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Amazon SageMaker vs IBM SPSS Modeler comparison

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Amazon SageMaker Logo
12,554 views|10,297 comparisons
IBM SPSS Modeler Logo
7,053 views|5,659 comparisons
Featured Review
Find out what your peers are saying about Amazon SageMaker vs. IBM SPSS Modeler and other solutions. Updated: January 2022.
563,780 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
"Allows you to create API endpoints.""The deployment is very good, where you only need to press a few buttons.""The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases."

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"Very good data aggregation.""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.""It is a great product for running statistical analysis.""The supervised models are valuable. It is also very organized and easy to use.""Automation is great and this product is very organized."

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Cons
"AI is a new area and AWS needs to have an internship training program available.""Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier.""Lacking in some machine learning pipelines."

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"Requires more development.""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.""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.""It would be good if IBM added help resources to the interface.""Dimension reduction should be classified separately."

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Pricing and Cost Advice
  • "The support costs are 10% of the Amazon fees and it comes by default."
  • More Amazon SageMaker 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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    Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
    563,780 professionals have used our research since 2012.
    Questions from the Community
    Top Answer: 
    We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
    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 »
    Ranking
    9th
    Views
    12,554
    Comparisons
    10,297
    Reviews
    2
    Average Words per Review
    505
    Rating
    7.5
    7th
    Views
    7,053
    Comparisons
    5,659
    Reviews
    5
    Average Words per Review
    501
    Rating
    8.4
    Comparisons
    Also Known As
    AWS SageMaker, SageMaker
    SPSS Modeler
    Learn More
    Overview

    Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

    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


    Offer
    Learn more about Amazon SageMaker
    Learn more about IBM SPSS Modeler
    Sample Customers
    DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
    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
    Computer Software Company24%
    Media Company14%
    Comms Service Provider14%
    Financial Services Firm8%
    REVIEWERS
    University23%
    Financial Services Firm15%
    Manufacturing Company12%
    Government12%
    VISITORS READING REVIEWS
    Comms Service Provider25%
    Computer Software Company19%
    Educational Organization8%
    Government7%
    Company Size
    REVIEWERS
    Midsize Enterprise57%
    Large Enterprise43%
    REVIEWERS
    Small Business24%
    Midsize Enterprise6%
    Large Enterprise71%
    Find out what your peers are saying about Amazon SageMaker vs. IBM SPSS Modeler and other solutions. Updated: January 2022.
    563,780 professionals have used our research since 2012.

    Amazon SageMaker is ranked 9th in Data Science Platforms with 3 reviews while IBM SPSS Modeler is ranked 7th in Data Science Platforms with 5 reviews. Amazon SageMaker is rated 7.6, while IBM SPSS Modeler is rated 8.4. The top reviewer of Amazon SageMaker writes "Good deployment and monitoring features, but the interface could use some improvement". On the other hand, the top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, Domino Data Science Platform and SAS Enterprise Miner, whereas IBM SPSS Modeler is most compared with IBM Watson Studio, KNIME, IBM SPSS Statistics, Alteryx and Anaconda. See our Amazon SageMaker vs. IBM SPSS Modeler 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.