Compare Cloudera Data Science Workbench vs. IBM Watson Studio
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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  | |
Views 4,045 Comparisons 3,622 Reviews 1 Average Words per Review 302 Rating 8.0 | Views 5,356 Comparisons 4,275 Reviews 5 Average Words per Review 468 Rating 8.2 |
Popular Comparisons | |
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Also Known As | |
| CDSW | Watson Studio, IBM Data Science Experience, Data Science Experience, DSx |
Learn | |
| 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 Union | GroupM, Accenture, Fifth Third Bank |
Top Industries | |
Computer Software Company32% Comms Service Provider16% Financial Services Firm9% Media Company7% | Computer Software Company26% Comms Service Provider22% Retailer7% Financial Services Firm6% |
Company Size | |
No Data Available | 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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