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Altair Knowledge Studio vs Altair RapidMiner comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 4, 2025

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 Knowledge Studio
Ranking in Data Science Platforms
28th
Average Rating
8.0
Reviews Sentiment
8.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Altair RapidMiner
Ranking in Data Science Platforms
6th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
23
Ranking in other categories
Predictive Analytics (3rd)
 

Mindshare comparison

As of March 2025, in the Data Science Platforms category, the mindshare of Altair Knowledge Studio is 0.3%, up from 0.2% compared to the previous year. The mindshare of Altair RapidMiner is 7.8%, up from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

LS
Advanced decision trees and seamless data pattern analysis transform data preparation
One of the most valuable features of Altair Knowledge Studio is its decision trees, which are quite advanced and popular compared to other tools. The Segment ( /products/segment-reviews ) Viewer is another unique feature that provides a comprehensive view of data patterns and helps identify anomalies before creating decision trees. Additionally, the ability to export code in the language of SAS is valuable, and the tool's drag-and-drop functionality makes it accessible to business users without a coding background.
Laurence Moseley - PeerSpot reviewer
Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms
When I started using RapidMiner, I found it difficult to get it to read the metadata. I wanted to use, for example, a pivot table, and it did not have the variable or the attribute names in it. There were no values. It took a long while to figure out how to do that, although it tends to do it automatically nowadays. RapidMiner is not utterly intuitive for beginners. Sometimes people have trouble distinguishing between a file in their own file system and a repository entry, and they cannot find their data. This is an area where this solution could be improved. It would be helpful to have some tutorials on communicating with Python. I found it a bit difficult at times to figure out which particular variable, or attribute, is going where in Python. It is probably a simple thing to do but I haven't mastered it yet. I'd like them to do a video on that. There are a large number of videos that are usually well-produced, but I don't think that they have one on that. Essentially, I would like to see how to communicate from RapidMiner to Python and from Python to RapidMiner. One of the things I do a lot of is looking at questionnaires where people have used Likert-type scales. I don't recommend Likert-type scales, but if they're properly produced, which is a lot of hard work and it's not usually done, they're really powerful and you can do things like normalizing holes on the Likert scale. That's not the same as normalizing your data in RapidMiner. So, I would want to get results with these Likert scales, pass it through RapidMiner, do a normalization and pass back both the raw scores and the normalized scores and put in some rules, which will say if it's high on the raw score and on the normalized score and low on the standard deviation, then you can trust it.

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 of Altair Knowledge Studio is its decision trees, which are quite advanced and popular compared to other tools."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."
"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."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"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."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"The documentation for this solution is very good, where each operator is explained with how to use it."
 

Cons

"It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation."
"The price of this solution should be improved."
"RapidMiner can improve deep learning by enhancing the features."
"I would appreciate improvements in automation and customization options to further streamline processes."
"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."
"Improve the online data services."
"If they could include video tutorials, people would find that quite helpful."
"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 isn't cheap. It's a complete solution, but it's costly."
 

Pricing and Cost Advice

Information not available
"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."
"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."
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Top Industries

By visitors reading reviews
No data available
University
11%
Computer Software Company
11%
Educational Organization
10%
Financial Services Firm
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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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...
What is your experience regarding pricing and costs for RapidMiner?
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.
What needs improvement with RapidMiner?
The product must provide data-cleaning features. I could not use RapidMiner for data cleaning in one of my projects and had to use Python instead.
 

Also Known As

Angoss KnowledgeSTUDIO
No data available
 

Overview

 

Sample Customers

HSBC, MBNA, US Ban Corp, MasterCard Worldwide, Invesco, Citi Bank, ATB Financial, PayPal, Bajaj Finserv
PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
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