RapidMiner Reviews

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Real User
Senior Community Manager at a tech vendor with 51-200 employees
Jan 16 2018

What do you think of RapidMiner?

Primary Use Case RapidMiner is primarily used to develop and deploy machine learning workflows to real business use cases, e.g. predictive analytics, segmentation, etc... • Improvements to My Organization As a data science consultant, I was able to custom-build a machine learning lead generation (web scraping) tool for a client and have it be operational in 72 hours. • Valuable Features Availability of cutting-edge data science tools and algorithms Ease of code-optional GUI Open Source Java core Easy integration with APIs, Python, R, cloud storage, cloud computing, etc. • Room for Improvement I would like to see wider adoption of the RapidMiner platform by the Open Source community as a viable alternative/companion to Python and R. • Use of Solution More than five...
Real User
President and CEO at a tech services company with 1-10 employees
Mar 19 2018

What is most valuable?

I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries.

How has it helped my organization?

RapidMiner has moved companies toward being more data-driven. Decisions are made based on analysis of data and rapid prototyping, instead of gut feel.

What needs improvement?

The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade.
Find out what your peers are saying about Alteryx vs RapidMiner and others in Predictive Analytics.
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Real User
Director Research and Development at Projects Factory
Jan 15 2018

What do you think of RapidMiner?

Primary Use Case I am testing RapidMiner as I am beginning data science. I will work with RapidMiner and Azure Machine Learning Studio. RapidMiner for Windows is an excellent graphical tool for data science. • Improvements to My Organization I am using RapidMiner to generate insights for predictive maintenance in the Oil and Gas Industry, mainly for the electrical submersible pump system, including surface and down hole assets. • Valuable Features No code is necessary, no R and Python skills.  Using the GUI, I can have models and algorithms drag and drop nodes. • Room for Improvement Improve the online data services. • Use of Solution Trial/evaluations only.

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Find out what your peers are saying about Alteryx vs RapidMiner and others in Predictive Analytics.
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What is RapidMiner?

RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

RapidMiner customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen


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