Try our new research platform with insights from 80,000+ expert users

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

Download the report
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.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed IBM SPSS Modeler vs. SAS Enterprise Miner Report (Updated: April 2025).
Buyer's Guide
IBM SPSS Modeler vs. SAS Enterprise Miner
April 2025
Download the complete report
Helped 848,716 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
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
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

"Some basic form of feature engineering for classification models. This really quickens the model development process."
"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."
"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."
"We have a local representative who specializes in SPSS. He will help us do the PoC."
"It scales. I have not run into any challenges where it will not perform.​"
"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."
"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’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it"
More IBM SPSS Modeler pros
"Good data management and analytics."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The solution is very good for data mining or any mining issues."
"The most valuable feature is the decision tree creation."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"he solution is scalable."
"I like the way the product visually shows the data pipeline."
"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."
More SAS Enterprise Miner pros
 

Cons

"The time series should be improved."
"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."
"C&DS will not meet our scalability needs."
"I would like see more programming languages added, like MATLAB. That would be better."
"The product does not have a search function for tags."
"Unstructured data is not appropriate for SPSS Modeler."
"It would be good if IBM added help resources to the interface."
"I can say the solution is outdated."
More IBM SPSS Modeler cons
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"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."
"The initial setup is challenging if doing it for the first time."
"Virtualization could be much better."
"The product must provide better integration with cloud-native technologies."
"Technical support could be improved."
"The ease of use can be improved. When you are new it seems a bit complex."
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."
"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."
"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."
"I am using the free version of IBM SPSS Modeler, it is the educational edition version."
"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 an expensive product."
"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
"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."
report
See which vendors are best for you
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
See recommendations
848,716 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Educational Organization
12%
University
9%
Computer Software Company
8%
Financial Services Firm
24%
University
13%
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

Microsoft Power BI vs IBM SPSS Modeler Logo
Microsoft Power BI vs IBM SPSS Modeler
Compared 28% of the time
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 16% of the time
Altair RapidMiner vs IBM SPSS Modeler Logo
Altair RapidMiner vs IBM SPSS Modeler
Compared 7% of the time
Dataiku vs IBM SPSS Modeler Logo
Dataiku vs IBM SPSS Modeler
Compared 3% of the time
More IBM SPSS Modeler Competitors
SAS Visual Analytics vs SAS Enterprise Miner Logo
SAS Visual Analytics vs SAS Enterprise Miner
Compared 33% of the time
KNIME vs SAS Enterprise Miner Logo
KNIME vs SAS Enterprise Miner
Compared 24% of the time
Altair RapidMiner vs SAS Enterprise Miner Logo
Altair RapidMiner vs SAS Enterprise Miner
Compared 19% of the time
More SAS Enterprise Miner Competitors
 

Product Reports

Buyer's Guide
IBM SPSS Modeler
April 2025
IBM SPSS Modeler reportDownload IBM SPSS Modeler product report
Buyer's Guide
Data Mining
April 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
April 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: April 2025.
DOWNLOAD NOW
848,716 professionals have used our research since 2012.
See our IBM SPSS Modeler vs. SAS Enterprise Miner report.
See our list of best Data Mining vendors and best Data Science Platforms vendors.

We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.