We performed a comparison between Cloudera Data Science Workbench and IBM Watson Studio based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."I appreciate CDSW's ability to logically segregate environments, such as data, DR, and production, ensuring they don't interfere with each other. The deployment of machine learning is fast and easy to manage. Its API calls are also fast."
"The Cloudera Data Science Workbench is customizable and easy to use."
"The system's ability to take a look at data, segment it and then use that data very differently."
"It is a very stable and reliable solution."
"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."
"The scalability of IBM Watson Studio is great."
"Stability-wise, it is a great tool."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"It is a stable, reliable product."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"The tool's MLOps is not good. It's pricing also needs to improve."
"Running this solution requires a minimum of 12GB to 16GB of RAM."
"We would like to see it more web-based with more functionality."
"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."
"The main challenge lies in visibility and ease of use."
"I think maybe the support is an area where it lacks."
"I want IBM's technical support team to provide more specific answers to queries."
"We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"Some of the solutions are really good solutions but they can be a little too costly for many."
More Cloudera Data Science Workbench Pricing and Cost Advice →
Cloudera Data Science Workbench is ranked 18th in Data Science Platforms with 2 reviews while IBM Watson Studio is ranked 10th in Data Science Platforms with 13 reviews. Cloudera Data Science Workbench is rated 7.0, while IBM Watson Studio is rated 8.2. The top reviewer of Cloudera Data Science Workbench writes "Useful for data science modeling but improvement is needed in MLOps and pricing ". On the other hand, the top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and KNIME, whereas IBM Watson Studio is most compared with Databricks, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and IBM SPSS Modeler.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
