RapidMiner vs Jaspersoft

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Our analysts compared RapidMiner vs Jaspersoft 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.

Jaspersoft Software Tool

Product Basics

The RapidMiner platform is a cloud-based series of data intelligence offerings, capable of all layers of a big data ecosystem. It can work with structured and unstructured data alike, preparing, blending, analyzing and visualizing it.

It utilizes a code-free interface for designing big data workflows and integrations, capable of the complete data science life cycle. It can achieve top-level analytics like machine learning and predictive modeling. Its cloud deployment comes in managed or on-demand options. It has open-source and commercial versions.
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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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Product Insights

  • Open-Source or Commercial: Open-source and free versions exist for RapidMiner Studio, the end-to-end workflow integration tool, and Radoop, the Hadoop and Spark integration and execution tool. The open-source Studio tool allows for 10,000 data rows and a logical processor. The vendor continuously updates its open-source options to keep up with modern innovations. 
  • In-Database Analytics: Performs data prep and ETL in-database to increase analytics speed and performance. Reduces the amount of information translated to the memory of the application. 
  • Build Code-Free Workflows: Create end-to-end workflows without a sophisticated knowledge of programming using the platform’s visual designer interface. Complete each stage of the workflow, from connecting to data sources to producing visualizations in a unified drag-and-drop environment. 
  • Advanced Analytics: Tap into the most sophisticated analytics options on the market today, like AI, machine learning and predictive modeling. Get deeper insights and increase business intelligence more by using high-level analytics to make decisions. 
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  • 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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  • Visual Workflow Designer: Create an end-to-end analytic workflow through a drag-and-drop, singular interface that requires little coding. 
  • Data Visualization: It has an internal framework for producing more than 30 interactive data visualizations, with the capability to add more. Explore and drill down into data to digest trends and patterns more easily. 
  • Data Management: Use the Turbo Prep app to streamline data preparation. Ingest, load and store data from more than 40 file types, and scrape data from URLs, NoSQL databases, business applications and cloud storage. 
  • Automatic Modeling and Validation: Deploy data models without coding. Automatically generate models and compare them to similar models to predict the best possible direction for a project to take. 
  • Apache Integration: RapidMiner Radoop is a user-friendly interface for connecting and utilizing Apache Hadoop for distributed analytics and scaling, without having to program in Spark. Increase processing limits and tap into advanced processes like machine learning without leaving the RapidMiner interface. 
  • Data Preparation: Prepare, cleanse, blend and wrangle data through the Turbo Prep interface. Get an in-depth view of the dataset at each step. Make changes in real time, visible in pivot tables. 
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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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Product Ranking

#83

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#27

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User Sentiment Summary

Excellent User Sentiment 1039 reviews
Great User Sentiment 495 reviews
91%
of users recommend this product

RapidMiner has a 'excellent' User Satisfaction Rating of 91% when considering 1039 user reviews from 5 recognized software review sites.

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.

4.6 (492)
4.0 (105)
4.41 (22)
n/a
4.5 (22)
4.3 (27)
4.6 (455)
4.2 (89)
3.6 (48)
4.0 (274)

Awards

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

User Favorite Award

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Synopsis of User Ratings and Reviews

Online Community: Around 95% of the users who reviewed support said that the online communities are helpful, proactive and knowledgeable.
Ease of Use: Citing its great layout and design, approximately 93% of users said that the interface offers a no-programming, user-friendly experience.
Training: Around 78% of the users who reviewed training resources said that a plethora of tutorials, videos and guides are readily available online.
Data Management: According to 77% of the users who discussed data management, the platform has built-in functions for fast and intuitive data cleaning and data preparation.
Data Analysis: Around 70% of the users who reviewed analytics said that the platform has powerful machine learning capabilities with a multitude of built-in algorithms for advanced predictive analysis.
Functionality: Mentioning a wide range of add-ons and toolboxes, approximately 55% users said that the solution is versatile, with regular updates and powerful data processing capabilities.
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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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Performance and Speed: Around 88% of the users who reviewed its performance said that the platform is resource-hungry and slows down when processing complex datasets.
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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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Rapidminer is an end-to-end data science platform that performs a wide range of functions, from data prep to machine learning to predictive modeling. According to most of the users who reviewed the tool’s support, online communities are responsive in answering queries and helping resolve issues. Many of the users who discussed the interface said that, with an intuitive layout and great design, the UI offers easy drag-and-drop functionality for rapid prototyping - no programming experience needed. A majority of the users who mentioned online resources said that crisp and informative tutorials and videos are readily available online, and that the vendor’s website offers up-to-date information on the tool. According to many users who discussed data management, the platform works well for clustering, fast cleaning and data preparation with its built-in functions and algorithms. Many of the users who reviewed its analytic capabilities said that the solution uses machine learning for data exploration and visualization to derive insights from almost any source of data, though some users said that more statistical models are needed. With new functionalities being introduced from time to time, many users said that the platform stays versatile and has powerful data processing capabilities. On the flip side, many users who reviewed speed and performance said that the platform is resource-intensive and slows down when running complex data models. Reviewing adoption, some users said that there is an initial learning curve and tutorials should be built within the tool for prompt troubleshooting. Quite a few users who reviewed the tool’s data prep capabilities said that better ETL features are needed, especially for plots and graphs, and extensive dataset modeling may require higher computing power that can slow down the platform. In summary, RapidMiner, with its rich libraries, functions and algorithms, helps in AI-driven data exploration and mining for self-service data model development to drive advanced predictive analytics for enterprises.

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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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