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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 6.8, while SAS is ranked #7 with an average rating of 9.0. IBM holds a 17.3% mindshare in DM, compared to SAS’s 4.3% 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
  • 1,040 Views
  • 854 Comparison Views
86% willing to recommend
SAS Enterprise Miner
Read 13 SAS Enterprise Miner reviews
  • 294 Views
  • 227 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: February 2025).
Buyer's Guide
IBM SPSS Modeler vs. SAS Enterprise Miner
February 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
13th
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 April 2025, in the Data Mining category, the mindshare of IBM SPSS Modeler is 17.3%, up from 16.4% compared to the previous year. The mindshare of SAS Enterprise Miner is 4.3%, down from 4.7% 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
reviewer1447110 - PeerSpot reviewer
Good technical support but too complex and not open-source
We're using Enterprise Guide simultaneously with Enterprise Miner. From my perspective, I believe that open-source analytics tools are closer to fitting our needs. We prefer open-source options like Anaconda. They offer good support and features. Anaconda also integrates well with Jupyter NET, which is important for us. Overall, on a scale from one to ten, I'd rate the solution at a five. If there were better protocols and wasn't as complex as it is, I'd rate it a bit higher.
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."
"We use analytics with the visual modeling capability to leverage productivity improvements."
"It is pretty scalable."
"We have been able to do some predictive modeling with it"
"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."
"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."
"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
More IBM SPSS Modeler pros
"The technical support is very good."
"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."
"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."
"The solution is very good for data mining or any mining issues."
"Good data management and analytics."
"he solution is scalable."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The most valuable feature is the decision tree creation."
More SAS Enterprise Miner pros
 

Cons

"C&DS will not meet our scalability needs."
"​I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities.​"
"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."
"Dimension reduction should be classified separately."
"The challenge for the very technical data scientists: It is constraining for them.​"
"It's not as user friendly as it could be."
"It is not integrated with Qlik, Tableau, and Power BI."
"Requires more development."
More IBM SPSS Modeler cons
"The ease of use can be improved. When you are new it seems a bit complex."
"Virtualization could be much better."
"The visualization of the models is not very attractive, so the graphics should be improved."
"The product must provide better integration with cloud-native technologies."
"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."
"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."
"Technical support could be improved."
More SAS Enterprise Miner cons
 

Pricing and Cost Advice

"This tool, being an IBM product, is pretty expensive."
"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."
"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."
"It is an expensive product."
"$5,000 annually."
"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."
More IBM SPSS Modeler pricing and cost advice
"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."
"This solution is for large corporations because not everybody can afford it."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Educational Organization
12%
University
9%
Computer Software Company
9%
Financial Services Firm
26%
University
12%
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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Microsoft Power BI vs IBM SPSS Modeler
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IBM SPSS Statistics vs IBM SPSS Modeler Logo
IBM SPSS Statistics vs IBM SPSS Modeler
Compared 20% of the time
KNIME vs IBM SPSS Modeler Logo
KNIME vs IBM SPSS Modeler
Compared 17% of the time
Altair RapidMiner vs IBM SPSS Modeler Logo
Altair RapidMiner vs IBM SPSS Modeler
Compared 7% of the time
Weka vs IBM SPSS Modeler Logo
Weka vs IBM SPSS Modeler
Compared 4% of the time
More IBM SPSS Modeler Competitors
SAS Visual Analytics vs SAS Enterprise Miner Logo
SAS Visual Analytics vs SAS Enterprise Miner
Compared 34% of the time
KNIME vs SAS Enterprise Miner Logo
KNIME vs SAS Enterprise Miner
Compared 25% of the time
Altair RapidMiner vs SAS Enterprise Miner Logo
Altair RapidMiner vs SAS Enterprise Miner
Compared 17% of the time
More SAS Enterprise Miner Competitors
 

Product Reports

Buyer's Guide
IBM SPSS Modeler
March 2025
IBM SPSS Modeler reportDownload IBM SPSS Modeler product report
Buyer's Guide
Data Mining
March 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
February 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: February 2025.
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