Altair RapidMiner vs SAS Predictive Analytics comparison

Altair and SAS are both solutions in the Predictive Analytics category. Altair is ranked #4 with an average rating of 8.3, while SAS is ranked #7. Altair holds a 6.6% mindshare in PA, compared to SAS’s 4.6% 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

4,391 Views
615 Comparison Views

96% willing to recommend

SAS Predictive Analytics

Read 2 SAS Predictive Analytics reviews

347 Views
347 Comparison Views

100% willing to recommend

Altair RapidMiner

SAS Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 21, 2025

Altair RapidMiner and SAS Predictive Analytics are leading contenders in the predictive analytics category. Altair RapidMiner has the upper hand in cost efficiency and ease of deployment, while SAS Predictive Analytics leads with comprehensive features.

Features: Altair RapidMiner offers seamless integration capabilities, diverse data connectivity options, and flexibility in data handling. SAS Predictive Analytics provides extensive analytical features, powerful statistical tools, and in-depth modeling support.

Ease of Deployment and Customer Service: Altair RapidMiner features a straightforward deployment model and strong customer support. SAS Predictive Analytics offers substantial deployment resources but requires more technical expertise.

Pricing and ROI: Altair RapidMiner is recognized for its cost-effective setup, beneficial for budget-conscious businesses. SAS Predictive Analytics, despite higher initial costs, offers superior long-term ROI due to its powerful capabilities.

To learn more, read our detailed Altair RapidMiner vs. SAS Predictive Analytics Report (Updated: February 2026).

Buyer's Guide

Altair RapidMiner vs. SAS Predictive Analytics

February 2026

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Helped 881,733 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

Altair RapidMiner

Ranking in Predictive Analytics

4th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (8th)

SAS Predictive Analytics

Ranking in Predictive Analytics

7th

Average Rating

7.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 6.6%, down from 16.5% compared to the previous year. The mindshare of SAS Predictive Analytics is 4.6%, up from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
Altair RapidMiner	6.6%
SAS Predictive Analytics	4.6%
Other	88.8%

Predictive Analytics

Featured Reviews

VictorSantos

Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra

Utilize intuitive CRISP model support and predictive analytics features for effective data analysis

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 tool’s auto model feature is excellent as it allows simulation of models to select the best one. It is useful for predictive analytics with community support for model adjustments. I also find handling complex datasets promising, although there's a need for improvement with generative AI adaptation.

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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.

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

"The documentation for this solution is very good, where each operator is explained with how to use it."

"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. RapidMiner is competitive in the ML space."

"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 data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs."

"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."

"The solution is very intuitive and powerful."

"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."

"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."

"Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool."

More Altair RapidMiner pros

"The most valuable features are forecasting and reporting."

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

Cons

"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."

"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator."

"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there."

"RapidMiner can improve deep learning by enhancing the features."

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

"If they could include video tutorials, people would find that quite helpful."

"Improve the online data services."

More Altair RapidMiner cons

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

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

Pricing and Cost Advice

"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."

"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."

"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."

"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

Manufacturing Company

12%

University

11%

Computer Software Company

10%

Financial Services Firm

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

KNIME Business Hub vs Altair RapidMiner

Compared 29% of the time

Dataiku vs Altair RapidMiner

Compared 10% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

Databricks vs Altair RapidMiner

Compared 6% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 5% of the time

More Altair RapidMiner Competitors

DataRobot vs SAS Predictive Analytics

Compared 23% of the time

TIBCO Statistica vs SAS Predictive Analytics

Compared 14% of the time

Vortexa vs SAS Predictive Analytics

Compared 14% of the time

Alteryx vs SAS Predictive Analytics

Compared 13% of the time

SAP Analytics Cloud vs SAS Predictive Analytics

Compared 12% of the time

More SAS Predictive Analytics Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

February 2026

Download Altair RapidMiner product report

Buyer's Guide

Predictive Analytics

January 2026

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

February 2026

Free Report: Altair RapidMiner vs. SAS Predictive Analytics

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