RapidMiner vs Pyramid Analytics

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Our analysts compared RapidMiner vs Pyramid Analytics 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.

Pyramid Analytics 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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Pyramid Analytics offers an enterprise-grade operating system that scales smoothly from single-user to organization-wide implementation. It’s OS agnostic and can be deployed in the cloud or on-premise.

It promotes data literacy by allowing different levels of users to utilize different capabilities. It is designed to support an organization’s decision workflow end-to-end from self-service analytics to forecasting.
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$10 Annual, free, quote-based
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Tailored to your specific needs
$10 Free, monthly, quote-based
Get a free price quote
Tailored to your specific needs
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Windows
Mac
Linux
Android
Chromebook
Windows
Mac
Linux
Android
Chromebook
Cloud
On-Premise
Mobile
Cloud
On-Premise
Mobile

Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
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Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support
Email
Phone
Chat
FAQ
Forum
Knowledge Base
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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  • Support Strategy: Execute analytics strategies with smooth implementation, management and support. Reduces silos by making data available to the entire organization.
  • Perform Self-Service Analytics: Maximizes value and streamlines operational investments through the delivery of faster, better insights. Self-service and a transparent user experience promote data literacy.
  • Create Compelling Visualizations: Clearly communicate insights through intuitive, dynamic graphics, including charts, graphs, tables and interactive visualizations.
  • Identify and Address Business Problems: Recognizes data trends and identifies problem areas while providing suggestions for rectifying them.
  • Make Data-Driven Business Decisions: Create models to understand operational data and forecast how changes will affect the business to make more informed decisions.
  • Perform One-Click Analytics: Draw data from both traditional and big data sources through machine learning analytics to make data processing simple. Augmented guidance features help guide users to answer key business questions.
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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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  • Advanced Analytics: Run advanced queries on large datasets and perform analysis on business questions.
  • Machine Learning Models: Create data models that adapt as the software learns to “anticipate” future needs and queries.
  • Drag-and-Drop: The Business User ETL offers a drag-and-drop interface that makes cleaning and preparing data for analysis easy.
  • Ad-Hoc Reporting: Create spur-of-the-moment reports to answer specific business questions rather than formulating on a recurring schedule.
  • Graphical Data Representation: A variety of graphical visualization options to depict datasets in the most aesthetically pleasing and intuitive way. Some of these include bar graphs, pie charts, scattergrams and more.
  • Content Sharing: The publish module can create pixel-perfect reports and embed them into a range of export formats, including emails and HTML.
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Product Ranking

#83

among all
Business Intelligence Tools

#29

among all
Business Intelligence Tools

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User Sentiment Summary

Excellent User Sentiment 1039 reviews
Great User Sentiment 144 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.

89%
of users recommend this product

Pyramid Analytics has a 'great' User Satisfaction Rating of 89% when considering 144 user reviews from 3 recognized software review sites.

4.6 (492)
3.9 (9)
4.41 (22)
n/a
4.5 (22)
4.1 (7)
4.6 (455)
4.5 (128)
3.6 (48)
n/a

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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Support: All users who mentioned support say that support teams were quick to reply and help out.
Performance: The platform can quickly make insights available to businesses, as reported by all reviewers who specified performance.
Ease of use: The system is easy to implement, deploy and integrate, according to about 83% of users who talked about ease of use.
Connectivity: About 75% of users who spoke about connectivity mentioned the solution’s ability to integrate and work with data from multiple sources.
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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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Steep Learning Curve: Pyramid Analytics has a huge learning curve, according to approximately 58% of users who referred to the learning curve.
Data Visualization: 60% of users who mentioned visualization say that dashboards were aesthetically unpleasant.
Functionality: Of users who talked about functionality, around 69% say that the system has stability issues.
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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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Pyramid Analytics is a flexible, scalable BI platform with machine learning capabilities. It lets users mash up data from multiple sources, model data within the application and run reports in mere minutes, as opposed to manual processes that would take hours.Its numerous features have the ability to carry out complex data analysis. Users found customer support to be helpful when demonstrating the tool’s full potential. Users also liked the ability to incorporate AI into their dashboards. However, Some users found navigating through dashboards to be difficult. Users also complained that dashboard features could be more effective. New features were sometimes unstable, introducing bugs to existing functionality. Conclusively, it is a cost-effective, intuitive solution with excellent support that can quickly deliver insights to all levels of a businesses.

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