Domino Data Science Platform vs IBM SPSS Modeler comparison

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Domino Data Lab Logo
2,664 views|2,314 comparisons
100% willing to recommend
IBM Logo
3,065 views|2,425 comparisons
85% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Domino Data Science Platform 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: April 2024).
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Featured Review
Syed-Hussain
Giovanni Cervellati
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The scalability of the solution is good; I'd rate it four out of five."

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"It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python.""Automation is great and this product is very organized.""It is just a lot faster. So you do not have to write a bunch of code, you can throw that stuff on there pretty quickly and do prototyping quickly.""Stability is good.""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.""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.""Compared to other tools, the product works much easier to analyze data without coding.""It will scale up to anything we need."

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Cons
"The predictive analysis feature needs improvement."

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"The time series should be improved.""Dimension reduction should be classified separately.""The challenge for the very technical data scientists: It is constraining for them.​""It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking.""Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler.""It's not as user friendly as it could be.""The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only.""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."

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Pricing and Cost Advice
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  • "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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    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
    19th
    Views
    2,664
    Comparisons
    2,314
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    12th
    Views
    3,065
    Comparisons
    2,425
    Reviews
    6
    Average Words per Review
    372
    Rating
    7.3
    Comparisons
    Also Known As
    Domino Data Lab Platform
    SPSS Modeler
    Learn More
    Domino Data Lab
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    IBM
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    Overview

    Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

    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.

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    https://www.ibm.com/products/spss-modeler/pricing
     
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    Sample Customers
    Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
    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 Firm29%
    Insurance Company11%
    Manufacturing Company10%
    Computer Software Company7%
    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 Business9%
    Midsize Enterprise7%
    Large Enterprise85%
    REVIEWERS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    770,428 professionals have used our research since 2012.

    Domino Data Science Platform is ranked 19th in Data Science Platforms while IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews. Domino Data Science Platform is rated 7.0, while IBM SPSS Modeler is rated 8.0. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". 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". Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Alteryx, whereas IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, IBM SPSS Statistics, RapidMiner 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.