IBM SPSS Modeler vs SAS Analytics comparison

IBM and SAS are both solutions in the Data Mining category. IBM is ranked #3 with an average rating of 8.0, while SAS is ranked #5 with an average rating of 9.0. IBM holds a 20.2% mindshare in DM, compared to SAS’s 7.0% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 94% of SAS users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,486 Views
1,268 Comparison Views

86% willing to recommend

SAS Analytics

Read 11 SAS Analytics reviews

704 Views
704 Comparison Views

94% willing to recommend

IBM SPSS Modeler

SAS Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on May 21, 2025

SAS Analytics and IBM SPSS Modeler are key players in data analytics. SAS Analytics excels with its advanced statistical capabilities and pricing advantages, while IBM SPSS Modeler offers ease of use and flexibility, making it preferable for diverse data needs.

Features: SAS Analytics offers robust data management, advanced predictive modeling, and a comprehensive array of statistical tools. IBM SPSS Modeler provides intuitive data preparation, a highly user-friendly interface, and efficient model deployment options.

Room for Improvement: SAS Analytics could benefit from a more user-friendly interface, easier integration with other platforms, and streamlined deployment processes. IBM SPSS Modeler would improve with enhanced visual modeling capabilities, better security features, and expanded data visualization options.

Ease of Deployment and Customer Service: SAS Analytics involves a complex deployment requiring technical expertise, supported by detailed documentation. IBM SPSS Modeler allows for simple deployment with smoother integration, coupled with intuitive customer service for easier implementation.

Pricing and ROI: SAS Analytics, despite higher setup costs, offers significant long-term ROI for data-intensive projects. IBM SPSS Modeler provides competitive pricing and delivers substantial ROI through ease of use and rapid deployment, appealing as a cost-effective solution for quick analytics execution.

To learn more, read our detailed IBM SPSS Modeler vs. SAS Analytics Report (Updated: December 2025).

Buyer's Guide

IBM SPSS Modeler vs. SAS Analytics

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

IBM SPSS Modeler

Ranking in Data Mining

3rd

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Science Platforms (13th)

SAS Analytics

Ranking in Data Mining

5th

Average Rating

9.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Mining category, the mindshare of IBM SPSS Modeler is 20.2%, up from 17.0% compared to the previous year. The mindshare of SAS Analytics is 7.0%, up from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
IBM SPSS Modeler	20.2%
SAS Analytics	7.0%
Other	72.8%

Data Mining

Featured Reviews

Prof. Dr. Rudolf Bisping

Business Owner at SASS GmbH

Support and flexibility enable effective project initiation and meet customer needs but deployment requires enhancement

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult and expensive with IBM SPSS Modeler. With MATLAB, there is no problem. I have a solution, and then I convert my MATLAB solution to C programming language. This I can deploy, and I can check it, and it is MISRA compatible. It is very easy to deploy it, to go from MATLAB to C or C++, which is actually needed in the car industry. In the car industry, they want to have it in the hardware. You cannot put MATLAB or IBM SPSS Modeler in the hardware of a car, but with C, there is no problem with a microcontroller. They can shoot it into the microcontroller, and I can check it with Polyspace, and it is MISRA compatible, which is an industrial standard. There is nothing similar in IBM SPSS Modeler. I made solutions with IBM SPSS Modeler, and then the customer said they wanted to make a production out of it, and it was not possible. I stopped with IBM SPSS Modeler 18. It is now 18.6 from what I know at the moment. I do not believe that there is a possibility to design a graphic user interface with it. It is itself a graphic user interface, where you put all sorts of little icons into the display.

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Ernesto Tapia

Finance Business Intelligence at Banco Santander Mexico SA Institucion de Banca

Automated workflows enhance productivity but could better handle stress tests

I use SAS Analytics in my work to analyze data, such as selecting credits for traditional securitization. Recently, I used SAS Analytics for the project roster from Santander, selecting and evaluating credits, and conducting historical research on the reception of contracts to issue securitization…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."

"It's a very organized product. It's easy to use."

"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 is a great product for running statistical analysis."

"It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler."

"We have a local representative who specializes in SPSS. He will help us do the PoC."

"I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."

"IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level."

More IBM SPSS Modeler pros

"I use SAS daily to analyze data, produce reports, and other outputs."

"It is able to connect to all major platforms, and all the smaller platforms that I have come across."

"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."

"The technical support is okay."

"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."

"The team immediately resolves the issues."

"It's very easy to use once you learn it."

"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."

More SAS Analytics pros

Cons

"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."

"It would be beneficial if the tool would include more well-known machine learning algorithms."

"The challenge for the very technical data scientists: It is constraining for them."

"I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions."

"I would like see more programming languages added, like MATLAB. That would be better."

"Expensive to deploy solutions. You need to buy an extra deployment unit."

"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."

"Dimension reduction should be classified separately."

More IBM SPSS Modeler cons

"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."

"I would like to see their interface to R added to either Base SAS or SAS Analytics."

"The natural language querying and automated preparation of dashboards should be improved."

"This solution should be made more user-friendly."

"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."

"They could enhance the AI capabilities of the product."

"Support at universities used to be limited, but I hear this is changing."

"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."

More SAS Analytics cons

Pricing and Cost Advice

"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."

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."

"$5,000 annually."

"It got us a good amount of money with quick and efficient modeling."

"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."

"It is a huge increase to time savings."

"This tool, being an IBM product, is pretty expensive."

"It is an expensive product."

More IBM SPSS Modeler pricing and cost advice

"I think that the cost-benefit ratio is okay."

"It is relatively expensive. It is not an easy software to afford."

"I rate the product’s pricing a one out of ten."

"Setup costs were quite reasonable."

"Our licensing covers the usage for around 50 data analysts."

"SAS is very expensive."

"Licensing was rather straightforward."

"The cost for SAS Business Intelligence can prove to be a little prohibitive."

More SAS Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Government

12%

Financial Services Firm

12%

University

Manufacturing Company

Financial Services Firm

27%

Computer Software Company

11%

University

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	32

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	9

Questions from the Community

What is your experience regarding pricing and costs for IBM SPSS Modeler?

The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten us...

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What needs improvement with IBM SPSS Modeler?

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What is your primary use case for IBM SPSS Modeler?

I have been using IBM SPSS Modeler for a long time. I am using IBM SPSS Modeler mainly for ETL. Sometimes I use it to compare the results of the modeling as compared to MATLAB. MATLAB is the main t...

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What do you like most about SAS Analytics?

I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app.

See all answers

What needs improvement with SAS Analytics?

SAS Analytics could improve in areas such as handling stress tests and workloads, as well as predicting financial movements, specifically profit and loss movements.

See all answers

What is your primary use case for SAS Analytics?

I use SAS Analytics ( /products/sas-analytics-reviews ) in my work to analyze data, such as selecting credits for traditional securitization. Recently, I used SAS Analytics ( /products/sas-analytic...

See all answers

Comparisons

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 49% of the time

Microsoft Power BI vs IBM SPSS Modeler

Compared 9% of the time

KNIME Business Hub vs IBM SPSS Modeler

Compared 7% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 4% of the time

SAS Enterprise Miner vs IBM SPSS Modeler

Compared 2% of the time

More IBM SPSS Modeler Competitors

KNIME Business Hub vs SAS Analytics

Compared 25% of the time

IBM SPSS Statistics vs SAS Analytics

Compared 13% of the time

Lytics Conductor vs SAS Analytics

Compared 10% of the time

Oracle Advanced Analytics vs SAS Analytics

Compared 8% of the time

SAS Enterprise Miner vs SAS Analytics

Compared 7% of the time

More SAS Analytics Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

January 2026

Download IBM SPSS Modeler product report

Buyer's Guide

Data Mining

January 2026

Download SAS Analytics product report

Also Known As

SPSS Modeler

No data available

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

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IBM

SAS was founded in 1976 and actually began as a project at North Carolina State University to analyze agriculture research. It has since become a global company that is recognized for its innovation in data analytics and business intelligence. SAS is redefining what's possible with data analytics through greater efficiency, strong information value chains, effective collaboration tools, and state-of-the-art visualization software. SAS Analytics is designed for use in a variety of industries including government, manufacturing, higher education, defense & security, banking, automotive, communications, and much more. SAS Analytics is a business intelligence (BI) solution that has the ability to reveal patterns and anomalies in data, identify relationships and different variables, and predict future outcomes. Users of SAS Analytics will benefit from making more sound, better informed business decisions based on company data and market trends. Data mining, data visualization, text analytics, forecasting, statistical analysis, and more are all available through SAS Analytics. Staples, which boasts $27 billion in sales across the globe, has a business philosophy that prioritizes customer loyalty and satisfaction. In order to better engage their customers, Staples utilizes SAS Analytics to plan finely tuned marketing campaigns. Through forecasting and advanced analytics, Staples has been able to rely on fewer contractors, and cut their marketing budget, while improving their customer retention rate.

SAS

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

Aegon, Alberta Parks, Amway China, Axel Springer, Bank of America, Belgium Special Tax, CAP Index, CareSource, CBE Group, Cemig, Center for Responsible Lending, CESCE, Ceska sporitelna, Chantecler, Chico's, Chubb Group of Insurance Companies, CIGNA Thailand, City of Wiesbaden, Germany, Confused.com, Creditreform, Des Moines Area Community College, Deutsche Lufthansa, Directorate of Economics and Statistics, DIRECTV, Dow Chemical Company, Dow Chemical Company, Dun & Bradstreet, EDF Energy, Electrabel GDF SUEZ, ERGO Insurance Group, Erste Bank Croatia, Farmers Mutual Group, Finnair, Florida Department of Corrections, Geneia, Generali Hellas, Genting Malaysia Berhad, Grameenphone, Grandi Salumifici Italiani, HealthPartners, Highmark, Hong Kong Efficiency Unit, HP, Hyundai Securities, Illinois Department of Healthcare and Family ServicesInc Research, ING-DiBa, Institut Pertanian Bogor, InterContinental Hotels Group (IHG), IOM, Kelley Blue Book, Lenovo, Lillebaelt Hospital, Los Angeles County, Maspex Wadowice Group, National Bank of Greece, New Zealand Ministry of Health, New Zealand Ministry of Social Development, Nippon Paper, NMIMS, North Carolina Department of Transportation, North Carolina Office of Information Technology Services, Northern Virginia Electric Cooperative (NOVEC), Oberweis Dairy, ODEC, Ohio Mutual Insurance Group, Oklahoma State University, OneBeacon, Orange Business Services, Orange County Child Support Services, Organic, Orlando Magic, OTP Bank, Plano Independent School District, Project Odyssey, Royal Society for the Protection of Birds, RSA Canada, SCAD, Scotiabank, Singapore National Library Board, Sobeys Inc., SRA International, Staples, Statistics Estonia, Swisscom, SymphonyIRI Group, Telecom Italia, Telef‹nica O2, Town of Cary, Transitions Optical, TrueCar, Turkcell Superonline, UniCredit Bank Serbia, University of Alabama, University of Missouri, USDA National Agricultural Statistics Service

Buyer's Guide

IBM SPSS Modeler vs. SAS Analytics

December 2025

Free Report: IBM SPSS Modeler vs. SAS Analytics

Find out what your peers are saying about IBM SPSS Modeler vs. SAS Analytics and other solutions. Updated: December 2025.

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