IBM SPSS Modeler vs SAP Predictive Analytics comparison

IBM and SAP are both solutions in the Data Science Platforms category. IBM is ranked #13 with an average rating of 8.0, while SAP is ranked #27. IBM holds a 3.5% mindshare in Data Science Platforms, compared to SAP’s 1.2% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,486 Views
1,790 Comparison Views

86% willing to recommend

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

426 Views
422 Comparison Views

100% willing to recommend

IBM SPSS Modeler

SAP Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Modeler and SAP Predictive Analytics are competitive analytics solutions known for their distinct advantages in the analytics software category. While IBM SPSS Modeler scores higher on pricing and support, SAP Predictive Analytics is favored due to its advanced features, considered worth its higher cost.

Features: IBM SPSS Modeler includes intuitive drag-and-drop functionality, comprehensive data preparation tools, and seamless model building. SAP Predictive Analytics offers sophisticated automation, scalability, and complex predictive modeling capabilities suitable for large enterprise environments.

Ease of Deployment and Customer Service: IBM SPSS Modeler allows simplified deployment with extensive integration options for quick installation and setup, complemented by responsive and expert customer service. SAP Predictive Analytics provides flexible deployment models and robust support, albeit with a potentially longer setup time due to the resources required.

Pricing and ROI: IBM SPSS Modeler presents a competitive setup cost, providing an attractive initial investment with solid ROI for cost-efficient businesses. SAP Predictive Analytics requires a higher initial expenditure but delivers significant ROI through its predictive capabilities and scalability, favored by enterprises seeking long-term value.

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

Buyer's Guide

IBM SPSS Modeler vs. SAP Predictive 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 Science Platforms

13th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (3rd)

SAP Predictive Analytics

Ranking in Data Science Platforms

27th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Science Platforms category, the mindshare of IBM SPSS Modeler is 3.5%, up from 2.3% compared to the previous year. The mindshare of SAP Predictive Analytics is 1.2%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
IBM SPSS Modeler	3.5%
SAP Predictive Analytics	1.2%
Other	95.3%

Data Science Platforms

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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Abdul-Rasool

Senior Practice Manager - Head of SAP at a tech consulting company with 201-500 employees

Easy to implement, good data forecasting and reporting

This solution works for acquired data but not live, real-time data. If we connect it to a live backend system then we cannot perform predictive analytics on top of that. We have to first upload data to the cloud, manage the staging environment, and then perform the analysis. In the next release of this solution, I would like to see more automation in generating the models. The system can suggest the dimensions and measures that should be used, and pre-populate some of the information based on that. Power users would not have as much need for this, but this type of automation would be very helpful for business end-users.

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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

"The customer loves it at first glance because it is so easy to handle, and you get a solution pretty soon."

"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 continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."

"Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms."

"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."

"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."

"So far, the stability has been rock solid."

"The supervised models are valuable. It is also very organized and easy to use."

More IBM SPSS Modeler pros

"I think the features of the actual ability to forecast and pull trends and correlations has been really good."

"The most valuable features are the analytics and reporting."

Cons

"The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."

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

"I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities."

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

"Initial setup of the software was complex, because of our own problems within the government."

"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."

"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."

"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."

More IBM SPSS Modeler cons

"This solution works for acquired data but not live, real-time data."

Pricing and Cost Advice

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

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

"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."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

"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."

"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."

More IBM SPSS Modeler pricing and cost advice

"A free trial version is available for testing out this solution."

"The pricing is reasonable"

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Top Industries

By visitors reading reviews

Government

12%

Financial Services Firm

12%

University

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

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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Comparisons

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Compared 47% of the time

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Compared 8% of the time

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Compared 6% of the time

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Compared 4% of the time

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Compared 4% of the time

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Compared 27% of the time

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Compared 22% of the time

Saturn Cloud vs SAP Predictive Analytics

Compared 18% of the time

Google Cloud Datalab vs SAP Predictive Analytics

Compared 16% of the time

H2O.ai vs SAP Predictive Analytics

Compared 16% of the time

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Product Reports

Buyer's Guide

IBM SPSS Modeler

January 2026

Download IBM SPSS Modeler product report

Buyer's Guide

Data Science Platforms

January 2026

Download SAP Predictive Analytics product report

Also Known As

SPSS Modeler

SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA

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

Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

SAP

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

mBank

Buyer's Guide

IBM SPSS Modeler vs. SAP Predictive Analytics

December 2025

Free Report: IBM SPSS Modeler vs. SAP Predictive Analytics

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