IBM SPSS Modeler vs SAP Predictive Analytics comparison

IBM and SAP are both solutions in the Data Science Platforms category. IBM is ranked #12 with an average rating of 8.0, while SAP is ranked #28. 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

2,695 Views
1,967 Comparison Views

86% willing to recommend

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

559 Views
559 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

12th

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

28th

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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Gary Cook

Executive at Empowered Analytics

Enables us to forecast and pull trends and has an easy installation

My rating for SAP Predictive Analytics would be an eight out of ten. If I have to be bold, I'll probably say that we're building away hours, and we are actually putting a lot of the actual predicting stuff back into the warehouse. So running it very bi-directionally. So I'm not sure what its integration features are at the moment, but that's an area we're going to look into in the next month or so.

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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 most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."

"Very good data aggregation."

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

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

"We have been able to do some predictive modeling with it"

"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."

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

"It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it"

More IBM SPSS Modeler pros

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

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

Cons

"I think mapping for geographic data would also be a really great thing to be able to use."

"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."

"I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it."

"The product does not have a search function for tags."

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

"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."

More IBM SPSS Modeler cons

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

Pricing and Cost Advice

"It is an expensive product."

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

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

"It is a huge increase to time savings."

"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."

"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."

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

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

11%

Financial Services Firm

10%

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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Compared 45% of the time

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Compared 7% 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 20% of the time

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Compared 16% of the time

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Compared 15% of the time

Google Cloud Datalab vs SAP Predictive Analytics

Compared 13% of the time

H2O.ai vs SAP Predictive Analytics

Compared 13% 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

February 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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