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Cloudera Data Science Workbench vs RapidMiner comparison

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Buyer's Guide
Data Science Platforms
July 2022
Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: July 2022.
620,987 professionals have used our research since 2012.
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Questions from the Community
Top Answer:The Cloudera Data Science Workbench is customizable and easy to use.
Top Answer:Running this solution requires a minimum of 12GB to 16GB of RAM. In the future, I would like to see a student version of the Data Science Workbench that includes sample datasets that can be used for… more »
Top Answer:I am a professor and this is one of the solutions that I use as a teaching tool for my students. The most recent version can be used by the students while they are working in the labs because our… more »
Top Answer:We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is… more »
Top Answer:RapidMiner isn't cheap. It's a complete solution, but it's costly. The pricing model is quite clear, but it's an expensive solution because it's powerful. When you have a powerful platform, you need… more »
Top Answer:Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there.
Ranking
16th
Views
3,638
Comparisons
3,002
Reviews
0
Average Words per Review
0
Rating
N/A
6th
Views
7,003
Comparisons
5,496
Reviews
5
Average Words per Review
637
Rating
9.0
Comparisons
Also Known As
CDSW
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Overview

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis.

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.

Offer
Learn more about Cloudera Data Science Workbench
Learn more about RapidMiner
Sample Customers
IQVIA, Rush University Medical Center, Western Union
PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Top Industries
VISITORS READING REVIEWS
Computer Software Company21%
Financial Services Firm21%
Comms Service Provider12%
Energy/Utilities Company6%
REVIEWERS
University38%
Energy/Utilities Company13%
Educational Organization13%
Engineering Company13%
VISITORS READING REVIEWS
Comms Service Provider22%
Computer Software Company18%
Educational Organization8%
Government7%
Company Size
VISITORS READING REVIEWS
Small Business10%
Midsize Enterprise14%
Large Enterprise76%
REVIEWERS
Small Business53%
Midsize Enterprise20%
Large Enterprise27%
VISITORS READING REVIEWS
Small Business19%
Midsize Enterprise19%
Large Enterprise62%
Buyer's Guide
Data Science Platforms
July 2022
Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: July 2022.
620,987 professionals have used our research since 2012.

Cloudera Data Science Workbench is ranked 16th in Data Science Platforms while RapidMiner is ranked 6th in Data Science Platforms with 5 reviews. Cloudera Data Science Workbench is rated 0.0, while RapidMiner is rated 9.0. On the other hand, the top reviewer of RapidMiner writes "Extensive features, Turbo Prep, Auto ML, good GUI and good stability". Cloudera Data Science Workbench is most compared with Databricks, Microsoft Azure Machine Learning Studio, Anaconda and Amazon SageMaker, whereas RapidMiner is most compared with KNIME, Alteryx, Microsoft Azure Machine Learning Studio, Tableau and IBM SPSS Modeler.

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