Cloudera Data Science Workbench vs IBM Watson Studio comparison

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Cloudera Logo
1,926 views|1,690 comparisons
66% willing to recommend
IBM Logo
3,009 views|1,956 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Cloudera Data Science Workbench vs. IBM Watson Studio Report (Updated: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
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.""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."

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"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."

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Cons
"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."

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"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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Pricing and Cost Advice
  • "Watson Studio's pricing is reasonable for what you get."
  • "IBM Watson Studio is a reasonably priced product"
  • "IBM Watson Studio is an expensive solution."
  • "The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."
  • More IBM Watson Studio Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:The tool's MLOps is not good. It's pricing also needs to improve.
    Top Answer:We have different use cases. Our banking use case uses machine learning to identify customer life events and recommend the best-suited card products. These machine-learning models are deployed in our… more »
    Top Answer:From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment are separated, then it would be good. I would like them to be one and offer users a… more »
    Ranking
    19th
    Views
    1,926
    Comparisons
    1,690
    Reviews
    1
    Average Words per Review
    353
    Rating
    6.0
    11th
    Views
    3,009
    Comparisons
    1,956
    Reviews
    5
    Average Words per Review
    426
    Rating
    8.2
    Comparisons
    Also Known As
    CDSW
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
    Learn More
    IBM
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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.

    Sample Customers
    IQVIA, Rush University Medical Center, Western Union
    GroupM, Accenture, Fifth Third Bank
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm32%
    Healthcare Company10%
    Computer Software Company8%
    Manufacturing Company8%
    REVIEWERS
    Manufacturing Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company12%
    Manufacturing Company8%
    Educational Organization8%
    Company Size
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise9%
    Large Enterprise81%
    REVIEWERS
    Small Business71%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    Buyer's Guide
    Cloudera Data Science Workbench vs. IBM Watson Studio
    May 2024
    Find out what your peers are saying about Cloudera Data Science Workbench vs. IBM Watson Studio and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    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.

    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.