Compare Cloudera Data Science Workbench vs. IBM Watson Studio

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Most Helpful Review
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Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2021.
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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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"The solution is very easy to use.""The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video.""The scalability of IBM Watson Studio is great.""The system's ability to take a look at data, segment it and then use that data very differently.""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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"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier.""So a better user interface could be very helpful""The decision making in their decision making feature is less good than other options.""It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs.""Some of the solutions are really good solutions but they can be a little too costly for many.""The initial setup was complex."

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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: 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: The initial setup was complex.
Ranking
18th
Views
4,045
Comparisons
3,622
Reviews
1
Average Words per Review
302
Rating
8.0
10th
Views
5,356
Comparisons
4,275
Reviews
5
Average Words per Review
468
Rating
8.2
Popular Comparisons
Also Known As
CDSWWatson Studio, IBM Data Science Experience, Data Science Experience, DSx
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Cloudera
IBM
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 UnionGroupM, Accenture, Fifth Third Bank
Top Industries
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider16%
Financial Services Firm9%
Media Company7%
VISITORS READING REVIEWS
Computer Software Company26%
Comms Service Provider22%
Retailer7%
Financial Services Firm6%
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 2021.
455,301 professionals have used our research since 2012.

Cloudera Data Science Workbench is ranked 18th in Data Science Platforms with 1 review while IBM Watson Studio is ranked 10th in Data Science Platforms with 6 reviews. Cloudera Data Science Workbench is rated 8.0, while IBM Watson Studio is rated 8.2. 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 "Machine learning that can be applicable for other data sets without having to carry out the process all over again". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker, Anaconda, Alteryx and RapidMiner, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Amazon SageMaker, Dataiku Data Science Studio and MathWorks Matlab.

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