Altair RapidMiner vs SAS Predictive Analytics comparison

Altair and SAS are both solutions in the Predictive Analytics category. Altair is ranked #3 with an average rating of 8.1, while SAS is ranked #9. Altair holds a 10.9% mindshare in PA, compared to SAS’s 3.7% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 100% of SAS users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

4,556 Views
592 Comparison Views

96% willing to recommend

SAS Predictive Analytics

Read 2 SAS Predictive Analytics reviews

226 Views
221 Comparison Views

100% willing to recommend

Altair RapidMiner

SAS Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 14, 2025

Altair RapidMiner and SAS Predictive Analytics are competing products in predictive analytics. SAS Predictive Analytics is generally perceived as the more superior product due to its comprehensive feature set, despite Altair RapidMiner being favored for pricing and customer support.

Features: Altair RapidMiner provides robust data manipulation tools, intuitive workflow design, and facilitates rapid model development. SAS Predictive Analytics offers advanced statistical techniques, an extensive library of machine learning algorithms, and supports a broader analytical toolkit for businesses.

Ease of Deployment and Customer Service: Altair RapidMiner is known for straightforward deployment and accessible support, reducing onboarding time. SAS Predictive Analytics has a more complex deployment process but provides a comprehensive support framework to help with implementation challenges.

Pricing and ROI: Altair RapidMiner is competitive in setup cost, an attractive option for budget-conscious businesses ensuring substantial ROI. Although SAS Predictive Analytics comes with a higher initial cost, its extensive capabilities offer significant long-term returns for in-depth analysis needs.

To learn more, read our detailed Altair RapidMiner vs. SAS Predictive Analytics Report (Updated: September 2025).

Buyer's Guide

Altair RapidMiner vs. SAS Predictive Analytics

September 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

Altair RapidMiner

Ranking in Predictive Analytics

3rd

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (7th)

SAS Predictive Analytics

Ranking in Predictive Analytics

9th

Average Rating

7.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 10.9%, down from 18.6% compared to the previous year. The mindshare of SAS Predictive Analytics is 3.7%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
Altair RapidMiner	10.9%
SAS Predictive Analytics	3.7%
Other	85.4%

Predictive Analytics

Featured Reviews

Rathnam Makam

Senior Technical Manager at a computer software company with 1,001-5,000 employees

A no-code tool that helps to build machine learning models

One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users. I haven't explored the tool's latest version, so I'm unaware of the current features. However, I think it would be beneficial if they could enhance capabilities related to deep neural networks, provide better support for generating UI, and allow for importing and utilizing large language models.

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it_user1139529

Data Scientist at a tech services company with 1,001-5,000 employees

Drag-and-drop functionality makes the interface easy to use, but the technical support needs to be improved

There are not many people deploying models using this solution, which is a problem. I have done some cross-development and have found that when I am building models with the open-source software, the accuracy is better. For categorical data, the models built by SAS Emailer are very complex compared to those built by the open-source version. Technical support could be improved because they take too long to answer our queries. Models that are created are a block box, and you can't see the details.

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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

"Using the GUI, I can have models and algorithms drag and drop nodes."

"The best part of RapidMiner is efficiency."

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

"The solution is stable."

"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 features are the Binary classification and Auto Model."

"I've been using a lot of components from the Strategic Extension and Python Extension."

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

More Altair RapidMiner pros

"The most valuable feature is its flexibility and the ability to integrate with SAS."

"The most valuable features are forecasting and reporting."

Cons

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

"I would appreciate improvements in automation and customization options to further streamline processes."

"RapidMiner isn't cheap. It's a complete solution, but it's costly."

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

"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."

"It would be helpful to have some tutorials on communicating with Python."

"One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users."

"About twenty-five percent of my problems involve image processing, and I found RapidMiner lacking in this domain. While we work on OCR and similar tasks, RapidMiner hasn't been as engaged in that field as other models. Some other models also support email processing, but RapidMiner doesn't offer this feature."

More Altair RapidMiner cons

"Technical support could be improved because they take too long to answer our queries."

"I think that this solution should be more compatible with other software, including open-source solutions."

Pricing and Cost Advice

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

"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."

"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."

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

"If SAS were more flexible in terms of licensing then that would be good, because it costs more than other solutions."

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Top Industries

By visitors reading reviews

University

11%

Computer Software Company

10%

Manufacturing Company

10%

Educational Organization

10%

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

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. It can also connect to databases, allowing me to build models directly on the dat...

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 like neural networks and deep learning. It would be beneficial if the platform co...

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Comparisons

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Compared 48% of the time

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Compared 14% of the time

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Compared 8% of the time

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Compared 6% of the time

Microsoft Azure Machine Learning Studio vs Altair RapidMiner

Compared 4% of the time

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DataRobot vs SAS Predictive Analytics

Compared 59% of the time

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Compared 41% of the time

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Product Reports

Buyer's Guide

Altair RapidMiner

October 2025

Download Altair RapidMiner product report

Buyer's Guide

Predictive Analytics

September 2025

Download SAS Predictive Analytics product report

Overview

Altair RapidMiner is a leading platform for data science and machine learning, offering a user-friendly interface with powerful tools for predictive analytics. It supports integration with APIs, Python, and cloud services for streamlined workflow creation.

RapidMiner provides an efficient data science environment featuring drag-and-drop functionality, automation tools, and a wide array of algorithms, making it adaptable for novices and experts alike. Users benefit from easy data preparation and analysis alongside robust support from a vibrant community. Challenges include better onboarding and deep learning model accessibility, alongside calls for enhanced image processing and large language model integration.

What features make Altair RapidMiner stand out?

Data science tools: Facilitates machine learning and predictive analytics.
Code-optional GUI: Enables non-programmers to create workflows seamlessly.
Integration: Supports APIs, Python, and cloud services.
Drag-and-drop functionality: Simplifies workflow creation for users.
Algorithm variety: Offers diverse methods for data analysis.

What benefits and ROI should users consider when evaluating?

Efficiency: Saves time in data preparation and workflow automation.
Accessibility: Intuitive design aids beginners and experts.
Community: Access to extensions and collaborative resources.
Documentation: Comprehensive tutorials enhance learning.

Altair RapidMiner is extensively used in business and academia, facilitating tasks like predictive analytics, segmentation, and deployment. In education, it supports data science teaching and research, while in industries such as telecom, banking, and healthcare, it's used for data mining, decision trees, and market analysis.

Altair

Information not available

SAS

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

MetLife

Buyer's Guide

Altair RapidMiner vs. SAS Predictive Analytics

September 2025

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