Compare Amazon SageMaker vs. IBM SPSS Modeler

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Amazon SageMaker Logo
10,728 views|9,378 comparisons
IBM SPSS Modeler Logo
9,235 views|7,060 comparisons
Most Helpful Review
Find out what your peers are saying about Amazon SageMaker vs. IBM SPSS Modeler and other solutions. Updated: November 2020.
447,846 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
"The few projects we have done have been promising.""They are doing a good job of evolving.""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.""Allows you to create API endpoints.""The deployment is very good, where you only need to press a few buttons."

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"Very good data aggregation.""It is a great product for running statistical analysis.""Automation is great and this product is very organized.""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
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.""I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox.""AI is a new area and AWS needs to have an internship training program available.""Lacking in some machine learning pipelines.""Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."

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"Requires more development.""It would be good if IBM added help resources to the interface.""Dimension reduction should be classified separately.""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
"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation.""The support costs are 10% of the Amazon fees and it comes by default."

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"$5,000 annually.""This tool, being an IBM product, is pretty expensive."

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Questions from the Community
Top Answer: Allows you to create API endpoints.
Top Answer: The pricing for the Notebook endpoints is a bit high, but generally reasonable.
Top Answer: The product has come a long way and they've added a lot of things, but in terms of improvement I would like to probably have features such as MLflow embedded into it. Additional features I would like… more »
Top Answer: There are some important differences between both products. So probably, the first question I'll ask you is "for what use case are you evaluating these products?" Of course, there are some general… more »
Top Answer: I used IBM Modeler several years ago and found it to be effective, but expensive. Fortunately, it was for a commercially funded contract. For KNIME I have only used it for experimental purposes and… more »
Ranking
14th
Views
10,728
Comparisons
9,378
Reviews
4
Average Words per Review
510
Avg. Rating
7.5
9th
Views
9,235
Comparisons
7,060
Reviews
6
Average Words per Review
450
Avg. Rating
7.5
Popular Comparisons
Compared 28% of the time.
Compared 8% of the time.
Compared 15% of the time.
Compared 14% of the time.
Compared 2% of the time.
Also Known As
AWS SageMaker, SageMakerSPSS Modeler
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Amazon
IBM
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.

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https://www.ibm.com/products/spss-modeler/pricing
 
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https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947


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Sample Customers
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, IntuitReisebªro 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 Company31%
Media Company19%
Comms Service Provider10%
Insurance Company6%
REVIEWERS
University20%
Financial Services Firm16%
Manufacturing Company12%
Government12%
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider17%
K 12 Educational Company Or School8%
University7%
Company Size
REVIEWERS
Midsize Enterprise57%
Large Enterprise43%
REVIEWERS
Small Business24%
Midsize Enterprise6%
Large Enterprise70%
Find out what your peers are saying about Amazon SageMaker vs. IBM SPSS Modeler and other solutions. Updated: November 2020.
447,846 professionals have used our research since 2012.

Amazon SageMaker is ranked 14th in Data Science Platforms with 5 reviews while IBM SPSS Modeler is ranked 9th in Data Science Platforms with 5 reviews. Amazon SageMaker is rated 7.6, while IBM SPSS Modeler is rated 8.0. The top reviewer of Amazon SageMaker writes "A solution with great computational storage, has many pre-built models, is stable, and has good support". 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, H2O.ai and Domino Data Science Platform, whereas IBM SPSS Modeler is most compared with KNIME, Alteryx, IBM SPSS Statistics, IBM Watson Studio and Microsoft BI. See our Amazon SageMaker vs. IBM SPSS Modeler report.

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