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IBM SPSS Modeler vs IBM Watson Studio comparison

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Featured Review
Find out what your peers are saying about IBM SPSS Modeler vs. IBM Watson Studio and other solutions. Updated: January 2022.
564,729 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Very good data aggregation.""Automation is great and this product is very organized.""It is a great product for running statistical analysis.""The supervised models are valuable. It is also very organized and easy to use.""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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"IBM Watson Studio consistently automates across channels.""It has a lot of data connectors, which is extremely helpful."

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Cons
"It would be good if IBM added help resources to the interface.""When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing.""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.""Dimension reduction should be classified separately.""Requires more development."

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"The initial setup was complex.""Some of the solutions are really good solutions but they can be a little too costly for many."

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Pricing and Cost Advice
  • "$5,000 annually."
  • "This tool, being an IBM product, is pretty expensive."
  • "Its price is okay for a company, but for personal use, it is considered somewhat expensive."
  • More IBM SPSS Modeler Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: 
    The supervised models are valuable. It is also very organized and easy to use.
    Top Answer: 
    Its price is okay for a company, but for personal use, it is considered somewhat expensive.
    Top Answer: 
    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… more »
    Top Answer: 
    We are looking to automate (parts of) our budgeting and financial forecasting cycle
    Ranking
    7th
    Views
    7,053
    Comparisons
    5,659
    Reviews
    5
    Average Words per Review
    501
    Rating
    8.4
    12th
    Views
    5,414
    Comparisons
    4,343
    Reviews
    2
    Average Words per Review
    551
    Rating
    8.5
    Comparisons
    Also Known As
    SPSS Modeler
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
    Learn More
    Overview

    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


    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 IBM SPSS Modeler
    Learn more about IBM Watson Studio
    Sample Customers
    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
    GroupM, Accenture, Fifth Third Bank
    Top Industries
    REVIEWERS
    University23%
    Financial Services Firm15%
    Government12%
    Manufacturing Company12%
    VISITORS READING REVIEWS
    Comms Service Provider25%
    Computer Software Company19%
    Educational Organization8%
    Government7%
    VISITORS READING REVIEWS
    Comms Service Provider24%
    Computer Software Company21%
    Educational Organization8%
    Financial Services Firm7%
    Company Size
    REVIEWERS
    Small Business24%
    Midsize Enterprise6%
    Large Enterprise71%
    REVIEWERS
    Small Business78%
    Large Enterprise22%
    Find out what your peers are saying about IBM SPSS Modeler vs. IBM Watson Studio and other solutions. Updated: January 2022.
    564,729 professionals have used our research since 2012.

    IBM SPSS Modeler is ranked 7th in Data Science Platforms with 5 reviews while IBM Watson Studio is ranked 12th in Data Science Platforms with 2 reviews. IBM SPSS Modeler is rated 8.4, while IBM Watson Studio is rated 8.0. The top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". On the other hand, the top reviewer of IBM Watson Studio writes "Integrates consistently across your digital channel when trying to build an end-to-end digital platform". IBM SPSS Modeler is most compared with KNIME, IBM SPSS Statistics, Alteryx, Microsoft BI and Microsoft Azure Machine Learning Studio, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, Google Cloud Datalab, Amazon SageMaker, Databricks and Anaconda. See our IBM SPSS Modeler 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.