IBM SPSS Modeler vs IBM Watson Studio comparison

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Executive Summary

We performed a comparison between IBM SPSS Modeler 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 IBM SPSS Modeler vs. IBM Watson Studio Report (Updated: March 2024).
763,955 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
"It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers.""It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it""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 scales. I have not run into any challenges where it will not perform.​""Compared to other tools, the product works much easier to analyze data without coding.""It will scale up to anything we need.""It is a great product for running statistical analysis.""The supervised models are valuable. It is also very organized and easy to use."

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"It is a very stable and reliable solution.""It has greatly improved the performance because it is standardized across the company.""Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic.""For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks.""It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements.""The solution is very easy to use.""IBM Watson Studio consistently automates across channels.""It has a lot of data connectors, which is extremely helpful."

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Cons
"The forecasting could be a bit easier.""I would like see more programming languages added, like MATLAB. That would be better.""Customer support is hard to contact.""The time series should be improved.""The integration with sources and visualisation needs some improvement. The scalability needs improvement.""​Initial setup of the software was complex, because of our own problems within the government.""Expensive to deploy solutions. You need to buy an extra deployment unit.""It would be good if IBM added help resources to the interface."

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"I think maybe the support is an area where it lacks.""More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier.""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.""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.""The decision making in their decision making feature is less good than other options.""I want IBM's technical support team to provide more specific answers to queries.""Watson Studio would be improved with a clearer path for the deployment of docker images.""The initial setup was complex."

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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."
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  • "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: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 »
    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
    11th
    Views
    3,297
    Comparisons
    2,631
    Reviews
    6
    Average Words per Review
    372
    Rating
    7.3
    9th
    Views
    3,554
    Comparisons
    2,387
    Reviews
    5
    Average Words per Review
    426
    Rating
    8.2
    Comparisons
    Also Known As
    SPSS Modeler
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
    Learn More
    IBM
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    IBM
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    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.

    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 Firm17%
    Manufacturing Company14%
    Government9%
    VISITORS READING REVIEWS
    Educational Organization16%
    Financial Services Firm10%
    Computer Software Company9%
    University8%
    REVIEWERS
    Manufacturing Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company12%
    Educational Organization8%
    Comms Service Provider7%
    Company Size
    REVIEWERS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise14%
    Large Enterprise63%
    REVIEWERS
    Small Business71%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    Buyer's Guide
    IBM SPSS Modeler vs. IBM Watson Studio
    March 2024
    Find out what your peers are saying about IBM SPSS Modeler vs. IBM Watson Studio and other solutions. Updated: March 2024.
    763,955 professionals have used our research since 2012.

    IBM SPSS Modeler is ranked 11th in Data Science Platforms with 6 reviews while IBM Watson Studio is ranked 9th in Data Science Platforms with 5 reviews. IBM SPSS Modeler is rated 8.0, while IBM Watson Studio is rated 8.2. The top reviewer of IBM SPSS Modeler writes "Useful visual programming, minimal configuration required, and overall powerful". 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". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and Databricks, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, Databricks, Azure OpenAI, Google Vertex AI and Alteryx. See our IBM SPSS Modeler vs. IBM Watson Studio report.

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    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.