IBM SPSS Statistics vs SAS Enterprise Miner comparison

IBM and SAS are both solutions in the Data Mining category. IBM is ranked #2 with an average rating of 9.0, while SAS is ranked #7. IBM holds a 17.2% mindshare in DM, compared to SAS’s 6.0% mindshare. Additionally, 89% of IBM users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

IBM SPSS Statistics

Read 40 IBM SPSS Statistics reviews

4,071 Views
1,669 Comparison Views

89% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,532 Views
506 Comparison Views

93% willing to recommend

IBM SPSS Statistics

SAS Enterprise Miner

Comparison Buyer's Guide

Download the report

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: April 2026).

Buyer's Guide

IBM SPSS Statistics vs. SAS Enterprise Miner

April 2026

Download the complete report

Helped 886,858 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

2nd

Ranking in Data Science Platforms

12th

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

AI Data Analysis (17th), AI Research (4th)

SAS Enterprise Miner

Ranking in Data Mining

7th

Ranking in Data Science Platforms

23rd

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Data Mining category, the mindshare of IBM SPSS Statistics is 17.2%, up from 16.6% compared to the previous year. The mindshare of SAS Enterprise Miner is 6.0%, up from 4.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
IBM SPSS Statistics	17.2%
SAS Enterprise Miner	6.0%
Other	76.8%

Data Mining

Featured Reviews

EzzAbdelfattah

Associate Professor Of Statistics at a university with 10,001+ employees

Advanced predictive analytics have supported my research and student projects across many methods

The only function I may need to be added or hope to be added to IBM SPSS Statistics is how to treat unstructured data. This mainly exists with IBM SPSS Modeler, but I do not think it is able to treat something like videos and similar content unless you are using languages like Python inside IBM SPSS Modeler or inside IBM SPSS Statistics. For the menu itself, for the selection, it does not exist. Thinking of the future, I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.

Read full review

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…

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 is perfectly adequate if all you need are the results and not the trail of evidence."

"It has the ability to easily change any variable in our research."

"The solution is very stable."

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

"The most valuable feature of IBM SPSS Statistics is all the functionality it provides."

"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing, and whatever data you want to analyze can be handled with SPSS."

"I think in the future this kind of algorithm will be used widely by people to predict many things and to improve the performance of businesses and individuals."

"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."

More IBM SPSS Statistics pros

"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."

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

"Technical support has been good, and when I called them at the start of using the product with some issues they were very helpful."

"Performance is excellent."

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

"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."

"he solution is scalable."

More SAS Enterprise Miner pros

Cons

"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."

"It could provide even more in the way of automation as there are many opportunities."

"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."

"This solution is not suitable for use with Big Data."

"The technical support is not very useful. You can find help on the internet but if you really have a problem then it can take a while before you get a solution."

"In comparing the price of other products, SPSS Statistics is too expensive."

"IBM SPSS Statistics is mostly working with structured data. However, if you are having unstructured data, IBM SPSS Statistics is not able up to now to work with it."

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

More IBM SPSS Statistics cons

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

"Price of the product"

"The preparation of both the mining and modeling process could be improved. The solution requires data and will reflect data, but the preparation of the data is not useful for end-users; we ended up having to do the preparation in another tool."

"Plus it is prohibitively expensive and is not available with perpetual licensing."

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

"The solution is quite expensive. The pricing is too high."

"Virtualization could be much better."

"The stability isn't perfect. We have issues with accuracy in some AI forecasting areas, and the accuracy is not as good as the clients need it to be."

More SAS Enterprise Miner cons

Pricing and Cost Advice

"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."

"More affordable training for new staff members."

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

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

"While the pricing of the product may be higher, the accompanying service and features justify the investment."

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

"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."

More IBM SPSS Statistics pricing and cost advice

"The solution must improve its licensing models."

"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."

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

886,858 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

Computer Software Company

University

Financial Services Firm

19%

Construction Company

12%

Educational Organization

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	6
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	7

Questions from the Community

What is your experience regarding pricing and costs for IBM SPSS Statistics?

I think the price of the solution is very reasonable. The cost depends; you have the option for subscription or you can purchase the license. Most of our customers are paying every year for a type ...

See all answers

What needs improvement with IBM SPSS Statistics?

See all answers

What is your primary use case for IBM SPSS Statistics?

I do use IBM SPSS Statistics, and even my students are using it for their projects and reports while working on PhD or Master's degrees. They are analyzing data using it. In comparison with other s...

See all answers

Ask a question

Earn 20 points

Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 33% of the time

Databricks vs IBM SPSS Statistics

Compared 6% of the time

KNIME Business Hub vs IBM SPSS Statistics

Compared 4% of the time

Julius AI vs IBM SPSS Statistics

Compared 3% of the time

Dataiku vs IBM SPSS Statistics

Compared 2% of the time

More IBM SPSS Statistics Competitors

KNIME Business Hub vs SAS Enterprise Miner

Compared 12% of the time

Azure Data Lake Analytics vs SAS Enterprise Miner

Compared 8% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 7% of the time

Altair RapidMiner vs SAS Enterprise Miner

Compared 5% of the time

SAS Visual Analytics vs SAS Enterprise Miner

Compared 5% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

April 2026

Download IBM SPSS Statistics product report

Buyer's Guide

Data Mining

March 2026

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

April 2026

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: April 2026.

DOWNLOAD NOW

886,858 professionals have used our research since 2012.

See our IBM SPSS Statistics 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.