RapidMiner vs Panintelligence

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Our analysts compared RapidMiner vs Panintelligence 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.

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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Panintelligence is a self-service, easy-to-use solution for company-wide reporting. It can display multiple data sources side by side, and the data shown is always live and up-to-date.

It is easy to implement, cloud-based and offers multi-tenancy, load balancing, data mining and predictive analytics. Dashboards make it easy for anyone to visualize and communicate complex data in real time. It’s embeddable, highly customizable and reporting is streamlined. User activity can be restricted and audited, with role-based security.
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$10 Annual, free, quote-based
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$250 Monthly
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Tailored to your specific needs
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Product Assistance

Documentation
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Live Online
Videos
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Videos
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Email
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FAQ
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Knowledge Base
24/7 Live Support
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24/7 Live Support

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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  • Embeddability: Embed dashboards, charts and reports directly into any application, with real-time updates, improving data insights and access to information without moving data from live transactional systems.  
  • Combine Data: Connect and combine data with prebuilt data connectors from numerous sources, structured or unstructured, large or complex, to get better data insights.  
  • Quick and Easy to Deploy: Reduce development time by integrating seamlessly across different platforms quickly; no coding knowledge required.  
  • Bird's Eye View: Pulls data from multiple disparate data sources to create a centralized repository of data and uses AI analytics to make insights accessible, over the internet or locally, to receive a holistic view of data.  
  • Impressive Visualizations: Visualize data for easier discovery and insights with visually accessible charts and graph formats.  
  • Insights On-the-Go: Dashboards and reports are accessible anywhere, on any device, ensuring access and interaction with data insights on the move. 
  • Insights Into Foresights: Uses existing data to anticipate future trends and scenarios with predictive analytics, allowing businesses to tailor their strategies and budgets.  
  • Removes Technical Barriers: Intuitive and easy to use, even techniques such as data mining and data modeling can be used by the most non-tech-savvy.  
  • Scalability: A scalable pricing module means lower starting rates to minimize risk, adapt and grow with businesses.  
  • Security: Provides role-based access to data, keeping data securely stored at the source and meeting new GDPR and PCI regulations.  
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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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  • Data Connectors: Bring multiple data sources together, either online or on-premises, using a wide range of data connectors such as Sage 200, Sage 50, Xero and Salesforce. 
  • Predictive Analytics: Construct predictive models to predict future outcomes of live data. In-app modeling helps understand characteristics and patterns to automate tasks and decisions based on event predictions.  
  • White Labeling: Every single component of the application can be redesigned to look according to the user’s preferences, starting from design to accessibility. 
  • Dashboards: Spot trends and patterns using customizable, interactive, easy-to-use dashboards to visualize big data in a central location. Easily visualize graphs and reports using a range of drag and drop features. Share easily and securely.  
  • Drill Down: Dig deeper into more specific layers of data to discover and extract deeper insights. Get a granular overview of data with just a click. 
  • Reporting: Create customized, detailed reports by pulling key elements visualized in dashboards. Get real-time insights using automatic scheduling and modify personalized reports for specific recipients.  
  • KPI Monitoring: Monitors KPIs using predetermined triggers or machine learning, identifying key changes and patterns to inform relevant users.  
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Product Ranking

#83

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Business Intelligence Tools

#404

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Business Intelligence Tools

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User Sentiment Summary

Excellent User Sentiment 1039 reviews
Excellent User Sentiment 42 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.

93%
of users recommend this product

Panintelligence has a 'excellent' User Satisfaction Rating of 93% when considering 42 user reviews from 2 recognized software review sites.

4.6 (492)
4.6 (36)
4.41 (22)
n/a
4.5 (22)
4.8 (6)
4.6 (455)
n/a
3.6 (48)
n/a

Awards

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

User Favorite Award

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

User Favorite Award

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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Support: All users who mentioned support say that support teams were very helpful, friendly and knowledgeable.
Customization: It has numerous robust customization options, as reported by all reviewers who specified customization.
Ease of Use: The system is easy to use, with an intuitive UI, according to about 88% of users who talked about user-friendliness.
Visualization: All users who spoke about visualization said that dashboards look clean and fresh and are easy to navigate.
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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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Functionality: Approximately 71% of users who referred to functionality mentioned the lack of advanced features available.
Mobile BI: All users who reviewed this feature said that the solution lacks a mobile app and has to be used on browsers, which can be limiting.
Cost: The product has restrictions on budgeting, according to all users who mentioned the cost.
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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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Panintelligence is an OS-agnostic, flexible solution with AI capabilities. It lets users combine data from a multitude of sources to create visualizations quickly. The solution empowers the user to customize almost every aspect, ranging from dashboards to themes, reports and access. The interface is powerful but easy to understand. Users had very positive feedback about customer support, mentioning that they were very fast to respond to issues. There were mixed reviews on the learning curve. While some said it was easy to introduce beginners, others noted the necessity to understand data concepts to use the tool. The drill down feature in dashboards is robust, helping users thoroughly visualize data. Users also complained about the lack of advanced features such as NLP and collaboration. However, customer support listens to the users’ needs to keep adding rich functionality to their software.

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