IBM SPSS Modeler vs IBM SPSS Statistics comparison

IBM SPSS Modeler and IBM SPSS Statistics are both solutions in the Data Mining category. IBM SPSS Modeler is ranked #4 with an average rating of 6.8, while IBM SPSS Statistics is ranked #3 with an average rating of 8.7. IBM SPSS Modeler holds a 18.1% mindshare in DM, compared to IBM SPSS Statistics’s 16.6% mindshare. Additionally, 86% of IBM SPSS Modeler users are willing to recommend the solution, compared to 88% of IBM SPSS Statistics users who would recommend it.

IBM SPSS Modeler

Read 39 IBM SPSS Modeler reviews

968 Views
781 Comparison Views

86% willing to recommend

IBM SPSS Statistics

Read 38 IBM SPSS Statistics reviews

986 Views
657 Comparison Views

88% willing to recommend

IBM SPSS Modeler

IBM SPSS Statistics

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Statistics and IBM SPSS Modeler are powerful tools in the realm of data analysis. IBM SPSS Modeler often takes the lead with its comprehensive feature set for users seeking advanced modeling techniques and scalability, while IBM SPSS Statistics remains a cost-effective choice for educational users due to discounted pricing.

Features: IBM SPSS Statistics offers advanced statistical modeling capabilities, including regression and PCA, and supports large data sets. IBM SPSS Modeler stands out with advanced modeling techniques, machine learning algorithms, and prebuilt solutions for predictive analytics, streamlining data analysis without extensive coding.

Room for Improvement: IBM SPSS Statistics could improve its data visualization, macro documentation, and integration with other software solutions. IBM SPSS Modeler might benefit from improved algorithm integration, more intuitive visual networks, and addressing server performance issues for large data handling.

Ease of Deployment and Customer Service: Both IBM SPSS Statistics and Modeler are primarily deployed on-premises, with some cloud usage for SPSS Statistics. User experiences with technical support vary; while some appreciate the responsiveness, others rely on self-help resources due to slower response times.

Pricing and ROI: Both products receive feedback on their high pricing, particularly for advanced features. SPSS Statistics offers better pricing for educational users, while Modeler is priced higher due to its capabilities. Both tools provide significant ROI through streamlined data analysis and improved decision-making.

To learn more, read our detailed IBM SPSS Modeler vs. IBM SPSS Statistics Report (Updated: May 2025).

Buyer's Guide

IBM SPSS Modeler vs. IBM SPSS Statistics

May 2025

Download the complete report

Helped 857,585 peers since 2012

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

4th

Ranking in Data Science Platforms

14th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM SPSS Statistics

Ranking in Data Mining

3rd

Ranking in Data Science Platforms

8th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Data Mining category, the mindshare of IBM SPSS Modeler is 18.1%, up from 16.4% compared to the previous year. The mindshare of IBM SPSS Statistics is 16.6%, up from 12.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining

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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Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Delivers reliable results for academic research and keeps you close to your data.

SPSS is perfectly adequate if all you want are some results. If you only need the results, you do not require the trail of evidence on how you obtained those results. I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers; I used it for my papers as well. For wider uses I find Knime keeps me in touch with my data, however much I transform them.

Read full review

Quotes from Members

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

Pros

"It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers."

"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."

"Automated modelling, classification, or clustering are very useful."

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

"It scales. I have not run into any challenges where it will not perform."

"It is just a lot faster. So you do not have to write a bunch of code, you can throw that stuff on there pretty quickly and do prototyping quickly."

"Stability is good."

"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."

More IBM SPSS Modeler pros

"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."

"It has the ability to easily change any variable in our research."

"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."

"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."

"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."

"One feature I found very valuable was the analysis of variance (ANOVA)."

"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."

More IBM SPSS Statistics pros

Cons

"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."

"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."

"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."

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

"Requires more development."

"Customer support is hard to contact."

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

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

More IBM SPSS Modeler cons

"In some cases, the product takes time to load a large dataset. They could improve this particular area."

"This solution is not suitable for use with Big Data."

"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."

"The design of the experience can be improved."

"The technical support should be improved."

"There is a learning curve; it's not very steep, but there is one."

"The product should provide more ways to import data and export results that are user-friendly for high-level executives."

"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."

More IBM SPSS Statistics cons

Pricing and Cost Advice

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

"It is an expensive product."

"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."

"$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."

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

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

More IBM SPSS Modeler pricing and cost advice

"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 affordable training for new staff members."

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

"The price of IBM SPSS Statistics could improve."

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

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

"The price of this solution is a little bit high, which was a problem for my company."

More IBM SPSS Statistics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Educational Organization

11%

University

Computer Software Company

Financial Services Firm

17%

Computer Software Company

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

See all answers

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...

See all answers

What needs improvement with IBM SPSS Modeler?

See all answers

What do you like most about IBM SPSS Statistics?

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

See all answers

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

SPSS is horrendously expensiver. On a laptop Knime is free of charge (Windows, Mac, Linux)

See all answers

What needs improvement with IBM SPSS Statistics?

Better guidance both in producing programs and interpreting their output.

See all answers

Comparisons

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Compared 26% of the time

KNIME vs IBM SPSS Modeler

Compared 16% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 8% of the time

Alteryx vs IBM SPSS Modeler

Compared 5% of the time

Weka vs IBM SPSS Modeler

Compared 4% of the time

More IBM SPSS Modeler Competitors

Weka vs IBM SPSS Statistics

Compared 9% of the time

TIBCO Statistica vs IBM SPSS Statistics

Compared 9% of the time

Alteryx vs IBM SPSS Statistics

Compared 7% of the time

Amazon SageMaker vs IBM SPSS Statistics

Compared 6% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 5% of the time

More IBM SPSS Statistics Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

June 2025

Download IBM SPSS Modeler product report

Buyer's Guide

IBM SPSS Statistics

April 2025

Download IBM SPSS Statistics product report

Also Known As

SPSS Modeler

SPSS Statistics

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

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

Buyer's Guide

IBM SPSS Modeler vs. IBM SPSS Statistics

May 2025

Free Report: IBM SPSS Modeler vs. IBM SPSS Statistics

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