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 8.5, while SAS is ranked #7 with an average rating of 9.0. IBM holds a 16.3% mindshare in DM, compared to SAS’s 4.4% 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 38 IBM SPSS Statistics reviews

1,094 Views
742 Comparison Views

88% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

306 Views
250 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: February 2025).

Buyer's Guide

IBM SPSS Statistics 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 Statistics

Ranking in Data Mining

3rd

Ranking in Data Science Platforms

9th

Average Rating

8.0

Reviews Sentiment

6.9

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 February 2025, in the Data Mining category, the mindshare of IBM SPSS Statistics is 16.3%, up from 12.5% compared to the previous year. The mindshare of SAS Enterprise Miner is 4.4%, down from 4.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining

Featured Reviews

Md Masudul Hassan

Agricultural Finance and IT Researcher at Sher-e-Bangla Agricultural University

Comprehensive data analysis capabilities with a user-friendly interface, providing an efficient and reliable platform for researchers and analysts

I believe that offering short-term SPSS licenses, perhaps when customer sourcing is available, could make it more affordable. These licenses shouldn't include features tailored for universities or large sales organizations. Instead, they could offer discounts or additional facilities for smaller entities to access the software. In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options. For example, offering basic features to the first hundred users can help them become familiar with the software and its capabilities. This approach encourages users to upgrade to higher tiers as they become more experienced and require additional functionality.

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reviewer1447110

Senior Systems Engineer at a financial services firm with 10,001+ employees

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.

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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

"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."

"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."

"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."

"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."

"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."

"The most valuable feature is its robust statistical analysis capabilities."

"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."

"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."

More IBM SPSS Statistics pros

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

"he solution is scalable."

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

"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."

"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 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

"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."

"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."

"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."

"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."

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

"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."

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

More IBM SPSS Statistics cons

"Technical support could be improved."

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

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

"Virtualization could be much better."

"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."

"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 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."

More SAS Enterprise Miner cons

Pricing and Cost Advice

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

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

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

"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."

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

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

"The price of IBM SPSS Statistics could improve."

"It's quite expensive, but they do a special deal for universities."

More IBM SPSS Statistics pricing and cost advice

"The solution must improve its licensing models."

"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."

"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

17%

Computer Software Company

University

Manufacturing Company

Financial Services Firm

27%

University

11%

Manufacturing Company

Educational Organization

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.

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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 20% of the time

TIBCO Statistica vs IBM SPSS Statistics

Compared 12% of the time

Alteryx vs IBM SPSS Statistics

Compared 10% of the time

Weka vs IBM SPSS Statistics

Compared 10% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 9% of the time

More IBM SPSS Statistics Competitors

SAS Visual Analytics vs SAS Enterprise Miner

Compared 36% of the time

KNIME vs SAS Enterprise Miner

Compared 22% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 21% of the time

RapidMiner vs SAS Enterprise Miner

Compared 12% 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 Statistics

February 2025

Download IBM SPSS Statistics product report

Buyer's Guide

Data Mining

February 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

February 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: February 2025.

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