IBM SPSS Statistics vs SAS Enterprise Miner comparison

IBM and SAS are both solutions in the Data Mining category. IBM is ranked #3 with an average rating of 9.2, while SAS is ranked #7 with an average rating of 9.0. IBM holds a 15.9% mindshare in DM, compared to SAS’s 4.7% mindshare. Additionally, 88% of IBM users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

IBM SPSS Statistics

Read 39 IBM SPSS Statistics reviews

2,682 Views
992 Comparison Views

88% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

842 Views
278 Comparison Views

93% willing to recommend

IBM SPSS Statistics

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

SAS Enterprise Miner and IBM SPSS Statistics are competing products in the analytics market. SAS Enterprise Miner seems to have the upper hand in pricing and support, whereas IBM SPSS Statistics often stands out for its comprehensive features.

Features: SAS Enterprise Miner offers advanced data mining tools, including predictive modeling and text analytics, and flexible use of SAS code. IBM SPSS Statistics provides strong statistical analysis capabilities, extensive data manipulation options, and a user-friendly interface with drag-and-drop features.

Room for Improvement: SAS Enterprise Miner could enhance its user interface and further simplify initial setup. It might also expand its statistical analysis capabilities. IBM SPSS Statistics could improve its integration with other platforms and offer more robust data mining features. It could also streamline its complex statistical modeling processes.

Ease of Deployment and Customer Service: SAS Enterprise Miner provides flexible deployment options with extensive customer support channels tailored for organizations needing robust support services. IBM SPSS Statistics offers a straightforward deployment process with reliable documentation and responsive support services.

Pricing and ROI: SAS Enterprise Miner generally has a higher setup cost but offers potentially better ROI for companies focused on intense data mining. IBM SPSS Statistics is typically more cost-effective for users seeking robust statistical capabilities without extensive investment, offering better return expectations for statistical analysis priorities.

To learn more, read our detailed IBM SPSS Statistics vs. SAS Enterprise Miner Report (Updated: July 2025).

Buyer's Guide

IBM SPSS Statistics vs. SAS Enterprise Miner

July 2025

Download the complete report

Helped 862,452 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 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

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 July 2025, in the Data Mining category, the mindshare of IBM SPSS Statistics is 15.9%, up from 13.4% 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

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.

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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

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

"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."

"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."

"Most of the product features are good but I particularly like the linear regression analysis."

"It offers very good visualization."

"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."

"One feature I found very valuable was the analysis of variance (ANOVA)."

"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."

More IBM SPSS Statistics pros

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

"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."

"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 able to handle quite large amounts of data beautifully."

"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 most valuable feature is the decision tree creation."

"The technical support is very good."

"Good data management and analytics."

More SAS Enterprise Miner pros

Cons

"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."

"The statistics should be more self-explanatory with detailed automated reports."

"I recently moved away from SPSS and started using KNIME since it is particularly easier for students."

"The reports could be better."

"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."

"There is a learning curve; it's not very steep, but there is one."

"The technical support should be improved."

"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."

More IBM SPSS Statistics cons

"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."

"Virtualization could be much better."

"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."

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

"The user interface of the solution needs improvement. It needs to be more visual."

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

More SAS Enterprise Miner cons

Pricing and Cost Advice

"The price of this solution is a little bit high, which was a problem for my company."

"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."

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

"The price of IBM SPSS Statistics could improve."

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

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

"More affordable training for new staff members."

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

More IBM SPSS Statistics 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

18%

Computer Software Company

Manufacturing Company

University

Financial Services Firm

28%

University

11%

Educational Organization

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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

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

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 25% of the time

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

More IBM SPSS Statistics Competitors

KNIME vs SAS Enterprise Miner

Compared 25% of the time

SAS Visual Analytics vs SAS Enterprise Miner

Compared 21% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 19% of the time

Altair RapidMiner vs SAS Enterprise Miner

Compared 19% of the time

TIBCO Data Science vs SAS Enterprise Miner

Compared 8% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

April 2025

Download IBM SPSS Statistics product report

Buyer's Guide

Data Mining

June 2025

Download SAS Enterprise Miner product report

Also Known As

SPSS Statistics

Enterprise Miner

Overview

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

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

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

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Buyer's Guide

IBM SPSS Statistics vs. SAS Enterprise Miner

July 2025

Free Report: IBM SPSS Statistics vs. SAS Enterprise Miner

Find out what your peers are saying about IBM SPSS Statistics vs. SAS Enterprise Miner and other solutions. Updated: July 2025.

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