Altair RapidMiner vs IBM SPSS Modeler vs SAS Enterprise Miner comparison

Altair and IBM are both solutions in the Data Science Platforms category. Altair is ranked #8 with an average rating of 8.3, while IBM is ranked #12 with an average rating of 8.0. Altair holds a 4.2% mindshare in Data Science Platforms, compared to IBM’s 3.5% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

4,558 Views
3,874 Comparison Views

96% willing to recommend

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,814 Views
2,082 Comparison Views

86% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,291 Views
1,007 Comparison Views

93% willing to recommend

Altair RapidMiner

IBM SPSS Modeler

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Altair RapidMiner, IBM SPSS Modeler, and SAS Enterprise Miner based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: March 2026).

Buyer's Guide

Data Science Platforms

March 2026

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Helped 885,667 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:

Mindshare comparison

As of April 2026, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 4.2%, down from 7.8% compared to the previous year. The mindshare of IBM SPSS Modeler is 3.5%, up from 2.4% compared to the previous year. The mindshare of SAS Enterprise Miner is 1.7%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Altair RapidMiner	4.2%
IBM SPSS Modeler	3.5%
SAS Enterprise Miner	1.7%
Other	90.6%

Data Science Platforms

Featured Reviews

Sachin Jagtap

Senior Manager, Digitalization of Supply Chain& Traceability at a non-profit with 501-1,000 employees

Gain insights and make predictions with intuitive tools and seamless data preparation

Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool. It offers flexibility, allowing for extensive data preparation and initial insights, and facilitates building a chain of analysis. Additionally, it includes machine learning and AI tools to work on complex datasets. It is considered a stable product with a long-standing presence.

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Prof. Dr. Rudolf Bisping

Business Owner at SASS GmbH

Support and flexibility enable effective project initiation and meet customer needs but deployment requires enhancement

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult and expensive with IBM SPSS Modeler. With MATLAB, there is no problem. I have a solution, and then I convert my MATLAB solution to C programming language. This I can deploy, and I can check it, and it is MISRA compatible. It is very easy to deploy it, to go from MATLAB to C or C++, which is actually needed in the car industry. In the car industry, they want to have it in the hardware. You cannot put MATLAB or IBM SPSS Modeler in the hardware of a car, but with C, there is no problem with a microcontroller. They can shoot it into the microcontroller, and I can check it with Polyspace, and it is MISRA compatible, which is an industrial standard. There is nothing similar in IBM SPSS Modeler. I made solutions with IBM SPSS Modeler, and then the customer said they wanted to make a production out of it, and it was not possible. I stopped with IBM SPSS Modeler 18. It is now 18.6 from what I know at the moment. I do not believe that there is a possibility to design a graphic user interface with it. It is itself a graphic user interface, where you put all sorts of little icons into the display.

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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

"One of the most valuable features is the built-in data tuning feature. Once the model is built, we often struggle to increase its accuracy, but RapidMiner allows us to fine-tune variables. For Example, when working on a project, we can adjust the number of nodes or the depth of trees to see how accuracy changes. This flexibility lets us achieve higher accuracy compared to traditional automated machine-learning models"

"RapidMiner has moved companies toward being more data-driven."

"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."

"The most valuable feature is what the product sets out to do, which is extracting information and data."

"Altair RapidMiner is appreciated for its ease of use and the CRISP data mining model it supports, covering steps like data preparation, data understanding, and business understanding."

"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."

"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language."

"Scalability is not really a concern with RapidMiner; it scales very well and can be used in global implementations."

More Altair RapidMiner pros

"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."

"IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level."

"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."

"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."

"It is pretty scalable."

"We have been able to do some predictive modeling with it"

"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"

"It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."

More IBM SPSS Modeler pros

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

"Performance is excellent."

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

"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."

"Good data management and analytics."

"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."

"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, and the results and the ensembles are fantastic."

More SAS Enterprise Miner pros

Cons

"I think that they should make deep learning models easier."

"Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning."

"The product must provide data-cleaning features."

"The price of this solution should be improved."

"The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade."

"Improve the online data services."

"In the Mexican or Latin American market, it's kind of pricey."

"Improve the online data services."

More Altair RapidMiner cons

"The time series should be improved."

"The integration with sources and visualisation needs some improvement. The scalability needs improvement."

"The forecasting could be a bit easier."

"This is an expensive predicament software solution."

"It would be beneficial if the tool would include more well-known machine learning algorithms."

"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."

"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."

"It would be good if IBM added help resources to the interface."

More IBM SPSS Modeler cons

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

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

"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."

"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."

"Price of the product"

More SAS Enterprise Miner cons

Pricing and Cost Advice

"Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."

"I used an educational license for this solution, which is available free of charge."

"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

"For the university, the cost of the solution is free for the students and teachers."

"I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment."

"It is an expensive product."

"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."

"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."

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

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

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

"$5,000 annually."

More IBM SPSS Modeler pricing and cost advice

"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."

"The solution must improve its licensing models."

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

University

11%

Computer Software Company

Educational Organization

Government

11%

Financial Services Firm

University

Outsourcing Company

Financial Services Firm

17%

Construction Company

13%

Educational Organization

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	32

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

Questions from the Community

What do you like most about RapidMiner?

RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. I...

See all answers

What is your experience regarding pricing and costs for RapidMiner?

I started with a trial version. We are likely to purchase a license, which may offer additional features.

See all answers

What needs improvement with RapidMiner?

Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities l...

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 bud...

See all answers

What needs improvement with IBM SPSS Modeler?

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult ...

See all answers

What is your primary use case for IBM SPSS Modeler?

I have been using IBM SPSS Modeler for a long time. I am using IBM SPSS Modeler mainly for ETL. Sometimes I use it to...

See all answers

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Comparisons

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Compared 17% of the time

Dataiku vs Altair RapidMiner

Compared 8% of the time

Databricks vs Altair RapidMiner

Compared 7% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

TIBCO Statistica vs Altair RapidMiner

Compared 2% of the time

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IBM SPSS Statistics vs IBM SPSS Modeler

Compared 42% of the time

KNIME Business Hub vs IBM SPSS Modeler

Compared 5% of the time

Microsoft Power BI vs IBM SPSS Modeler

Compared 4% of the time

Weka vs IBM SPSS Modeler

Compared 3% of the time

MathWorks Matlab vs IBM SPSS Modeler

Compared 3% of the time

More IBM SPSS Modeler Competitors

KNIME Business Hub vs SAS Enterprise Miner

Compared 14% of the time

Azure Data Lake Analytics vs SAS Enterprise Miner

Compared 10% of the time

SAS Visual Analytics vs SAS Enterprise Miner

Compared 5% of the time

SAS Analytics vs SAS Enterprise Miner

Compared 5% of the time

Databricks vs SAS Enterprise Miner

Compared 5% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

March 2026

Download Altair RapidMiner product report

Buyer's Guide

IBM SPSS Modeler

March 2026

Download IBM SPSS Modeler product report

Buyer's Guide

Data Mining

March 2026

Download SAS Enterprise Miner product report

Also Known As

No data available

SPSS Modeler

Enterprise Miner

Overview

Altair RapidMiner is a GUI-driven, code-free data science tool ideal for users seeking efficiency and user-friendliness, featuring automated data cleaning and versatile model support for diverse tasks.

Altair RapidMiner offers an accessible platform with drag-and-drop functionality, supporting multiple file formats to streamline data science workflows. It enables quick prototyping and integrates with APIs, Python, and R, enhancing user flexibility. Comprehensive documentation and tutorials support learning, while features like model fine-tuning and predictive analytics cater to advanced analysis. Enhancements in automation and deep learning, alongside improvements in data service integration and metadata handling, remain a focus for development.

What are the key features of Altair RapidMiner?

Code-Free Interface: Simplifies data science with GUI support.
Drag-and-Drop Functionality: Streamlines process setup.
Automated Data Cleaning: Saves time in data preparation.
Machine Learning Algorithms: Supports a wide range for various tasks.
API & Python/R Integration: Enhances flexibility for data projects.
Tutorials & Documentation: Provides robust learning resources.

What benefits and ROI can users expect?

Efficiency: Reduces time spent on data processing.
Flexibility: Offers adaptable integration options.
Scalability: Suited for both educational and business environments.
Usability: User-friendly interface encourages wider adoption.
Predictive Capabilities: Empowers advanced business analytics.

Industries such as telecom and finance utilize Altair RapidMiner for tasks like data preparation and forecasting. Universities employ it for education and research projects, while businesses apply it to areas such as financial crime management and market analysis. It assists companies in predicting customer behavior and analyzing pharmaceutical data, allowing seamless integration with other systems.

Altair

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

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

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

Data Science Platforms

March 2026

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