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Cloudera Data Science Workbench vs IBM Watson Studio comparison

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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The Cloudera Data Science Workbench is customizable and easy to use."

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"IBM Watson Studio consistently automates across channels.""It has a lot of data connectors, which is extremely helpful."

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Cons
"Running this solution requires a minimum of 12GB to 16GB of RAM."

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"The initial setup was complex.""Some of the solutions are really good solutions but they can be a little too costly for many."

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Top Answer: 
We are looking to automate (parts of) our budgeting and financial forecasting cycle
Ranking
15th
Views
3,643
Comparisons
3,100
Reviews
1
Average Words per Review
302
Rating
8.0
12th
Views
5,414
Comparisons
4,343
Reviews
2
Average Words per Review
551
Rating
8.5
Comparisons
Also Known As
CDSW
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
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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.

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.

Offer
Learn more about Cloudera Data Science Workbench
Learn more about IBM Watson Studio
Sample Customers
IQVIA, Rush University Medical Center, Western Union
GroupM, Accenture, Fifth Third Bank
Top Industries
VISITORS READING REVIEWS
Computer Software Company25%
Financial Services Firm18%
Comms Service Provider14%
Insurance Company5%
VISITORS READING REVIEWS
Comms Service Provider24%
Computer Software Company21%
Educational Organization8%
Financial Services Firm7%
Company Size
No Data Available
REVIEWERS
Small Business78%
Large Enterprise22%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2022.
564,997 professionals have used our research since 2012.

Cloudera Data Science Workbench is ranked 15th in Data Science Platforms with 1 review while IBM Watson Studio is ranked 12th in Data Science Platforms with 2 reviews. Cloudera Data Science Workbench is rated 8.0, while IBM Watson Studio is rated 8.0. The top reviewer of Cloudera Data Science Workbench writes "Customizable, easy to install, and easy to use". On the other hand, the top reviewer of IBM Watson Studio writes "Integrates consistently across your digital channel when trying to build an end-to-end digital platform". Cloudera Data Science Workbench is most compared with Databricks, Dataiku Data Science Studio, Amazon SageMaker, Anaconda and RapidMiner, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Google Cloud Datalab, Amazon SageMaker and MathWorks Matlab.

See our list of best Data Science Platforms vendors.

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