interface can feel clunky compared to newer competitors, as one user noted, "The interface feels a bit old-fashioned. It could definitely use a modern upgrade." When compared to similar products like Microsoft Power BI and Tableau, users find Oracle Reports to be less intuitive and mobile-friendly. However, its strengths lie in its deep integration with Oracle technologies and its ability to handle complex reports and large datasets. One user summarized it well: "It may not be the easiest tool to learn, but it's the best choice for organizations heavily invested in Oracle and needing robust reporting capabilities." Ultimately, the decision to use Oracle Reports depends on individual needs and priorities. Users with specialized reporting needs within the Oracle ecosystem and a tolerance for a steeper learning curve may find it a valuable tool. However, those seeking a user-friendly, mobile-first reporting experience with broader third-party integration might be better served by exploring alternative options.

Pros & Cons

  • Tight Integration with Oracle Databases: Seamlessly access and report on data stored in Oracle databases, eliminating the need for complex data extraction and transformation.
  • Robust Data Connectivity: Connect to diverse data sources beyond Oracle, including spreadsheets, flat files, and other databases, providing a comprehensive reporting solution.
  • Advanced Formatting Capabilities: Create visually appealing and informative reports with rich formatting options, including charts, graphs, and interactive elements.
  • Built-in Scheduling Features: Automate report generation and delivery to stakeholders, ensuring timely access to critical information.
  • Scalability and Performance: Handle large datasets and complex reports efficiently, meeting the demands of growing organizations.
  • Security and Compliance: Leverage Oracle's robust security features to protect sensitive data and comply with industry regulations.
  • Steep Learning Curve: Mastering Oracle Reports requires significant training and experience, making it less accessible to users with limited technical expertise.
  • Limited User Interface: The user interface can be outdated and less intuitive compared to modern reporting tools, potentially hindering user adoption and productivity.
  • Limited Mobile Accessibility: Oracle Reports primarily focuses on desktop environments, offering limited mobile accessibility and functionality.
  • High Cost of Ownership: Licensing and maintenance costs for Oracle Reports can be significant, especially for large organizations.
  • Limited Third-Party Integrations: Compared to other reporting tools, Oracle Reports offers fewer pre-built integrations with third-party applications and services.
  • Limited Community Support: The community of Oracle Reports users and developers is smaller compared to other reporting tools, potentially leading to less readily available support and resources.

Key Features

  • Request Queue: Handles report requests by entering them into a job queue, and when a server becomes available the next job in the queue is run. The solution automatically increases the number of available servers to match demand until the maximum is reached to reduce query times. 
  • Mod_Logic Module: Redirects requests from servlets or JSPs to the Oracle Weblogic server for a faster, easy to use UI using Javascript. 
  • Report Bursting: Allows users to generate, publish and distribute reports to pre-defined subgroups such as regions or departments. This keeps data accessible only to those who need to see it and reduces repetitive menial tasks. 
  • Custom Tag Handler: Processes custom tags provided by the JSP file identified by the prefix rw. Users can also create custom tags. 
  • Report Caching: Stores report output so it can automatically reuse it for similar requests, saving users time. 
  • Pluggable Data Sources: The system can pull data from numerous sources via Java APIs. This allows developers to utilize aggregation, summarization, scheduling and formatting on data both within the data warehouse and at its original source. 
  • Integrations: Integrates with standard web environments, Java, JSPs and Web Services. This allows users to run reports on a range of platforms through a web browser using URL syntax. 
SSRS
SSRS
Start Price
$7,500
Annually
Company Size
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Deployment
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Platform
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Why We Picked SSRS

Over the past year, SSRS has garnered a mixed bag of reviews, with some users singing its praises and others hitting a sour note. SSRS shines in its ability to generate a diverse range of reports, from dashboards and charts to graphs, and even allows for custom reports tailored to specific needs. Its level of customization is another high point, enabling users to fine-tune the appearance and data included in reports. However, SSRS has also drawn flak for its complexity, with some users finding it challenging to navigate and master. Compared to similar products like Power BI, SSRS is often seen as less user-friendly and intuitive, especially for those without a strong technical background. This can lead to a steeper learning curve and frustration for users who just want to get the job done. Additionally, while SSRS offers robust reporting capabilities, it may lack some of the advanced analytics and data visualization features found in other modern BI tools.

So, who's the ideal captain for this SSRS ship? It's best suited for organizations with a dedicated IT team or users with a solid understanding of SQL and report design. For those seeking a user-friendly, drag-and-drop experience with advanced analytics, other BI tools might be a smoother sail.

Pros & Cons

  • Easy Report Authoring: The user interface is straightforward, allowing users to quickly create reports without extensive coding knowledge. This ease of use makes it accessible to a wider range of users within an organization.
  • Integration with Microsoft Products: SSRS seamlessly integrates with other Microsoft products, such as Excel and SharePoint, making it a natural choice for organizations already invested in the Microsoft ecosystem. This integration simplifies data sharing and report distribution.
  • Scalability and Performance: SSRS is designed to handle large datasets and complex reports efficiently, making it suitable for enterprise-level reporting needs. Its scalability ensures that it can grow with the organization's data demands.
  • Variety of Export Formats: Reports can be exported to various formats, including PDF, Excel, and Word, providing flexibility for users to consume and share information in their preferred format.
  • Subscription and Automation: SSRS allows users to schedule report generation and delivery, automating the reporting process and ensuring that stakeholders receive timely information.
  • Limited Interactive Features: The platform's page navigation and drill-down capabilities are somewhat rigid, making it challenging to create highly interactive reports that allow users to explore data dynamically.
  • Learning Curve: Mastering the intricacies of SSRS can be time-consuming due to its complex interface and expression language, especially for users without a strong technical background. The learning curve can be a barrier for teams looking for a quick and easy reporting solution.
  • Mobile Rendering Challenges: Rendering reports seamlessly on mobile devices can be problematic, often requiring additional configuration or custom development to ensure optimal viewing experiences on smaller screens.

Key Features

  • Rich Reports: Users can create tabular, graphical, interactive or free-form reports from a range of data types, which the solution displays in rich visualizations.
  • Data Types: This system can incorporate a variety of data types, including multidimensional, relational or XML-based.
  • Viewing Format: The solution offers viewing formats for previews, a range of export formats and a variety of options for publishing reports. Users can access these previews from either a web browser, the SharePoint site or through the associated Microsoft application.
  • Drag-and-Drop UI: Instead of being code-based, this solution lets users drag and drop graphics and icons into the report format.
  • Ad-Hoc Reports: Users can generate on-the-fly reports to answer specific business questions by inputting their query.
  • Automated Reports: The solution allows scheduled reports to be automatically delivered to specified users. This makes sharing those repetitive reports a breeze.
JasperReports
JasperReports
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Why We Picked JasperReports

JasperReports is a suite of integrated products that offer solutions for creating, sharing and securely managing KPI-focused reports, dashboards and visualizations. All users who reviewed the platform’s cost-effectiveness said that its being open-source is a major plus. Most of the users who mentioned data connectivity said that, besides seamlessly integrating with a multitude of data sources out-of-the-box, it helps businesses develop custom sources to import as much data as possible. Most of the users who discussed its functionality said that the tool is easily embeddable in host applications, and scales easily to create and display visualizations and reports in-application. Support is responsive and online communities are proactive and helpful, according to a majority of the users who discussed them. Many of the users who reviewed its interface said that they find it easy to start creating reports with the tool. Most of the users who discussed its reporting capabilities said that it helps them customize reports in a variety of formats and schedule sharing with teams via email. A majority of the users who reviewed data visualization said that the tool helps them present data in a wide range of visually appealing formats, such as charts, graphs and cross-tabs.
On the flip side, according to a majority of the users who reviewed performance, the platform is prone to infrequent bugs, and debugging them can be time consuming. Many of the users who discussed ease of adoption said that there is a steep learning curve, possibly due to inadequate documentation. Some users who mentioned ease of reporting said that it is time and effort-intensive to create professional-looking reports.
In summary, JasperReports is a suite of versatile and customizable reporting and analytics solutions that help the end-user find answers to the data questions that are specific to their business, though there might be a significant learning curve for adoption by teams, with Java at its back-end.

Pros & Cons

  • Pricing: All users who reviewed pricing said that the platform, being open-source, is cost-effective.
  • Data Integration: Around 83% of the users who discussed data source connectivity said that the solution pulls data seamlessly from a wide range of data sources.
  • Functionality: Citing versatility and scalability, approximately 77% of the users who reviewed its functionality said that the tool is easily embeddable in proprietary applications.
  • Support and Online Community: Support is responsive and the online community is helpful, according to 69% of the users who mentioned them.
  • Ease of Use: Around 68% of the users who discussed the interface said that it is easy to create reports and data visualizations with the tool.
  • Performance: Around 87% of the users who reviewed performance said that debugging errors can be tricky and the platform needs to improve in this regard.
  • Learning Curve: Approximately 67% of the users who mentioned onboarding said that there is a steep learning curve to using the solution.

Key Features

  • Big Data: Connect to large data sources like Hadoop, Cassandra, MongoDB, etc. through data connectors. Perform data exploration through batch reporting against Hadoop and NoSQL data sources. 
  • Report Snapshots: Enable rapid response time for sharing visualizations. Reduces query impact on underlying source systems. 
  • Centralized Repository: Securely store and manage all reports, dashboards, analytic views, profiles and more in a central repository. Monitor report access and usage through auditing. 
  • Report and Dashboard Scheduler:  Automate sharing of reports and dashboards across the organization through the scheduler, either on a one-off or recurring basis. Integrate interactive reports into web applications or embed them in emails for simplified shareability. 
  • Flexible Design: Modular, scalable, standards-based design offers flexibility in deployment and usability. Deploy anywhere — on-premises, in the cloud or inside containers. 
  • Branding and Theming: Customize the interface — logos, font colors and styles, spacing and graphic elements — to match the organization’s brand and theme. 
  • Data Virtualization:  Keep enterprise data secure by eliminating the need to move it across platforms. View and access data where it is stored through metadata. 

COMPARE THE BEST Data Warehouse Reporting Tools

Select up to 2 Products from the list below to compare

 
Product
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SelectHub’s Analyst Rating is based on data from our 400+ point analysis of Data Warehouse Reporting Tools, user reviews, and our own crowd-sourced data from our free software selection platform. Scores are periodically updated via ongoing selection projects and user activity within our platform.
Start Price
Free Trial
Company Size
Deployment
Platform
Logo
JReport
$10,000
One-Time
Yes
Small Medium Large
Cloud On-Premise
Mac Windows Linux Chromebook Android
JReport
Tableau
$15
Per User, Monthly
Yes
Small Medium Large
Cloud On-Premise
Mac Windows Linux Chromebook Android
Tableau
Power BI
$10
Per User, Monthly
Yes
Small Medium Large
Cloud On-Premise
Mac Windows Linux Chromebook Android
Power BI
BusinessObjects
$5,000
Annual
No
Small Medium Large
Cloud On-Premise
Mac Windows Linux Chromebook Android
BusinessObjects
Domo
$15
Per User, Monthly
Yes
Small Medium Large
Cloud On-Premise
Mac Windows Linux Chromebook Android
Domo
Cognos Analytics
$50
Per User, Monthly
Yes
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Cloud On-Premise
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Cognos Analytics
BIRT
$0
Open-Source
No
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BIRT
Oracle Reports
$0
Freemium, Per User
Yes
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Oracle Reports
SSRS
$7,500
Annually
Yes
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SSRS
JasperReports
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JasperReports

All Data Warehouse Reporting Tools (29 found)

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JReport

by Jinfonet Software, Inc.
JReport
JReport by Logi Analytics (now discontinued) empowered companies to perform data analysis and generate reports directly from other business applications. It was scalable, customizable, fault-tolerant and worked seamlessly within other web interfaces. It integrated with any architecture and supported a range of embedding methods from the front and back ends.
User Sentiment User satisfaction level icon: excellent
Cost Breakdown
$1,000 or more
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Tableau

by Tableau Software
Tableau
Tableau is a data visualization and analytics solution for enterprises and individuals. A rich library of connectors helps you pull data from files, cloud sources and servers. A separate data management module, Tableau Prep, ensures your data is ready to transform when it comes into the platform.Its latest features include AI with Tableau Pulse and the Einstein CoPilot.Software, healthcare, manufacturing, banking and financial services, and retail companies will find it helpful. Whatever your domain, chart, plot and map data will give you a clear picture of business performance.Besides, you can track daily operations and support line-of-business decisions with hardcore data. At the higher level, it boosts planning by giving senior management the freedom to dig deeper.A Tableau Creator license costs $70 per user and includes Tableau Desktop and Tableau Cloud. Alternatively, you can deploy it on-premise and connect to the cloud using a bridge. A free trial of Tableau Desktop is available, and Tableau Public is always free to use.Though it's a user favorite for data visualization, many users find it expensive and slow when handling large datasets.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$10 - $100
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Power BI

by Microsoft Corporation
Power BI
Microsoft Power BI is an analytics and reporting solution for individuals and enterprises. Ranked among the top five products in our BI product directory, it’s a user favorite, with 88% of reviewers giving it the thumbs up.It’s versatile in connectivity, pulling data from files, databases and cloud sources. Power Query helps users transform data to the desired format for building accurate models. They will serve as the basis for analysis and reporting. With Azure Machine Learning, Power BI incorporates AI into the analysis.Government agencies find them handy for tracking citizen programs, crime and health data, and utilities. For healthcare companies, it proves helpful in patient data tracking, population health management and operations. Retail is all about sales and revenue, and if this is you, the vendor offers ready-made report templates that can help you hit the ground running. That’s not all; other report samples are available too.Reusable dataflows in Power BI help you create a process once and run it again. Dataflows are shareable, so your whole team benefits. DAX enables complex calculations, while natural language Q A speeds up analysis. Team workspaces enable collaboration, and mobile insight is available.Individual accounts include Power BI Desktop, Power BI Pro and Premium per User (PPU). Pro and PPU licenses use Power BI Service, which lets you share content with other Pro users and is suitable for small businesses.Power BI Premium is an enterprise license; you can share content with anyone, even external users. Pro and PPU cost $9.99 and $20 per user monthly, while Premium comes at $4,995 per month. User reviews praise it for ease of use, connectivity and modeling, but most users find the pricing confusing, possibly because of the various Microsoft integrations that make Power BI a complete package.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$10 or less
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BusinessObjects

by SAP, Inc.
BusinessObjects
BusinessObjects is a suite of business intelligence (BI) tools that helps organizations collect, analyze, and visualize data to make better decisions. It's most suited for large enterprises with complex data needs, as it offers a wide range of features and capabilities. Key benefits include improved data visibility, enhanced decision-making, and increased productivity. Popular features include data modeling, reporting, ad hoc querying, and dashboards. User experiences highlight its ease of use, robust functionality, and scalability, though some note its potential for complexity and higher learning curve. Compared to similar products, BusinessObjects often stands out for its comprehensiveness and integration capabilities. Pricing is typically based on a per-user or per-named-user basis, with annual subscription fees. Pros Easy to use Robust features Scalable Comprehensive Integrates well Cons Can be complex Steeper learning curve Costly May require training Can be resource-intensive
User Sentiment User satisfaction level icon: great
Cost Breakdown
$1,000 or more
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Domo

by Domo
Domo
Domo is a cloud-based analytics platform that integrates end-to-end data management into one solution. Being SaaS, it’s available from anywhere with an internet connection. The vendor offers the best of both worlds — self-serve ease of use and data science.Domo has a friendly interface aimed at senior management who are hard-pressed to make tough decisions daily. A breadcrumb trail at the top of the workspace will help you navigate between folders. A performant, scalable warehouse supports fast queries with in-memory data.Domo Buzz is an instant messaging option like Slack with file sharing and is available on the mobile app also. Annotation options allowed me to add comments to my chart and mark data points of interest. If you want something more than what it offers, you can build your own apps within Domo. It’s our analysts’ pick and a user favorite in its category for these and more features.Domo Everywhere is the embedded version, though it doesn’t offer as many options to design views as some other platforms, such as Dundas BI.You can use Domo dashboards and reports for several critical tasks. Decide where to reduce spending and identify the factors that affect your business. Forecast demand for your services and products. Predict how unexpected events can impact the economy and your business and do much more.There’s a 30-day free trial after which you can upgrade to the Standard or Enterprise pricing model. Or opt for the Business Critical edition to get a private AWS link that promises watertight security and reduces latency.Some users mention performance limitations, which could be caused by shared cloud resources. The vendor offers a consumption model — pay for what you use and add unlimited users at a flat fee of $750.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$10 - $100
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Cognos Analytics

by IBM
Cognos Analytics
IBM Cognos Analytics is a self-service, web-based analytics platform which empowers users of all skill levels to explore data through reporting, data analytics, KPI monitoring, events and metrics. Reports give users the ability to not just visualize their insights, but also share them with colleagues. It integrates with Watson Analytics, which leverages IBM’s artificial intelligence and natural language processing to make insights more accessible to non-technical users. It has various components which give additional functionality, flexibility and agility when processing large sets of data.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$10 - $100
Company Size
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BIRT

by Eclipse Foundation
BIRT
It’s an open-source project on Eclipse and is an acronym for Business Intelligence and Reporting Tools. It lets organizations extract and transform data for business analysis. Its Report Designer enables visual report-building within interactive dashboards. The runtime component executes the reports once ready. Embedded into a range of business interfaces, it enables custom design layout, data access and scripting to present report output over the web. It supports charts, crosstabs, using multiple data sources within the same report, re-using queries within reports and addition of custom code.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$10 or less
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Oracle Reports

by Oracle America
Oracle Reports
Oracle Reports is a reporting tool designed for developers who need to create and deliver business-critical reports. It offers a wide range of features, including a drag-and-drop interface, built-in data visualization tools, and support for multiple data sources. Oracle Reports is well-suited for organizations that need to create complex reports that require data from multiple sources. One of the most important benefits of Oracle Reports is its ability to create highly customized reports. Users can create reports that meet the specific needs of their organization, and they can easily modify those reports as needed. Additionally, Oracle Reports offers a number of features that make it easy to distribute reports, including support for a variety of output formats and the ability to schedule reports to run automatically. Another popular feature of Oracle Reports is its built-in data visualization tools. These tools make it easy to create charts and graphs that can help users to understand their data more easily. Additionally, Oracle Reports offers a number of features that make it easy to integrate reports with other applications, such as dashboards and portals. When compared to other reporting tools, Oracle Reports offers a number of advantages. One advantage is its ability to handle large and complex data sets. Additionally, Oracle Reports is well-integrated with other Oracle products, such as Oracle Database and Oracle Business Intelligence. However, Oracle Reports can be more expensive than other reporting tools, and it can be more difficult to learn and use. Overall, Oracle Reports is a powerful and versatile reporting tool that can be a valuable asset for organizations that need to create and deliver business-critical reports. Pros Highly customizable reports Easy to distribute reports Built-in data visualization tools Integrates with other Oracle products Handles large and complex data sets Cons Can be expensive Can be difficult to learn and use Limited support for non-Oracle data sources Not as user-friendly as some other reporting tools May require additional hardware and software
User Sentiment User satisfaction level icon: good
Cost Breakdown
$10 or less
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SSRS

by Microsoft Corporation
SSRS
The SSRS (SQL Server Reporting Service) platform from Microsoft allows users to create, share, deploy and manage reports for their business. The server-based system offers customization functions and lets users prepare and deliver various types of documents, both printed and interactive. This software can connect to SQL databases and utilize the Microsoft Visual Studio interface to explore and prepare data. It allows non-technical users access to report building and data exploration techniques that improve data literacy.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$1,000 or more
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JasperReports

by TIBCO Software Inc.
JasperReports
JasperReports, at its core, is an embeddable, open-source Java-based reporting tool that can write to a variety of destinations. It can generate dynamic content suitable for embedded analytics. It includes the JasperReports Library, which is a reporting engine, and the JasperReports Server that provides advanced server capabilities, such as report scheduling and permissions-based access.Integrating into the larger Jaspersoft suite, to cater to businesses with sophisticated requirements, it supports front-end data visualization and reporting through Jaspersoft Studio.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$100 - $500
Company Size
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Funnel

by Datainspektionen
Funnel
Integrate data from different platforms with the aid of connectors to facilitate robust analysis. Access real-time data to extract useful insights. Export data to multiple destinations for advanced analysis and visualization. Consolidating data at a centralized location ensures users gauge ROI across different marketing channels and campaigns. Understand KPIs with up-to-date dashboards and reports. Leverage standard rules to define naming conventions for dimensions and metrics.
User Sentiment User satisfaction level icon: excellent
Cost Breakdown
$100 - $500
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Crystal Reports

by SAP, Inc.
Crystal Reports
SAP Crystal Reports is a feature-rich reporting tool that gleans business-critical insights through data exploration, visualization and custom reporting. Users drill-down to a high level of granularity to interact with and display data via visually rich reports and dashboards, enabling greater understanding of the metrics that count. Available as a SaaS model or hosted locally, it integrates with other SAP and third-party offerings, and third-party applications such as Microsoft Office to provide entry-level user access to data. Users leverage a universal semantic layer to query large data sets and to intuitively design ad-hoc and print-ready reports in a variety of export formats.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$1,000 or more
Company Size
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MicroStrategy

by MicroStrategy
MicroStrategy
MicroStrategy is a data visualization and reporting platform that deploys on-premise and on the web. The cloud version runs on AWS or Microsoft Azure. MicroStrategy Library is the web edition, while Workstation is the desktop version.It reigns supreme as the top analytics tool in our product directory and provides 91% of the required features out of the box. Regarding source data integration, it leaves very little to chance, winning our best-in-class award for connectivity. With over 200 connectors, there’s a high chance it’ll satisfy your data needs.If not, you can build one using a software development kit. SDKs are also the force behind REST and embedding APIs, HyperIntelligence and data visualization. Plus, the semantic layer enables automating data prep and analysis and generating visualizations on cue.Dossiers in MicroStrategy are like books; they have chapters further divided into pages, and each page has one or more visualizations. Every view is free-form — you can move charts around and organize them as you like. With write-back capability, you can update underlying databases from visualizations.The vendor launched its unified cloud AI analytics platform, MicroStrategy One, with GPT-4o in September 2024. It’s twice as fast, digging into the selected data to produce dashboard summaries and answer user queries in seconds. Update 12 has auditing capabilities and shows details of active licenses, including their compliance status.Its heart and soul is an Intelligence Server that manages metadata and processes queries. A mobile app is available. There’s a 30-day trial, but access to group permissions, KPIs and subscriptions requires a paid upgrade.User reviews mentioned that the solution was effective, but the ecosystem and pricing were complex.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$10 - $100
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Microsoft Dynamics GP

by Microsoft Corporation
Microsoft Dynamics GP
Microsoft Dynamics GP is a versatile solution, well-suited for companies seeking to connect supply chain workflows with tasks such as financial management and human resources management. It offers a range of features, with the option to add on integrations with third-party offerings or implement advanced packages to further increase its functionality. It helps free up employee time to focus on other tasks through its automation of processes such as the generation of receivables, the creation of purchase orders and the direct deposit of employee pay to bank accounts. Available on-premise or in the cloud.
User Sentiment User satisfaction level icon: good
Cost Breakdown
$100 - $500
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InsightSquared

by InsightSquared
InsightSquared
InsightSquared is a sales analytics SaaS platform that builds a path for revenue operations professionals from sales data to sales intelligence, empowering them to make better decisions informed by insights. It helps businesses dig deep into their sales pipelines to thoroughly understand what drives results. With AI-powered forecasting, detailed reporting, complete sales funnel visibility and employee performance tracking, it enables enterprises to track their key metrics and sales growth with precision and strategize for the future with confidence.Suitable for companies of all sizes, it simplifies the sales process and helps businesses improve ROI and maximize their results. As each offering is customized to fit the client’s needs, pricing and functionality will vary based on the tier of plan and number of components selected.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$10 - $100
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GoodData

by GoodData Corporation
GoodData
GoodData is a powerful, embeddable, customizable SaaS solution that combines, analyzes and visualizes the internal and external data of an organization to help businesses change the way they make decisions, with a focus on data-driven best practices. It lets users process data, analyze trends and create visualizations that present information in an easily-digestible format. Users can interpret these visualizations to draw insights and make intelligent business decisions.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$10 - $100
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Planful

by Planful
Planful
Formerly Host Analytics, Planful is a financial planning and analysis cloud platform. It accelerates end-to-end FP A. Suitable for midsize to large-scale businesses, it helps by centralizing data and managing financial and operational processes. It helps users plan and manage reviews, approvals and submissions and generates workflow status reports to check the performance of every department. It helps analyze asset performance by using financial budgeting and forecasting techniques with its capital planning feature. It is a scalable solution that allows companies to check the effect of projects on the overall bottom line.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$1,000 or more
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WebFOCUS

by Information Builders Inc
WebFOCUS
WebFOCUS is a comprehensive data management and analytics platform that enables organizations to access, transform, visualize, and distribute data across multiple platforms. It's particularly well-suited for enterprises with large, complex datasets and a need for robust reporting and analytics capabilities. Key benefits include its ability to unify disparate data sources, create interactive dashboards and visualizations, and automate data-driven workflows. Popular features include its drag-and-drop report builder, self-service data exploration tools, and integration with various business intelligence applications. User experiences generally praise its ease of use, scalability, and ability to handle diverse data types. Pricing is typically based on the number of users, data sources, and required features, with options for both on-premise and cloud-based deployments. Pros Easy to use interface Handles large datasets Diverse data source integration Customizable reports and dashboards Scalable for enterprise needs Cons Occasional performance issues Limited out-of-the-box visualizations Upgrades can be complex UI may feel outdated to some Learning curve for advanced features
User Sentiment User satisfaction level icon: great
Cost Breakdown
$10 - $100
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Jet Reports

by Jet Reports
Jet Reports
Jet Reports is a robust software solution designed to streamline Business Intelligence (BI) tasks, offering comprehensive data analysis and reporting capabilities. It is particularly well-suited for organizations that rely on Microsoft Dynamics ERP systems, as it seamlessly integrates with these platforms to provide real-time data insights. This makes it an ideal choice for businesses seeking to enhance their decision-making processes through accurate and timely information. One of the key benefits of Jet Reports is its user-friendly interface, which allows users to create and customize reports without extensive technical knowledge. Popular features include advanced data visualization, automated reporting, and the ability to drill down into data for deeper analysis. Users appreciate the software's flexibility and the efficiency it brings to their reporting workflows. Compared to similar products, Jet Reports is often praised for its ease of use and strong integration capabilities. Pricing details can vary based on specific needs and usage, so it is recommended to contact SelectHub for a tailored quote. This ensures that users receive a pricing plan that aligns with their unique requirements.
User Sentiment User satisfaction level icon: great
Cost Breakdown
$100 - $500
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Infor Birst

by Infor, Inc.
Infor Birst
Infor Birst is a cloud-based analytics software tool that aims to help users discover insights without the need for analyst input. It unifies IT-managed enterprise data with user-owned data, supporting the blending of both in a top-down and bottom-up manner. It uses consistent business metrics to structure raw data into organized sets and visualizations. It helps users identify patterns and better understand their organization’s KPIs. It offers a seamless, integrated UI that allows users to perform every step of the data analysis process in a single interface, enabling a smooth experience. It can be deployed either from the cloud or self-hosted on-premise. Users can purchase it in three available formats: per-user fee, by department or business unit or by end-customer in embedded scenarios.To explore other popular solutions that Infor offers, visit our Infor company page.
User Sentiment User satisfaction level icon: great
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$1,000 or more
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Buyer's Guide

Data Warehouse Reporting Tools Are All About Finding Unique, Accurate Insights

By Ritinder Kaur, Market Analyst at SelectHub

Data Warehouse Reporting Tools BG Intro

Enterprise reporting is the reason business intelligence exists. Central storage is common now, and data warehouse reporting tools are in demand. To reap rich dividends, tracking performance with enterprise reporting tools is essential.

Reports inform you about daily operations, revealing blockers, successes and general business health. If your company has outgrown its current reporting system, you’ve come to the right place. This buyer’s guide discusses data warehouse reporting tools and choosing an ideal solution.

Executive Summary

  • Data warehouse reporting tools are solutions that support business reporting and decision making.
  • Ask for data connectivity, fast querying and visualization capabilities when selecting reporting software.
  • Prepare questions for vendors to gain an understanding of their software and services.
What This Guide Covers:

What Are Data Warehouse Reporting Tools?

Data warehouse reporting tools query warehouses for transactional reporting and performance analysis. A data warehouse is an active decision support system that differs from databases. It stores transformed data, has watertight security and enables fast information retrieval.

Data warehouses store common and rarely accessed results separate from each other. It saves time when you search for information, with help from metadata.

Warehouses store the latest information, thanks to data integration and ETL (extract, load and transform) tools.

Reporting tools form the top tier of the information warehouse architecture. The OLAP server forms the middle layer. The bottom layer comprises ETL tools, the information warehouse and data marts.

Data Warehouse Architecture

Data Warehouse Reporting Tools Categories

Reporting tools work with all types of sources — you won’t find one that queries only warehouses. They include small files and big data sources. Many tools have vast connector libraries to pull information within seconds.

The option to add custom connectors opens up new sources for businesses. Do reporting tools view warehouse data as separate from databases? For one, this information is already prepped. Also, they align with warehouse security protocols, hierarchies and schemas.

Data Mining

It’s a term for the various methods of getting meaningful information from data. You can detect fraud and flag security issues and bottlenecks.

These methods include the following.

Its benefits include buyer behavior identification, customer segmentation, basket analysis and forecasting. Fraud detection and risk analysis are possible with pattern recognition and deviation detection.

Every organization that runs on data uses data mining. Common industries include financial services, retail, advertising, healthcare, telecommunications and manufacturing.

Data mining supports sales, marketing, supply chain and ERP (enterprise resource planning). Other departments include human resources, workforce scheduling, customer relationship and enterprise performance management.

How Does Data Mining Work?

Deriving “meaningful information” requires identifying dataset correlations. Model building is one way to do that.

Creating a data model involves linking two or more variables together. Many times, it requires visualizing the association — charts and graphs make interpretation easier. Often, there's a dependent variable and two or more independent variables.

Once built, you must train the model with sample or training data. Then verify it works using test data. Feed it actual information to perform what-if and regression analysis.

OLAP vs. OLTP

Information warehouses store simple and multidimensional data in one repository. They contain transactional and analytical data. With OLTP (Online Transactional Processing), they serve a large number of users. An example would be providing internet banking to a bank’s millions of customers.

Reporting includes OLAP (Online Analytical Processing) when you have access to multidimensional metrics. OLAP is synonymous with the term “cubes.”

Data cubes have a three-dimensional appearance like Rubik's Cubes. They have a star or snowflake-shaped schema with a table at the center that contains aggregations reconciled by dimensions, another name for categories.

Imagine a cube with values along the x, y and z axes. Sales (x-axis) for particular cities (y-axis) for September (z-axis) is an OLAP analysis. Filtering against period and state will give you the desired report. These reports are shareable via chat, downloads, email and sometimes, collaborative applications.

Reporting servers run MDX (Multidimensional Expressions) queries against the data warehouse. It happens at the backend, which frees you from learning MDX. Once the results are in, the reporting server pushes them to the front end.

In the case of web OLAP, it uses HTML5 or CSS to render the results on your screen. Web-based OLAP is lightweight and enables report downloads and viewing on mobile devices. OLAP queries are complex and serve a small group of users. Often, these users include data scientists and business analysts.

Primary Benefits

An efficient reporting tool keeps you competitive with accurate insight on demand. It gives you the tools to plan and build a strategy that can boost your bottom line. Automation frees you from repetitive tasks, allowing you to focus on analysis.

Benefits Data Warehouse Reporting Tools

Stay Competitive

With quality information, you can make the right decisions at the right time. Learn when to pull back on loss-making ventures and when to grab opportunities. Emulate successes and identify improvement areas.

You can manage project timelines and keep your promise to clients. Successful projects help establish your business as a serious market player. You can commit to new projects with information on how many resources will be available and when. Data tells it all.

Many reporting tools support branding in embedded reports. It keeps your company at the front and center during meetings and presentations.

Improve Decision Making

External data sources aren’t modifiable, but you can set up information warehouses as desired by defining data preparation workflows.

Querying against sources in their natural state is a different story. You must copy or virtualize the data and then start cleansing and transforming it. Also, you need the necessary tools for data preparation.

A hierarchical arrangement of multidimensional data keeps reports clutter-free. Get a high-level overview or go deep for a closer look. Data cubes store frequent queries and answer questions canned reports don’t satisfy. It encourages critical thinking and proactive decisions.

Delegate

Interactivity is a common feature of modern reporting tools. It lets you switch the data, move it around and view it from different angles. You can create many reports from one or the other way around.

Templates help you get a head start with reporting. Automation takes the drudgery out of report generation and sharing. You can save reports as templates and add them to the template library. Additionally, you can automate other repetitive tasks and reclaim your time.

Get Fast, Accurate Reports

Information in warehouses is orderly, which facilitates asking questions and building reports. Reporting is more accurate, removing the need for manual linking to individual sources.

Self-service capabilities democratize business reporting, enabling autonomous exploration and analysis. Productivity gets a boost with reduced turnaround times and less IT burden. Teams become self-reliant and data literate. Quicker decisions feed downstream systems, accelerating delivery cycles.

Key Features & Functionality

Talk to decision makers and teams that’ll use the software. Create a checklist of must-haves and nice-to-have features. Add data management features including data connectivity, visualization, sharing options and embedded reporting.

Features Data Warehouse Reporting Tools

Source Connectivity

The reporting tool must connect to your preferred databases, lakes and streaming sources. Connectivity shouldn’t be limited to warehouses alone.

The ability to create custom connections is a must for scalability. What if new sources become available? OLAP and OLTP querying and data mining methods must be built into the reporting tool.
Data Querying

Reading database schemas and metadata is part of every reporting and BI tool’s DNA. But is the tool’s data querying fast and accurate? Check with potential vendors about any latency and downtime issues. These will be critical especially if the data warehouse is cloud-based.

A software proof of concept or a trial run is the best way to try the product before you decide.
Self-service Reporting

Short delivery cycles make independent reporting a must. Your stakeholders must have the tools to create, edit and design reports as necessary. Interlinking reports and navigating from one to the other should be possible.

If the solution allows collaborating on reports, versioning must be available. You should have the option to leave comments by tagging colleagues and clients.
Report Sharing

The data warehouse reporting tool must integrate with your business systems. Embeddable reports allow your users to get insights into their applications.

Reports should be downloadable and exportable in common industry formats. You should be able to share them via chats and email and embed them into websites.
Data Modeling and Forecasting

Interactive visualizations allow everyone to build models without asking for help. Identifying how specific metrics are connected helps you plan and build strategies.

Modeling supports daily operations and trend forecasting with predictive analytics.
Augmented Analytics

Machine learning (ML) and natural language processing (NLP) enhance your tool's reporting capabilities. You can perform text and voice-based searches and build useful models. Automated search and visualization recommendations guide reporting and analysis.

Augmented analytics as a requirement is subjective and might not be business-critical. It depends on your industry, projects and organization size. Evaluate your business needs before putting this functionality on your must-have list.

Can you do without it?
Information Security

Organizational data must be secure and in compliance with current governance regulations.

Your reporting tool must follow access and governance protocols and permissions. Activity logs, versioning and usage data promote accountability and compliance.

Ensure your data warehouse reporting tool complies with existing privacy regulations. Ask potential vendors if they update compliance as industry regulations change.

Software Comparison Strategy

Many data warehouse reporting tools have similar features. It can be overwhelming to decide which solution is the best fit for your business.

Start by considering your business needs.

  • Who will use the program?
  • Will they adapt to it easily, or will they need training?
  • Where does your current solution fall short?
  • How can a data warehouse reporting tool help?

Thoroughly research potential vendors. Check online reviews, read industry guides and ask colleagues for recommendations. Some vendors offer a free trial so you can try the software before deciding.

Before comparing software, create a requirements checklist using our ready-to-go template. Freeze your requirements after thorough consultation with stakeholders. Convert them into questions and distribute them to potential vendors with an RFP (request for proposal).

Review vendor proposals with top management and rank them. Arrange them in order from the highest-ranking to the lowest-scoring vendor. Start at the top and reach out to vendors in turn.

Refer to our Jumpstart Platform to compare the leading data warehouse reporting products.

Go through our nine-step Lean Selection Methodology to streamline your search.

Cost & Pricing Considerations

Software cost ranks at the top of your list of considerations but it shouldn’t be the leading criterion. Removing the top products from your list because they’re beyond your budget isn’t advised. You might miss out on cutting-edge features.

Compare their capabilities with your requirements and pencil in the product price. Some products have a one-time cost of entry, while others are subscription-based.

A one-time payment might seem like a smart investment, but future updates will cost extra. You might need to hire in-house developers. You have full control over your data, though.

With a subscription model, the vendor provides an instance when your users log in. It seems lighter on the pocket, but extra features or plugins can add to the overhead.

Maintenance, downtimes, upgrades and fixes are all on the vendor, which is a good thing. But, your data is on the vendor’s servers and technically out of the bounds of your company’s infrastructure. Are you okay with that?

Consider the cost of customization and data migration when calculating the final cost.

The Most Popular Data Warehouse Reporting Software

Now that you know what data warehouse reporting tools can do, how can you choose a good fit? Jumpstart your search with our research team’s list of the most popular solutions in the market.

JasperReports

It’s an open-source reporting library on Eclipse IDE (integrated development environment). JasperSoft Studio works with the JasperReports engine for visualization and reporting. You can build professional reports, embedding them into analytics tools and websites. A native mobile app is available.

JasperReports

Spider charts show adjacent variables in a single series connected by lines. Source

Crystal Reports

SAP Crystal Reports is available as a software-as-a-service and local deployment. It integrates with other SAP and third-party offerings out of the box. You can design print-ready reports and generate insight in real time. An intuitive semantic layer enables complex, sophisticated queries.

Exporting full reports or selected pages is possible. Role-based licensing makes the product an attractive option for small and medium-sized businesses.

Crystal Reports

Code hinting speeds up formula building in Crystal Reports. Source

MicroStrategy

It’s a business intelligence platform that allows you to build datasets for dossiers. It allows the use of a free-form SQL canvas to write custom queries. The vendor recently introduced live report interactivity in its Workstation and Library.

The platform creates Intelligent Cubes in response to your queries, storing them in memory to reduce the query overload in the data warehouse. MicroStrategy automatically saves the last view, and versioning is available.

MicroStrategy

A freeform SQL builder for reporting in MicroStrategy. Source

 

 

Questions To Ask

To better understand your company’s requirements, ask yourself these guiding questions.

  • What’s our budget?
  • Will our employees need training?
  • What are our current pain points?
  • What problems can this software help us solve?
  • Do we have the technical resources for implementing and maintaining a new system? Will we need to rely on the vendor?

Data Warehouse Reporting Tools Key Questions

Listing your questions ahead of vendor discussions helps cover all product-related queries. It reduces unnecessary emails and phone calls. It's also an excellent way to know what to expect if you buy software from them.

  • How many years of expertise do you have in the industry?
  • What customer support and training do you offer?
  • Is the software customizable to specific business needs?
  • How long does onboarding typically take?
  • What are the software’s core strengths?

Next Steps

Data warehouse reporting tools provide critical decision support with accurate and timely insights. They improve the speed and quality of everyday reporting and analytical insights.

Software research and comparison deserve due diligence and time. And putting in the hard work will reap rich dividends in the long run.

We hope this buyer’s guide helped narrow down your choices. Get started with our comparison report to gain insight into top software leaders. Good luck!

Additional Resources

About The Contributors

The following expert team members are responsible for creating, reviewing, and fact checking the accuracy of this content.

Ritinder
By Ritinder Kaur
Technical Content Writer
Ritinder Kaur is a Senior Technical Content Writer at SelectHub and has eight years of experience writing about B2B software and quality assurance. She has a Masters degree in English language and literature and writes about Business Intelligence and Data Science. Her articles on software testing have been published on Stickyminds.
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Sagardeep
Technical Research By Sagardeep Roy
Senior Analyst
Sagardeep is a Senior Research Analyst at SelectHub, specializing in diverse technical categories. His expertise spans Business Intelligence, Analytics, Big Data, ETL, Cybersecurity, artificial intelligence and machine learning, with additional proficiency in EHR and Medical Billing. Holding a Master of Technology in Data Science from Amity University, Noida, and a Bachelor of Technology in Computer Science from West Bengal University of Technology, his experience across technology, healthcare, and market research extends back to 2016. As a certified Data Science and Business Analytics professional, he approaches complex projects with a results-oriented mindset, prioritizing individual excellence and collaborative success.
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Manan
Technical Review By Manan Roy
Principal Analyst
Manan is a native of Tezpur, Assam (India), who currently lives in Kolkata, West Bengal (India). At SelectHub, he works on categories like CRM, HR, PPM, BI, and EHR. He has a Bachelor of Technology in CSE from The Gandhi Institute of Engineering and Technology, a Master of Technology from The Institute of Engineering and Management IT, and an MBA in Finance from St. Xavier's College. He's published two research papers, one in a conference and the other in a journal, during his Master of Technology.
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Hunter
Edited By Hunter Lowe
Content Editor
Hunter Lowe is a Content Editor, Writer and Market Analyst at SelectHub. His team covers categories that range from ERP and business intelligence to transportation and supply chain management. Hunter is an avid reader and Dungeons and Dragons addict who studied English and Creative Writing through college. In his free time, you'll likely find him devising new dungeons for his players to explore, checking out the latest video games, writing his next horror story or running around with his daughter.
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