We just raised a $30M Series A: Read our story

Compare Amazon SageMaker vs. IBM SPSS Modeler

Cancel
You must select at least 2 products to compare!
Amazon SageMaker Logo
12,692 views|10,450 comparisons
IBM SPSS Modeler Logo
7,183 views|5,755 comparisons
Featured Review
Find out what your peers are saying about Amazon SageMaker vs. IBM SPSS Modeler and other solutions. Updated: November 2021.
555,139 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 deployment is very good, where you only need to press a few buttons.""Allows you to create API endpoints.""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.""They are doing a good job of evolving."

More Amazon SageMaker Pros »

"Very good data aggregation.""Automation is great and this product is very organized.""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.""It is a great product for running statistical analysis."

More IBM SPSS Modeler Pros »

Cons
"AI is a new area and AWS needs to have an internship training program available.""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.""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."

More Amazon SageMaker Cons »

"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.""Requires more development.""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."

More IBM SPSS Modeler Cons »

Pricing and Cost Advice
"The support costs are 10% of the Amazon fees and it comes by default.""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."

More Amazon SageMaker Pricing and Cost Advice »

"This tool, being an IBM product, is pretty expensive.""$5,000 annually.""Its price is okay for a company, but for personal use, it is considered somewhat expensive."

More IBM SPSS Modeler Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
555,139 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
11th
Views
12,692
Comparisons
10,450
Reviews
3
Average Words per Review
596
Rating
8.0
8th
Views
7,183
Comparisons
5,755
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 Organization9%
Government6%
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: November 2021.
555,139 professionals have used our research since 2012.

Amazon SageMaker is ranked 11th in Data Science Platforms with 4 reviews while IBM SPSS Modeler is ranked 8th in Data Science Platforms with 5 reviews. Amazon SageMaker is rated 8.0, while IBM SPSS Modeler is rated 8.4. 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 and Domino Data Science Platform, whereas IBM SPSS Modeler is most compared with IBM Watson Studio, KNIME, IBM SPSS Statistics, Alteryx and MathWorks Matlab. 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.