Sisense For Cloud Data Teams vs Klipfolio

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Our analysts compared Sisense For Cloud Data Teams vs Klipfolio based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

Sisense For Cloud Data Teams Software Tool

Product Basics

Formerly known as Periscope Data, Sisense for Cloud Data Teams is a data analytics software tool that integrates seamlessly with the Sisense platform, offering advanced analytics that delivers actionable insights to teams that work with data in the cloud. It provides a single, cohesive interface for users to store, organize, analyze and visualize all their data for better decision-making. It empowers users of all kinds to produce, consume and share insights intuitively together, with or without coding knowledge.

Originally founded in 2012 in San Francisco, California, it was acquired by Sisense in May 2019 and rebranded in January 2020.
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Klipfolio is an analytics software tool that helps users wield data intelligently and confidently by building dashboards and reports that track KPIs and monitor trends. Users can glean insights from information across the organization collected in one convenient place and deploy interactive data visualizations that they can share with ease.

It is available through an annual or monthly subscription to one of four plans: Publish, Grow, Team and Team+. The number of dashboards and users allowed, as well as the data refresh rate and level of support varies depending on the pricing plan selected.
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$3,000 Annually, Freemium
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Product Insights

  • Transforms Data Fast: Perform timely data querying and large-scale data ingestion for any volume of workload, through the analytics warehouse integration. Plug the data engine directly into cloud databases and optimize raw data by bypassing steps of the ETL process. Enable hassle-free data import via proprietary data caching technology
  • Centralized Data Warehouse: Creates a single source of truth by ingesting and storing data where it’s analyzed, speeding up analytics processes.
  • Ease of Use: Explore data and visualize trends through simple search query language, rather than via coding or modeling, making it an accessible solution for users of all technical skill levels.
  • Stats at a Glance: Understand and parse the results of data queries through Summary Statistics, without needing to write more SQL while exploring data and building models.
  • Reusable Analysis: Save time by storing frequently used in-house codes for swift collaboration without needing to start new queries from scratch.
  • Collaborative Insights: Enable collaboration between analysts and decision-makers through programming and self-service analytics combined. Hand off data analysis between teams, then publish and share insights with others via direct linking, password-protected links, email or Slack.
  • Self-Service BI: Pinpoint important data points in minutes, with reusable formulas and ad hoc analysis modeling that query data and return answers in real time.
  • R, Python and SQL On One Platform: Develop more advanced analytics processes with any programming language, with support for SQL, Python and R all in the same environment. Integrate open-source programming and formulas from other packages or libraries.
  • Scalability: Incorporate more complex datasets, higher volumes of data, more users and more, as the solution grows with the company.
  • Security: Have confidence in data security, with a cloud security infrastructure that upholds industry wide best practices and standards. Encrypt all traffic between users’ web browsers and Sisense’s servers, and for additional user-level security, manage data permissions, TFA and single sign-on functionality.
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  • Faster Decisions: Enables faster and better data-driven decision making with a dashboarding tool that shows meaningful KPIs first.
  • Ease of Use: Quickly upload and analyze data with dashboards with a simple architecture on the back-end — no coding required.
  • Simplified Data Sets: Create a range of data visualizations from a single data source, or a single visualization from a range of data sources. Pull raw data directly into the dashboard, removing complicated organization and exploration steps.
  • Integration with BI Tools: Make analytics reporting and visualization easier by integrating with traditional enterprise BI tools like Tableau, Domo, Qlik, Looker and Microsoft Power BI to enhance the data they hold.
  • Holistic BI: Get a more comprehensive view of business metrics across data sources and brand performance on social media, all collected and displayed in one place through data connectivity and data merging.
  • Data Visibility: Gain visibility into business data and understand where the business is at via real-time dashboards and reports.
  • Analytics On-the-Go: Retrieve data from the cloud-based architecture any time, anywhere with an internet connection, unlike on-premise solutions. Access the platform via a native app for both iOS and Android mobile devices as well as via web browsers.
  • Boost Collaboration: Align all stakeholders and employees with organizational goals by collaborating and sharing data with others internally and externally, whether in real time or periodically.
  • Scalability: Pay only for the required level of functionality and upgrade, downgrade or cancel the plan at any time. Add additional dashboards to any plan at a flat rate or consult the support team for a custom solution that can support hundreds to thousands of dashboards at once.
  • Free Trial: Test it firsthand through a free 14-day trial.
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  • Native Data Connectors: Blend data together into a single accessible database via an ecosystem of native data connectors and ETL partners.
  • Cloud Data Pipelines: Control when and how often data is refreshed and what the flow of information looks like. Gain visibility and control over data pipelines with a flexible, low maintenance solution.
  • Data Discovery: Directly access CSVs and data sets curated by analysts and interact with these insights through a drag-and-drop interface that does not require fluency in SQL. 
  • Git Integration: Grant developers complete control over their analytics environment through Git integration, sophisticated version control, release management workflows as well as file-level access to all user-generated content, like reports. Create, edit, sync and delete all settings through Git. 
  • Model-as-You-Go: Perform ad-hoc analysis to answer crucial questions at the click of a button by generating custom, on-the-fly data models.
  • Data Visualization: Create and share advanced, highly customizable data visualizations, including scatter plots, bar charts, bubble charts, bullet charts, funnel charts, waterfall charts, control charts, Gantt charts, radial bar charts and more.
  • SQL Editor Tools: Shorten the amount of time necessary to go from query to answer with powerful SQL writing tools, such as query revision history, views, filters, autocomplete suggestions, formatting and more. 
  • Learn SQL: Experiment with SQL programming language and data querying via drag-and-drop fields and see how the results change. Encourage users who aren’t fluent in SQL to become more familiar with it.
  • Code Library: Reduce repetitive data entry tasks and save time for subsequent report generation. Store frequently used code in a common library via Snippets for easy access later. 
  • Spaces: Manage data-level permissions to gate and restrict access to sensitive data and customize dashboards on a per-organization basis.
  • Share and Embed: Share dashboards via password-protection enabled public URLs or embedding inside other web applications or web portals. Download dashboards as static PDF images for uses such as email distribution.
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  • Data Connectivity: Retrieve data from thousands of different data sources with hundreds of built-in data connectors that include many of the most commonly sought-after data points. Connect to even more types of data with custom queries made through open web services. Or, pull data from SQL databases by uploading files the old-fashioned way and establishing FTP server connections.
  • Insight into Social Media: Blend social media data with other proprietary business data to interpret and present brand performance on social platforms such as LinkedIn, Twitter, Facebook and more.
  • Automated Data Retrieval: Automate data retrieval for visualizations from a range of data sources that automatically update on detecting a change in users’ data. Refreshes every 30 minutes by default, but can refresh at a faster rate on certain subscription plans.
  • Data Merging: Mash up information from disparate data sources to create insights that track desired KPIs with a more holistic view of business performance.
  • Data History With PowerMetrics: Leverage PowerMetrics to track and store multi-dimensional data points for metrics and provide continuous insights into current and historical information even for data services that don’t offer history, i.e. social media feeds. Explore historical trends by comparing time periods.
  • Data Visualizations: Maximize a dashboard’s visual impact by choosing from 15 different types of customizable visualizations.
  • Self-Service Interactivity: Deep-dive into dashboards by filtering and segmenting data by specific dimensions or adjusting date ranges. Gain context from insights with automatic trend lines and applied actions like grouping, filtering, aggregating and sorting.
  • Pre-built and Customizable Dashboards: Easily create dashboards by choosing a pre-built dashboard from a range of template options or create an entirely customized one.
  • Targets and Indicators: Keep track when metrics fall below or reach conditional pre-set thresholds with notifications and indicators that alert of both trends and potential issues or successes.
  • Sharing: Share access to dashboards and visualizations with a single click and download them as images or PDFs for sharing across social media or messaging apps. Set up scheduled reports to be distributed to a specific list of members on a regular basis. Embed dashboards into websites or other applications, display on TVs, or make them public for easy visibility with custom generated URLs.
  • Search Function: Search for data points, visualizations or dashboards using natural query language (NQL) search function, similar to how one would search using Google or other search engines.
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Product Ranking

#16

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#19

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User Sentiment Summary

Great User Sentiment 140 reviews
Excellent User Sentiment 578 reviews
87%
of users recommend this product

Sisense For Cloud Data Teams has a 'great' User Satisfaction Rating of 87% when considering 140 user reviews from 4 recognized software review sites.

93%
of users recommend this product

Klipfolio has a 'excellent' User Satisfaction Rating of 93% when considering 578 user reviews from 5 recognized software review sites.

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4.7 (28)
4.5 (72)
4.6 (165)
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4.73 (169)
4.3 (33)
4.7 (164)
4.8 (4)
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4.1 (31)
4.6 (52)

Awards

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Klipfolio stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

Synopsis of User Ratings and Reviews

Data Querying: Almost 77% of users who mentioned data querying and data modeling said that this solution allows them to perform data queries of almost any kind.
Data Visualization: Of the users who mentioned data visualization, about 75% said that this tool excels at creating easily understandable graphics and visuals.
Sharing and Collaboration: Approximately 88% of users who mentioned this feature said that this solution facilitates strong collaboration on data analysis internally, while allowing for easy external sharing.
Implementation: In reference to setting up the platform, about 90% of users said that the process was smooth and quick.
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Data Management: Approximately 94% of users who mentioned data preparation said that the platform helps create focused data models to power insightful and dynamic project dashboards.
Data Source Connectivity: Around 81% of users who mentioned its integration capabilities said that the tailored integration options of the platform are complemented by easy-to-use APIs and SQL queries to pull data from disparate data sources.
Functionality: Approximately 79% of users who reviewed its functionality said that the platform has a multitude of features for self-service data analysis to efficiently acquire valuable business insights.
Service and Support: Around 96% of users who reviewed support services said that they were very responsive and helpful, with fast turnaround times.
Cost: The free trial period is a big plus, and the solution gives value for money, approximately 81% of users who reviewed the tool’s cost said.
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Reliance on SQL: While it excels in data querying, around 78% of users said that SQL knowledge is necessary to use this platform.
Self-Service Analytics: About 80% of users reviewing this feature said that data analysis is not truly self-service, requiring the involvement of a hands-on IT or analyst team.
Cost: Of the users who reviewed the cost of this tool, almost 86% of them found it too expensive, especially for smaller companies.
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Speed: All users who reviewed its speed say that the platform is slow to load, with noticeable latency in data refresh.
Steep Learning Curve: Approximately 78% of users who reviewed training say that there is a steep learning curve to the platform, especially for formulas and functions.
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Sisense for Cloud Data Teams is a powerful BI tool that excels in the hands of data analysts with coding knowledge. These analysts will be able to model, manage, prepare, manipulate and analyze data with ease. As the platform supports SQL, Python and R programming languages, the sky's the limit when it comes to extensibility, development and coding support. The platform allows for strong collaboration within an organization, designed to alleviate the time-consuming burden of reporting and data visualization on IT teams while allowing business users to access insights on their own time. Most of the features are built around making the analytics team’s job easier, with reusable code, built-in collaboration and more. The support team earned universal praise from users who contacted them, citing their swift, in-depth and informative answers as immensely helpful in resolving any issues they had with the solution. In addition to hands-on support, a speedy implementation process ensures that customers can get the platform up and running in no time. We found that users’ opinions of the platform’s functionality and ease of use differed significantly based on their own roles; analysts generally praised its robust data visualization and data querying features, while decision-makers often found it hard to use, due to the SQL language barrier. SQL is necessary for most functions, and even though there is a visual query editor that attempts to make SQL more accessible, some users said that the platform doesn’t do enough in this regard. Overall, users did agree that the tool makes it easy to collaborate with each other to bridge that gap, with most of the analytics being done on the technical end, letting business users simply access those results. Still, it’s difficult to accurately call Sisense for Cloud Data Teams a self-service analytics tool, as it requires an IT or analyst team’s involvement to truly shine. Additionally, the cost can be prohibitive to smaller businesses. Overall, Sisense for Cloud Data Teams can be extremely powerful in the right hands - for those who know SQL and how to use it, it’s a dream for querying data and delivering analytics, but for those who don’t have the necessary IT resources, it could prove difficult to fully maximize the value of this data solution.

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Klipfolio is a business intelligence tool that empowers users to visualize, analyze and share business data to track product trends. With powerful data querying capabilities via SQL and APIs, the solution integrates well with a multitude of applications. Users leverage its rich visualization libraries and strong data modeling capabilities to create impactful data dashboards, though some users said that the platform was sometimes buggy and had a limited scope in managing complex KPIs. With its vast range of features, users create and share reports on data that matters via URLs, PDFs, scheduled emails and snapshots to power decision-making processes. Approximately 96% of users who mentioned the platform’s support services said that the team was helpful and responsive. Most of the users who mentioned pricing said that the solution was affordable for organizations of all sizes and provided value for money. The solution does have some limitations though. All users who reviewed it for speed said that the platform slowed down, especially when applying filters, large file uploads and data refresh. Of users who reviewed its data integration capabilities, some said that the data source limit of 10 MB that comes with certain pricing plans can be limiting, especially when working with larger Excel and CSV files. Of users who mentioned cost, a few said that the additional fee for the periodic data refresh feature was a burden, though the introductory free trial offer could be quite attractive for new users. In summary, Klipfolio is a web and cloud-based BI solution that offers a range of data integration, KPI monitoring and dashboarding capabilities to empower data-driven decision-making across organizations.

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