Cloudera Data Science Workbench vs IBM SPSS Modeler comparison

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Executive Summary

We performed a comparison between Cloudera Data Science Workbench and IBM SPSS Modeler based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
Ismail Peer
Giovanni Cervellati
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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."

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"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want.""We have been able to do some predictive modeling with it""Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end.""We have full control of the data handling process.""It scales. I have not run into any challenges where it will not perform.​""We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python.""It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler.""You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."

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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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"The forecasting could be a bit easier.""I can say the solution is outdated.""Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way.""The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood.""The platform's cloud version needs improvements.""It would be good if IBM added help resources to the interface.""The product does not have a search function for tags.""I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions."

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Pricing and Cost Advice
  • "Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."
  • "If you are in a university and the license is free then you can use the tool without any charges, which is good."
  • "It is a huge increase to time savings."
  • "The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."
  • "When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."
  • "It got us a good amount of money with quick and efficient modeling."
  • "$5,000 annually."
  • "This tool, being an IBM product, is pretty expensive."
  • More IBM SPSS Modeler 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:Compared to other tools, the product works much easier to analyze data without coding.
    Top Answer:The platform's cloud version needs improvements. The process to access workflow could be user-friendly. It could be easier to log in and manage security levels. Additionally, it needs to be more… more »
    Ranking
    16th
    Views
    2,372
    Comparisons
    2,085
    Reviews
    1
    Average Words per Review
    353
    Rating
    6.0
    11th
    Views
    3,297
    Comparisons
    2,631
    Reviews
    6
    Average Words per Review
    372
    Rating
    7.3
    Comparisons
    Also Known As
    CDSW
    SPSS Modeler
    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 SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

    Buy
    https://www.ibm.com/products/spss-modeler/pricing
     
    Sign up for the trial
    https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947


    Sample Customers
    IQVIA, Rush University Medical Center, Western Union
    Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Computer Software Company10%
    Healthcare Company9%
    Comms Service Provider6%
    REVIEWERS
    University23%
    Financial Services Firm17%
    Manufacturing Company14%
    Government9%
    VISITORS READING REVIEWS
    Educational Organization16%
    Financial Services Firm10%
    Computer Software Company9%
    University8%
    Company Size
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise11%
    Large Enterprise78%
    REVIEWERS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise13%
    Large Enterprise64%
    Buyer's Guide
    Data Science Platforms
    March 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Cloudera Data Science Workbench is ranked 16th in Data Science Platforms with 2 reviews while IBM SPSS Modeler is ranked 11th in Data Science Platforms with 38 reviews. Cloudera Data Science Workbench is rated 7.0, while IBM SPSS Modeler is rated 8.0. 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 SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Google Cloud Datalab, whereas IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and Alteryx.

    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.