IBM SPSS Modeler vs IBM SPSS Statistics vs SAS Analytics comparison

IBM SPSS Modeler and IBM SPSS Statistics are both solutions in the Data Mining category. IBM SPSS Modeler is ranked #3 with an average rating of 8.0, while IBM SPSS Statistics is ranked #2 with an average rating of 8.8. IBM SPSS Modeler holds a 18.9% mindshare in DM, compared to IBM SPSS Statistics’s 18.3% mindshare. Additionally, 86% of IBM SPSS Modeler users are willing to recommend the solution, compared to 89% of IBM SPSS Statistics users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,814 Views
1,379 Comparison Views

86% willing to recommend

IBM SPSS Statistics

Read 40 IBM SPSS Statistics reviews

3,548 Views
1,597 Comparison Views

89% willing to recommend

SAS Analytics

Read 12 SAS Analytics reviews

939 Views
939 Comparison Views

94% willing to recommend

IBM SPSS Modeler

IBM SPSS Statistics

SAS Analytics

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Executive Summary

We performed a comparison between IBM SPSS Modeler, IBM SPSS Statistics, and SAS Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining.

To learn more, read our detailed Data Mining Report (Updated: March 2026).

Buyer's Guide

Data Mining

March 2026

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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:

Mindshare comparison

As of April 2026, in the Data Mining category, the mindshare of IBM SPSS Modeler is 18.9%, up from 17.1% compared to the previous year. The mindshare of IBM SPSS Statistics is 18.3%, up from 16.5% compared to the previous year. The mindshare of SAS Analytics is 7.7%, up from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
IBM SPSS Statistics	18.3%
IBM SPSS Modeler	18.9%
SAS Analytics	7.7%
Other	55.099999999999994%

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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EzzAbdelfattah

Associate Professor Of Statistics at a university with 10,001+ employees

Advanced predictive analytics have supported my research and student projects across many methods

The only function I may need to be added or hope to be added to IBM SPSS Statistics is how to treat unstructured data. This mainly exists with IBM SPSS Modeler, but I do not think it is able to treat something like videos and similar content unless you are using languages like Python inside IBM SPSS Modeler or inside IBM SPSS Statistics. For the menu itself, for the selection, it does not exist. Thinking of the future, I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.

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Alejandro Mérida Cárdenas

Senior Manager at Scotiabank

Advanced analytics has expanded risk modeling and simplified multi‑source data extraction

With SAS Analytics, I find that the graphs are very poor, and since I use Power BI, I think SAS Analytics needs to enhance the visualization options to do better visualizations. Many other software have advanced in this area, but I feel SAS Analytics's graphs are not the same. In my experience, many people do not use the graphs of SAS Analytics; instead, they use Power BI or Excel to create graphs because Excel provides more options that SAS Analytics does not. I appreciate that in the last versions, with SAS Viya, there was a significant enhancement in the graphs, but not in SAS Enterprise Guide. The graphic interface of SAS Analytics could be better. The data visualization tools in SAS Analytics should be improved, which is why I use Power BI. I think this is an opportunity area for SAS Analytics. For visualization, I would rate SAS Analytics a nine. I consider SAS Analytics a wonderful tool, but they need to enhance the visualizations.

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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

"It is pretty scalable."

"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."

"Some basic form of feature engineering for classification models really quickens the model development process."

"SPSS Modeler is a friendly interface for a beginner user."

"IBM SPSS Modeler is the easiest solution."

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

"Some basic form of feature engineering for classification models. This really quickens the model development process."

"It's a very good and reasonably priced solution."

More IBM SPSS Modeler pros

"In terms of the features, I think that the modelling section in IBM SPSS Clementine is very good, it has a lot of modeling techniques compared to other tools."

"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."

"If you want to do a quick analysis, SPSS is quite robust and quicker in terms of providing the output."

"It is a modeling tool with helpful automation."

"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."

"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."

"You can quickly build models because it does the work for you."

"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."

More IBM SPSS Statistics pros

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

"SAS Business Intelligence is well-suited for our large corporation, as we have demand for scalable and reliable insights into information which is housed in our large systems."

"SAS Business Intelligence is well-suited for our large corporation. We have demand for scalable and reliable insights into information which is housed in our large systems."

"The most valuable aspect of SAS Analytics is the ability to automate work using macros without heavily relying on technology teams, allowing me to create functions that operate independently and streamline workflows efficiently."

"It has improved the level of efficacy and validity of our reports."

"I think that the cost-benefit ratio is okay, it is the right balance."

"The most valuable aspect of SAS Analytics is the ability to automate work using macros without heavily relying on technology teams."

"The most valuable feature is the ability to handle large data sets."

More SAS Analytics pros

Cons

"The software is quite expensive and IBM is currently marketing its other digital dashboard tools such as IBM cognos, now we aren't sure on the plans of IBM integrating these two softwares."

"We have run into a few problems doing some entity matching/analytics using this portion of the software."

"I can say the solution is outdated."

"The standard package (personal) is not supported for database connection."

"This tool has a lot of bugs."

"The time series should be improved."

"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."

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

More IBM SPSS Modeler cons

"It could provide even more in the way of automation as there are many opportunities."

"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."

"The technical support should be improved."

"I do think that the design of the experience can be improved."

"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."

"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

"Needs more statistical modelling functions."

"In comparing the price of other products, SPSS Statistics is too expensive."

More IBM SPSS Statistics cons

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

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

"In the graphical area much more improvement is still needed."

"The graphing and visualization features could be enhanced, in my opinion."

"This solution should be made more user-friendly. It needs a better visual output to explain logic to senior executives."

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

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

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

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."

"$5,000 annually."

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

"I am using the free version of IBM SPSS Modeler, it is the educational edition version."

"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."

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

"It is a huge increase to time savings."

"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 users use the server with ten licenses, it runs faster. But if forty users use the same appliance, everything slows down. People then think it's not easy to do things and prefer using remote tools like Python to extract data from the database. It's not about being expensive or cheap, but about people's knowledge and experience in how to do the work."

More IBM SPSS Modeler pricing and cost advice

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"I rate the tool's pricing a five out of ten."

"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"It's quite expensive, but they do a special deal for universities."

"More affordable training for new staff members."

"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."

"We think that IBM SPSS is expensive for this function."

More IBM SPSS Statistics pricing and cost advice

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

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

"Licensing was rather straightforward."

"Prices were comparable with alternative solutions."

"SAS is very expensive."

"Setup costs were quite reasonable."

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

"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

10%

Financial Services Firm

10%

University

Outsourcing Company

Financial Services Firm

19%

Manufacturing Company

Computer Software Company

University

Financial Services Firm

25%

Computer Software Company

Construction Company

Outsourcing 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	9
Midsize Enterprise	6
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	10

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 bud...

See all answers

What needs improvement with IBM SPSS Modeler?

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult ...

See all answers

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...

See all answers

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

I think the price of the solution is very reasonable. The cost depends; you have the option for subscription or you c...

See all answers

What needs improvement with IBM SPSS Statistics?

The only function I may need to be added or hope to be added to IBM SPSS Statistics is how to treat unstructured data...

See all answers

What is your primary use case for IBM SPSS Statistics?

I do use IBM SPSS Statistics, and even my students are using it for their projects and reports while working on PhD o...

See all answers

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...

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 mov...

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 tra...

See all answers

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Compared 5% of the time

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Compared 4% of the time

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Compared 3% of the time

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Compared 2% of the time

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Compared 15% of the time

OpenText Intelligent Classification vs SAS Analytics

Compared 13% of the time

Lytics Conductor vs SAS Analytics

Compared 12% of the time

SAS Enterprise Miner vs SAS Analytics

Compared 9% of the time

Oracle Advanced Analytics vs SAS Analytics

Compared 7% of the time

More SAS Analytics Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

March 2026

Download IBM SPSS Modeler product report

Buyer's Guide

IBM SPSS Statistics

March 2026

Download IBM SPSS Statistics product report

Buyer's Guide

Data Mining

March 2026

Download SAS Analytics product report

Also Known As

SPSS Modeler

SPSS Statistics

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.

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IBM

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

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

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

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

Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: March 2026.

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