Altair RapidMiner vs SAS Predictive Analytics comparison

Altair and SAS are both solutions in the Predictive Analytics category. Altair is ranked #2 with an average rating of 8.1, while SAS is ranked #9. Altair holds a 12.5% mindshare in PA, compared to SAS’s 3.4% 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

5,047 Views
707 Comparison Views

96% willing to recommend

SAS Predictive Analytics

Read 2 SAS Predictive Analytics reviews

207 Views
203 Comparison Views

100% willing to recommend

Altair RapidMiner

SAS Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 8, 2025

Altair RapidMiner and SAS Predictive Analytics are competing products in advanced data analytics. Altair RapidMiner is favored for cost-effectiveness and strong support, while SAS Predictive Analytics is seen as superior for its comprehensive features.

Features: Altair RapidMiner offers an intuitive workflow design, robust data processing, and easy adaptability for various data tasks. SAS Predictive Analytics delivers an extensive range of statistical functions, advanced modeling techniques, and benefits for complex projects.

Ease of Deployment and Customer Service: SAS Predictive Analytics provides comprehensive deployment with in-depth documentation and dedicated support. Altair RapidMiner ensures a streamlined deployment process and efficient support for quick implementation.

Pricing and ROI: Altair RapidMiner has competitive pricing with significant ROI and minimal setup costs. SAS Predictive Analytics, though costlier, justifies its price with advanced features that promise higher long-term returns.

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

Buyer's Guide

Altair RapidMiner vs. SAS Predictive Analytics

July 2025

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Helped 865,384 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

2nd

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 August 2025, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 12.5%, down from 17.8% compared to the previous year. The mindshare of SAS Predictive Analytics is 3.4%, up from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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."

"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."

"RapidMiner is very easy to use."

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

"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."

"The data science, collaboration, and IDN are very, very strong."

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

"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."

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

"Altair RapidMiner needs updates to its examples, particularly in business and marketing areas, and to the tool itself. The user interface should be improved."

"The price of this solution should be improved."

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

"I would like to see more integration capabilities."

"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."

"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."

"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."

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

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."

"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."

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

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

"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

11%

Educational Organization

10%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 51% of the time

Dataiku vs Altair RapidMiner

Compared 15% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 8% of the time

Alteryx vs Altair RapidMiner

Compared 7% of the time

IBM SPSS Modeler vs Altair RapidMiner

Compared 3% of the time

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DataRobot vs SAS Predictive Analytics

Compared 100% of the time

More SAS Predictive Analytics Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

August 2025

Download Altair RapidMiner product report

Buyer's Guide

Predictive Analytics

August 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

July 2025

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