RapidMiner Reviews & Pricing

by RapidMiner | Founded 2007, Boston, MA

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Overview Pricing Benefits Reviews Features

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What is RapidMiner?

Industry Specialties: Serves all industries

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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User Sentiment

Based on 1039 reviews:

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RapidMiner Pricing

Based on our most recent analysis, RapidMiner pricing starts at $10 (Annual, Free, Quote-based).

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Starting From: $10
Pricing Model: Annual, Free, Quote-based
Free Trial: Yes, Request for Free

Training Resources

RapidMiner is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for RapidMiner:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

RapidMiner Benefits and Insights

Why use RapidMiner?

Key differentiators & advantages of RapidMiner

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.

Industry Expertise

RapidMiner came to market in 2007, and has built a commercial and open-source user base more than 475,000 strong since. It has clients in all industries, including manufacturing, travel, health care and e-commerce.

RapidMiner Reviews

Based on our most recent analysis, RapidMiner reviews indicate a 'excellent' User Satisfaction Rating of 91% based on 1039 user reviews from 5 recognized software review sites.

1039 reviews

91%

of users would recommend this product

Synopsis of User Ratings and Reviews

Based on an aggregate of RapidMiner reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

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.

Cons

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.

Researcher's Summary:

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.

Key Features

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.

Limitations

Some of the product limitations include:

It offers only annual and pay-as-you-go billing, with no monthly option
Studio does not offer native support for geo-spatial data analysis
It is resource-hungry and slows down when processing complex data sets

Suite Support

Due to its open-source nature, RapidMiner enjoys robust community support, available for free to all users. Access the online community on the vendor’s website for articles, Q&A and discussions contributed by technical support personnel, users and partners.

Subscribe to an Enterprise support package for personalized support with guaranteed response times.

Email: Email support is not available.

Phone: Phone support for technical queries is not available. Call 1 (617) 401-7708 for non-technical queries.

Training: Access the vendor’s documentation website for tutorials and reference materials. Sign up for an online training program that offers self-paced training or live training with an expert, with a certification test.

Tickets: Enterprise subscribers, log in to the vendor’s website to submit a support ticket. The vendor’s technical support team addresses tickets 24/7 with varying response times based on the severity of issues.