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 7.0, while IBM SPSS Statistics is ranked #3 with an average rating of 9.2. IBM SPSS Modeler holds a 17.9% mindshare in DM, compared to IBM SPSS Statistics’s 15.9% 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

2,280 Views
935 Comparison Views

86% willing to recommend

IBM SPSS Statistics

Read 39 IBM SPSS Statistics reviews

2,682 Views
992 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: July 2025).

Buyer's Guide

IBM SPSS Modeler vs. IBM SPSS Statistics

July 2025

Download the complete report

Helped 862,624 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

17th

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

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Mining category, the mindshare of IBM SPSS Modeler is 17.9%, up from 16.3% compared to the previous year. The mindshare of IBM SPSS Statistics is 15.9%, up from 13.4% 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

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

"It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."

"Our business units' capabilities with SPSS Modeler is high. They no longer waste time on modeling and algorithms, meaning they are not coding any more. For example, segmentation projects now take one to three months, rather than six months to a year, as before."

"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."

"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."

"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."

"It is pretty scalable."

"It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."

More IBM SPSS Modeler pros

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

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

"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."

"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."

"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."

"It is perfectly adequate if all you need are the results and not the trail of evidence."

"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."

"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

Cons

"I can say the solution is outdated."

"Customer support is hard to contact."

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

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

"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."

"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."

"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."

"Dimension reduction should be classified separately."

More IBM SPSS Modeler cons

"The solution needs to improve forecasting using time series analysis."

"I think the visualization and charting should be changed and made easier and more effective."

"The design of the experience can be improved."

"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."

"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."

"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."

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

"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."

More IBM SPSS Statistics cons

Pricing and Cost Advice

"It is an expensive product."

"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."

"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 is a huge increase to time savings."

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

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

More IBM SPSS Modeler pricing and cost advice

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

"More affordable training for new staff members."

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

"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."

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

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

"While the pricing of the product may be higher, the accompanying service and features justify the investment."

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

More IBM SPSS Statistics pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

11%

Financial Services Firm

11%

Government

10%

University

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 25% of the time

KNIME vs IBM SPSS Modeler

Compared 15% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 7% of the time

Alteryx vs IBM SPSS Modeler

Compared 6% of the time

Weka vs IBM SPSS Modeler

Compared 4% of the time

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TIBCO Statistica vs IBM SPSS Statistics

Compared 9% of the time

Weka 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

Google Cloud Datalab vs IBM SPSS Statistics

Compared 5% of the time

More IBM SPSS Statistics Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

July 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

July 2025

Free Report: IBM SPSS Modeler vs. IBM SPSS Statistics

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