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IBM Watson Studio vs RapidMiner comparison

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5,323 views|4,290 comparisons
RapidMiner Logo
7,086 views|5,593 comparisons
Featured Review
Buyer's Guide
Data Science Platforms
June 2022
Find out what your peers are saying about Databricks, Alteryx, Knime and others in Data Science Platforms. Updated: June 2022.
610,812 professionals have used our research since 2012.
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610,812 professionals have used our research since 2012.
Questions from the Community
Top Answer:We are looking to automate (parts of) our budgeting and financial forecasting cycle
Top Answer:It has a lot of data connectors, which is extremely helpful.
Top Answer:It will come down again to cost. Some of the solutions are really good solutions but they can be a little too costly for many. I think a lot of software vendors have considered having special pricing… 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
13th
Views
5,323
Comparisons
4,290
Reviews
0
Average Words per Review
0
Rating
N/A
6th
Views
7,086
Comparisons
5,593
Reviews
5
Average Words per Review
637
Rating
9.0
Comparisons
Also Known As
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
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Overview

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

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 IBM Watson Studio
Learn more about RapidMiner
Sample Customers
GroupM, Accenture, Fifth Third Bank
PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Top Industries
VISITORS READING REVIEWS
Comms Service Provider21%
Computer Software Company20%
Financial Services Firm9%
Educational Organization8%
REVIEWERS
University38%
Energy/Utilities Company13%
Educational Organization13%
Engineering Company13%
VISITORS READING REVIEWS
Comms Service Provider21%
Computer Software Company18%
Government8%
Educational Organization8%
Company Size
REVIEWERS
Small Business78%
Large Enterprise22%
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise16%
Large Enterprise65%
REVIEWERS
Small Business53%
Midsize Enterprise20%
Large Enterprise27%
VISITORS READING REVIEWS
Small Business19%
Midsize Enterprise19%
Large Enterprise62%
Buyer's Guide
Data Science Platforms
June 2022
Find out what your peers are saying about Databricks, Alteryx, Knime and others in Data Science Platforms. Updated: June 2022.
610,812 professionals have used our research since 2012.

IBM Watson Studio is ranked 13th in Data Science Platforms while RapidMiner is ranked 6th in Data Science Platforms with 5 reviews. IBM Watson Studio 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". IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Amazon SageMaker, Databricks and Google Cloud Datalab, whereas RapidMiner is most compared with KNIME, Alteryx, Microsoft Azure Machine Learning Studio, Tableau and Knowage.

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