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 17.6% mindshare in DM, compared to SAS’s 4.2% 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

999 Views
817 Comparison Views

86% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

285 Views
216 Comparison Views

93% willing to recommend

IBM SPSS Modeler

SAS Enterprise Miner

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.

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

Download the complete report

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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

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

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Data Mining category, the mindshare of IBM SPSS Modeler is 17.6%, up from 16.3% compared to the previous year. The mindshare of SAS Enterprise Miner is 4.2%, down from 4.5% 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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reviewer1352853

Executive Head of analytics at a retailer with 5,001-10,000 employees

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…

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Quotes from Members

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

Pros

"It works fine. I have not had any stability issues; it is always up."

"Compared to other tools, the product works much easier to analyze data without coding."

"The quality is very good."

"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."

"The visual modeling capability is one of its attractive features."

"Very good data aggregation."

"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."

"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."

More IBM SPSS Modeler pros

"The solution is very good for data mining or any mining issues."

"he solution is scalable."

"The solution is able to handle quite large amounts of data beautifully."

"Good data management and analytics."

"The most valuable feature is the decision tree creation."

"I like the way the product visually shows the data pipeline."

"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 setup is straightforward. Deployment doesn't take more than 30 minutes."

More SAS Enterprise Miner pros

Cons

"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."

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

"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."

"C&DS will not meet our scalability needs."

"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."

"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."

"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."

"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."

More IBM SPSS Modeler cons

"The solution is much more complex than other options."

"The initial setup is challenging if doing it for the first time."

"The visualization of the models is not very attractive, so the graphics should be improved."

"Technical support could be improved."

"The product must provide better integration with cloud-native technologies."

"The ease of use can be improved. When you are new it seems a bit complex."

"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

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

"$5,000 annually."

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

"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."

"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 got us a good amount of money with quick and efficient modeling."

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

"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."

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

11%

University

Computer Software Company

Financial Services Firm

25%

University

11%

Educational Organization

10%

Manufacturing Company

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 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

Compared 27% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 20% of the time

KNIME vs IBM SPSS Modeler

Compared 15% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 8% of the time

Weka vs IBM SPSS Modeler

Compared 4% of the time

More IBM SPSS Modeler Competitors

SAS Visual Analytics vs SAS Enterprise Miner

Compared 29% of the time

KNIME vs SAS Enterprise Miner

Compared 23% of the time

Altair RapidMiner vs SAS Enterprise Miner

Compared 17% of the time

Microsoft Azure Machine Learning Studio vs SAS Enterprise Miner

Compared 9% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

May 2025

Download IBM SPSS Modeler product report

Buyer's Guide

Data Mining

May 2025

Download 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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