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 6.8, while SAP is ranked #25. IBM holds a 2.4% mindshare in Data Science Platforms, compared to SAP’s 0.3% 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 39 IBM SPSS Modeler reviews

1,875 Views
1,525 Comparison Views

86% willing to recommend

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

302 Views
245 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: January 2025).

Buyer's Guide

IBM SPSS Modeler vs. SAP Predictive Analytics

January 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

6.6

Number of Reviews

Ranking in other categories

Data Mining (4th)

SAP Predictive Analytics

Ranking in Data Science Platforms

25th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2025, in the Data Science Platforms category, the mindshare of IBM SPSS Modeler is 2.4%, down from 2.8% compared to the previous year. The mindshare of SAP Predictive Analytics is 0.3%, down from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

PeterHuo

Application Architect at Canada Border Services Agency

Good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data

There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database. When streams become larger, performance bottlenecks may occur in the IBM SPSS Modeler server or the database. Sometimes the server crashes and needs to be restarted to release memory on both sides. I'm not sure exactly where the problem is caused, as I focus on stream design rather than server issues. The problem could be on the IBM SPSS Modeler server and database.

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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

"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."

"We are using it either for workforce deployment or to improve our operations."

"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."

"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."

"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."

"The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that."

"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."

"It is a great product for running statistical analysis."

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

"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."

"There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database."

"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."

"The time series should be improved."

"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."

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

"The integration with sources and visualisation needs some improvement. The scalability needs improvement."

"Unstructured data is not appropriate for SPSS Modeler."

More IBM SPSS Modeler cons

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

Pricing and Cost Advice

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

"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."

"It is a huge increase to time savings."

"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."

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

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

"It is an expensive product."

"$5,000 annually."

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

Financial Services Firm

12%

Educational Organization

12%

Computer Software Company

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about IBM SPSS Modeler?

Compared to other tools, the product works much easier to analyze data without coding.

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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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Comparisons

Microsoft Power BI vs IBM SPSS Modeler

Compared 29% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 19% of the time

KNIME vs IBM SPSS Modeler

Compared 17% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 7% of the time

Alteryx vs IBM SPSS Modeler

Compared 7% of the time

More IBM SPSS Modeler Competitors

Microsoft Azure Machine Learning Studio vs SAP Predictive Analytics

Compared 100% of the time

More SAP Predictive Analytics Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

February 2025

Download IBM SPSS Modeler product report

Buyer's Guide

Data Science Platforms

February 2025

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

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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

January 2025

Free Report: IBM SPSS Modeler vs. SAP Predictive Analytics

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