Jaspersoft vs Infor Birst

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Our analysts compared Jaspersoft vs Infor Birst based on data from our 400+ point analysis of Embedded Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Jaspersoft Software Tool
Infor Birst Software Tool

Product Basics

Jaspersoft is a reporting and data analytics suite built around the JasperReports engine that helps businesses create seamlessly embeddable, pixel-perfect reports, dashboards and visualizations. It empowers businesses with the self-service capabilities to find answers to data questions through beautifully rendered visuals that are easy to understand and explain. Bridging the gap between insight and action, it promotes ownership of the decision-making process across organizations.

It includes JasperReports Library, JasperReports Server and JasperReports Studio. The vendor also offers a cloud and microservice-embeddable reporting engine, JasperReports IO.
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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.
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$233 Monthly, quote-based
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$2,500 Monthly, Quote-based
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Product Insights

  • Built for Embedding: This system isn’t just modified to embed — it is designed to integrate on both the front and back ends of any host application. Its API-first approach grants direct access to a range of functionality from within other solutions.
  • Self-service BI: Improves data literacy across the organization through self-service analytics. Create reports and visualizations with an easy drag-and-drop report builder.
  • Flexible Architecture: Leverage its data-agnostic architecture to draw from heterogeneous data, access any database management system and work within a variety of systems. Deploy on-premises, in the cloud or even to containerized or microservices-based architectures.
  • Intuitive Design: Develop pixel-perfect reports with a custom module that integrates into the host application. Offers a wide variety of out-of-the-box reports as well as custom visualizations to address business needs.
  • Collaborate Across Departments: Export reports in a variety of formats to share via email, save to a shared repository to allow others to view or publish them to a website or host application.
  • Identify Data Trends: Discover patterns and trends in business data and unearth otherwise unseen trends through different data visualization types. Drill down into information to find out more.
  • Delivers Business Insights: Make more informed business decisions and plan for the business’ future based on historical trends and forecasts. Drill down, slice and dice, pivot and filter to quickly perform advanced analytics on business-critical data.
  • Secure Integrations: Maintains integrity of sensitive business data across connected applications. Enables seamless external authentication and authorization when integrating with other applications.
  • Developer-focused: Modify its open source code to deploy custom features to suit business needs. Develop and integrate applications with the support of multi-tenancy, flexible APIs and the online community.
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  • Scalability on Demand: Prevents data bottlenecks caused by data loads that exceed capacity as business grows by scaling as needed through a multi-tenant architecture across a multi-node environment.
  • Faster Results: Delivers faster analytics across the entire organization by utilizing automated data analysis technology, cloud architecture and reusable metadata.
  • Data Clarity: Promote data clarity and reduce ambiguity by offering unique views into data to help everyone, regardless of technical expertise. Better understand the meaning of individual KPIs via the semantic layer, a set of shared business definitions.
  • Self-Service: Gives employees at all levels of technical skill self-service tools, such as drag-and-drop, to explore, analyze and visualize data through the user-oriented UX.
  • Informed Decisions: Make more data-driven business decisions by better understanding operations. Identify trends in business data by collecting, organizing, exploring and visualizing data.
  • Predict Future Outcomes: Generate actionable insights by leveraging AI to analyze historical data and improve business moving forward.
  • Intuitive Visualizations: Easily interpret trends by cleaning data and building understandable visualizations through machine learning.
  • Networked BI: Builds collective intelligence. Combines IT-managed enterprise data with user-generated data and eliminates data silos, unifying data from every part of an organization.
  • Certified Security: Secures data at every degree of detail, down to the row and column level. Employs strict data security protocols and procedures to protect data in  processes and data centers, which are certified for ISO27001 and SOC II, TYPE II standards and compliant with EU Safe Harbor laws.
  • Free Trial: Try it hands-on via a free trial.
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  • Flexible Architecture: Deploy on-premises, in the cloud or within a container. Simplify mobile and web-integration with a RESTful web service architecture. Manage the whole BI deployment from a single, central hub.  
  • Reporting: Drag and drop to create on-the-spot interactive reports for dashboarding and sharing. Schedule and distribute reports via email, either on a one-off or recurring basis. 
  • Branding: Customize the interface — logos, font colors and styles, spacing and graphic elements — to match the brand through theming and white labeling. 
  • Security: A repository connects to existing identity management systems to centralize and secure report views. Track report access and usage for compliance. Granular permissions allow for security down to the cell and column level. 
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  • Automated Data Refinement: Automatically merge data from different sources into one user-ready data storage and optimize it for analysis. 
  • Semantic Layer: Boosts trustworthiness of data and reduces data anarchy by adding an agile semantic layer between the user and data. Work with data privately while staying connected to the network via a virtual tenant space.">
  • Real-time Access: Directly query on-premise data sources in real-time, eliminating the need to first extract and then upload data to the cloud.
  • Adaptive UX: Create reports and dashboards without coding knowledge via intuitive drag-and-drop tools. Supports different analytic styles, such as visual discovery, and mobile, and third-party tools such as Excel, R and Tableau. 
  • Reusable Rules: Automatically generates a common architecture based on a reusable set of business definitions without manual intervention.
  • Interactive Dashboards: Explore data even further via interactive dashboards that have drill-down capabilities such as lasso filters.
  • Multi-Tenant Cloud Architecture: Scales vertically and horizontally with a multi-tenant architecture built on a multi-node environment. Speeds insight generation by reducing the overall time spent on repetitive on-premise tasks. 
  • One-Click Data Connectivity: Access existing data with one click via its extensive library of pre-built connectors.
  • Embedded Analytics: Scale with clients’ businesses via flexible deployment options including embedding, APIs and localization capabilities.
  • Machine Learning: Recognizes patterns in data via Smart Analytics and automatically builds visualizations based on predictive analytics. Learns over time, and remembers previous search queries, past visualizations and more.
  • Deployment Options: Deploy as a SaaS through the cloud or go hybrid, keeping data in-house but running analytics through cloud-based servers. Or, deploy through a virtual appliance that delivers all the benefits of a traditional cloud-hosted SaaS while being locally hosted on-premise or in a private-cloud.
  • Mobile App: Access reports and dashboards via its native mobile application for iOS and Android.
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Product Ranking

#13

among all
Embedded Analytics Tools

#12

among all
Embedded Analytics Tools

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Analyst Rating Summary

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Security
Embeddability
Embedded Reporting
Embedded Reporting
Security
Mobile Capabilities
Data Management
Embedded Analytics

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Jaspersoft
Infor Birst
+ Add Product + Add Product
Data Management Embeddability Embedded Analytics Embedded Data Visualization Embedded Reporting Mobile Capabilities Platform Capabilities 78 89 73 82 85 69 80 85 79 85 83 97 92 80 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 495 reviews
Great User Sentiment 560 reviews
81%
of users recommend this product

Jaspersoft has a 'great' User Satisfaction Rating of 81% when considering 495 user reviews from 4 recognized software review sites.

82%
of users recommend this product

Infor Birst has a 'great' User Satisfaction Rating of 82% when considering 560 user reviews from 6 recognized software review sites.

n/a
4.3 (7)
4.0 (105)
3.9 (92)
n/a
4.08 (49)
4.3 (27)
4.1 (50)
4.2 (89)
4.1 (176)
4.0 (274)
4.2 (186)

Synopsis of User Ratings and Reviews

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.
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Data Integration: About 80% of users who mentioned its data integration capabilities said that the platform, powered by built-in connectivity tools, connected well to many types of data sources.
Data Visualization: Approximately 81% of users who reviewed visualization said that the tool provided attractive and intuitive data presentation options for at-a-glance data analysis and trend charting.
Ease of Use: The platform was user-friendly and intuitive, according to around 77% of users who reviewed the interface.
Functionality: Approximately 68% of users who reviewed functionality said that the platform provided strong capabilities to streamline preparation and consumption of data for developers and end users alike.
Data Management: Automated data warehouse creation made data modeling a breeze, around 65% of users who reviewed the platform’s data management system said.
Setup: Around 69% of users who mentioned implementation said that the solution being cloud-based, coupled with excellent onboarding support from the vendor, made deployment easy.
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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.
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Performance: Approximately 87% of users who reviewed the platform’s performance said that it was slow and inconsistent in data processing and data refresh.
Learning Curve: About 81% of users who mentioned the learning curve said that documentation was often insufficient and incorrect, and that the platform’s use of proprietary language made the learning curve quite steep.
Service and Support: About 46% of users who reviewed this feature said that support was poor and turnaround times were painfully long, extending up to several months.
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Jaspersoft 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, Jaspersoft 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.

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Infor Birst is an integrated cloud-based end-to-end solution for sourcing raw data, and extracting, warehousing and reporting for enterprise data analysis. With built-in tools for data integration and strong embedded analytics capabilities, users leverage its data visualization capabilities to create and share metric-specific dashboards and reports. Users who reviewed data management said that automated data warehouse creation was a strong feature of the platform, as well as its user-friendly interface. Many users who reviewed its functionality said that, equipped with a powerful ETL and efficient ODBC drivers for integration, the platform was flexible and scalable with a multitude of features for data discovery and analysis. Around 69% of users who reviewed ease of implementation said that deployment was easy with the integrated cloud platform, though some users said that the setup processes were unclear and they required in-house IT support for onboarding. On the flip side, users who mentioned performance said that the speed of data processing and data refresh was slow and this impacted report generation capabilities. Documentation was inconsistent and often incorrect, and the use of proprietary query language made the learning curve quite steep, many users who reviewed this feature said. Support turnaround times were woefully long, even extending up to several months as reported by a number of users. Some users who reviewed functionality said that the code was buggy and the platform stalled often when processing data for ad-hoc reporting. Many users complained that these bugs were not addressed for years, and new releases often impacted pre-existing features. Possibly because of its performance issues with large amounts of data, quite a few users rate it as a good BI tool for small and midsize companies that require less complex data analysis, rather than larger enterprises. In summary, Infor Birst is a BI ecosystem with a networked approach to data visualization and predictive analytics that eliminates data silos and serves as a single source of truth for enterprise data.

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