We performed a comparison between Cloudera Data Science Workbench and IBM Watson Studio based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The Cloudera Data Science Workbench is customizable and easy to use."
"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 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."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"Watson Studio is very stable."
"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."
"It is a stable, reliable product."
"The scalability of IBM Watson Studio is great."
"Running this solution requires a minimum of 12GB to 16GB of RAM."
"The tool's MLOps is not good. It's pricing also needs to improve."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"The solution's interface is very slow at times."
"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."
"The initial setup was complex."
"I want IBM's technical support team to provide more specific answers to queries."
"The main challenge lies in visibility and ease of use."
"We would like to see it more web-based with more functionality."
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Cloudera Data Science Workbench is ranked 19th in Data Science Platforms with 2 reviews while IBM Watson Studio is ranked 11th 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 and KNIME, whereas IBM Watson Studio is most compared with Databricks, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and IBM SPSS Statistics. See our Cloudera Data Science Workbench vs. IBM Watson Studio report.
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