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IBM SPSS Modeler vs SAS Enterprise Miner comparison

IBM and SAS are both solutions in the Data Mining category. IBM is ranked #4 with an average rating of 7.0, while SAS is ranked #7 with an average rating of 9.0. IBM holds a 17.9% mindshare in DM, compared to SAS’s 4.7% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.
IBM SPSS Modeler
Read 39 IBM SPSS Modeler reviews
  • 935 Views
  • 758 Comparison Views
86% willing to recommend
SAS Enterprise Miner
Read 13 SAS Enterprise Miner reviews
  • 278 Views
  • 196 Comparison Views
93% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

SAS Enterprise Miner and IBM SPSS Modeler are key players in predictive analytics. IBM SPSS Modeler gains an edge with its extensive feature set and intuitive use, whereas SAS Enterprise Miner excels in data management.

Features: SAS Enterprise Miner features robust data handling, intricate data preparation, and integration with SAS programming for enhanced flexibility. IBM SPSS Modeler offers intuitive visual modeling, an extensive algorithm library, and easy integration with third-party tools like Python and R for streamlined tasks.

Room for Improvement: SAS Enterprise Miner could enhance its response time in customer support, improve its initial setup complexity, and expand its cloud capabilities. IBM SPSS Modeler can improve on its heavy initial investment requirement, refine its model customization features, and further develop its visual modeling strength compared to standalone visualization tools.

Ease of Deployment and Customer Service: SAS Enterprise Miner offers flexible deployment options, both on-premises and cloud-based, with generally reliable customer support. IBM SPSS Modeler provides streamlined cloud integration and proactive customer service that is well-received by users.

Pricing and ROI: SAS Enterprise Miner demands a substantial initial investment yet promises high ROI for large-scale projects. IBM SPSS Modeler, while also costly, often delivers faster ROI due to its user-friendly implementation and operational versatility. Pricing structures should be considered based on specific business needs.

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To learn more, read our detailed IBM SPSS Modeler vs. SAS Enterprise Miner Report (Updated: May 2025).
Buyer's Guide
IBM SPSS Modeler vs. SAS Enterprise Miner
May 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 Mining
4th
Ranking in Data Science Platforms
17th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
39
Ranking in other categories
No ranking in other categories
SAS Enterprise Miner
Ranking in Data Mining
7th
Ranking in Data Science Platforms
18th
Average Rating
7.6
Reviews Sentiment
6.2
Number of Reviews
13
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 SAS Enterprise Miner is 4.7%, up from 4.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining
 

Featured Reviews

PeterHuo - PeerSpot reviewer
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.
Read full review
reviewer1352853 - PeerSpot reviewer
A stable product that is easy to deploy and can be used for structured and unstructured data mining
We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…
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

"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"The supervised models are valuable. It is also very organized and easy to use."
"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."
"Very good data aggregation."
"The quality is very good."
"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."
"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."
"I was familiar with using IBM SPSS Modeler separately in the private sector before that. It's a good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data."
More IBM SPSS Modeler pros
"he solution is scalable."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"Good data management and analytics."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"I like the way the product visually shows the data pipeline."
"The technical support is very good."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
More SAS Enterprise Miner pros
 

Cons

"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"The challenge for the very technical data scientists: It is constraining for them.​"
"C&DS will not meet our scalability needs."
"I think mapping for geographic data would also be a really great thing to be able to use."
More IBM SPSS Modeler cons
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"The visualization of the models is not very attractive, so the graphics should be improved."
"Virtualization could be much better."
"The product must provide better integration with cloud-native technologies."
"The initial setup is challenging if doing it for the first time."
"The solution is much more complex than other options."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"The user interface of the solution needs improvement. It needs to be more visual."
More SAS Enterprise Miner cons
 

Pricing and Cost Advice

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."
"I am using the free version of IBM SPSS Modeler, it is the educational edition version."
"If you are in a university and the license is free then you can use the tool without any charges, which is good."
"It is an expensive product."
"$5,000 annually."
"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."
"It is a huge increase to time savings."
More IBM SPSS Modeler pricing and cost advice
"This solution is for large corporations because not everybody can afford it."
"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
"The solution must improve its licensing models."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Educational Organization
10%
Government
9%
University
9%
Financial Services Firm
28%
University
10%
Educational Organization
9%
Manufacturing Company
8%
 

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?
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 performanc...
See all answers
What do you like most about SAS Enterprise Miner?
I like the way the product visually shows the data pipeline.
See all answers
What is your experience regarding pricing and costs for SAS Enterprise Miner?
The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a subset of the functionality available according to our license. I rate the pric...
See all answers
What needs improvement with SAS Enterprise Miner?
The product must provide better integration with cloud-native technologies.
See all answers
 

Comparisons

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Compared 22% of the time
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KNIME vs IBM SPSS Modeler
Compared 15% of the time
Altair RapidMiner vs IBM SPSS Modeler Logo
Altair RapidMiner vs IBM SPSS Modeler
Compared 8% of the time
SAS Visual Analytics vs IBM SPSS Modeler Logo
SAS Visual Analytics vs IBM SPSS Modeler
Compared 3% of the time
More IBM SPSS Modeler Competitors
KNIME vs SAS Enterprise Miner Logo
KNIME vs SAS Enterprise Miner
Compared 27% of the time
SAS Visual Analytics vs SAS Enterprise Miner Logo
SAS Visual Analytics vs SAS Enterprise Miner
Compared 22% of the time
Altair RapidMiner vs SAS Enterprise Miner Logo
Altair RapidMiner vs SAS Enterprise Miner
Compared 21% of the time
MathWorks Matlab vs SAS Enterprise Miner Logo
MathWorks Matlab vs SAS Enterprise Miner
Compared 9% of the time
More SAS Enterprise Miner Competitors
 

Product Reports

Buyer's Guide
IBM SPSS Modeler
June 2025
IBM SPSS Modeler reportDownload IBM SPSS Modeler product report
Buyer's Guide
Data Mining
June 2025
SAS Enterprise Miner reportDownload SAS Enterprise Miner product report
 

Also Known As

SPSS Modeler
Enterprise Miner
 

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
SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
SAS
 

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
Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Buyer's Guide
IBM SPSS Modeler vs. SAS Enterprise Miner
May 2025
Free Report: IBM SPSS Modeler vs. SAS Enterprise Miner
Find out what your peers are saying about IBM SPSS Modeler vs. SAS Enterprise Miner and other solutions. Updated: May 2025.
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