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Altair RapidMiner vs Domino Data Science Platform comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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 Data Science Platforms
11th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
26
Ranking in other categories
Predictive Analytics (6th)
Domino Data Science Platform
Ranking in Data Science Platforms
16th
Average Rating
8.2
Reviews Sentiment
6.0
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 3.3%, down from 6.5% compared to the previous year. The mindshare of Domino Data Science Platform is 1.8%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Altair RapidMiner3.3%
Domino Data Science Platform1.8%
Other94.9%
Data Science Platforms
 

Featured Reviews

SP
Solution Architect at Hitachi Digital Services
Visual workflows have empowered teams to build and deploy reliable predictive maintenance models
The best features Altair RapidMiner offers in my experience are the visual workflow designer in AI Studio, which is the foundation of everything. Building complete machine learning pipelines, data ingestion, transformation, feature engineering, model training, validation, and deployment in a drag-and-drop visual environment without extensive coding is what makes this accessible to organizations that cannot staff a team of Python developers for every analytics project. That capability opens the door.Auto Model is the feature I lean on most when doing rapid prototyping with clients. It evaluates multiple algorithms automatically, surfaces the best-performing model for the data, and explains why. That dramatically compresses the experimentation phase. What would take a data scientist days of manual testing, Auto Model does in an hour.
reviewer2906820 - PeerSpot reviewer
Partner, AI and Machine Learning at a consultancy with 11-50 employees
Portable code has empowered cross‑client data science and now supports collaborative AI projects
Machine learning AI platforms like Domino Data Science Platform have the problem that they need to demonstrate well to citizen data scientists and technology management, so they need to make AI look easy. They also need to demonstrate well to professional data scientists who want to have their hands on as much power and scalability as possible. Lastly, they need to serve what we call MLOps engineers and software engineers to take the models and move them to production deployment. Those three personalities want a tool to look three different ways, and Domino Data Science Platform does a really good job at that. Domino Data Science Platform makes it accessible to citizen data scientists with basic concepts for IT management, has robust abilities to serve professional data scientists, and also has abilities to help MLOps and DataOps people deploy. I think the ability to select your environment, your containers, and your scalability, to use lots of computing memory when you need it, and then build your model, create your architectures, and then scale back to different sizes of the platforms as you need it is the area that Domino Data Science Platform stands out the most for professional data scientists. The ability to do the code yourself in Python and at the same time have automatic version control is really helpful too. I would highlight that Domino Data Science Platform is closer to Databricks, and while I have also used Dataiku, I would say that Dataiku is actually closer to the citizen data scientist platform.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The data science, collaboration, and IDN are very, very strong."
"The tools have a complete function for doing data."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"The documentation for this solution is very good, where each operator is explained with how to use it."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"RapidMiner for Windows is an excellent graphical tool for data science."
"In terms of my experience deploying models using Domino Data Science Platform, I have previously worked with Google Cloud and Vertex AI, as well as Azure Machine Learning Studio, but I find that Domino Data Lab is a much more advanced platform specifically tailored for model deployment, which significantly eases our workflow."
"The scalability of the solution is good; I'd rate it four out of five."
"We primarily use the solution for customer retention, but there are a lot of use cases for this particular product."
"Domino Data Science Platform makes it accessible to citizen data scientists with basic concepts for IT management, has robust abilities to serve professional data scientists, and also has abilities to help MLOps and DataOps people deploy."
"The workspaces, which are like wrappers of Docker containers, made it easy to start development environments using Domino."
 

Cons

"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."
"Altair RapidMiner can be improved as the cloud-native story is still maturing."
"It would be helpful to have some tutorials on communicating with Python."
"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."
"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."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning."
"The deployment of large language models (LLMs) could be improved."
"Improvement areas for Domino Data Science Platform could relate to resource monitoring capabilities; adding visuals that stakeholders can review would enhance awareness of resource usage and its impact on applications and costs."
"The predictive analysis feature needs improvement."
"Regarding Domino Data Science Platform's AI capabilities, I find its governance and security to be basic at present."
 

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."
"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."
"I used an educational license for this solution, which is available free of charge."
Information not available
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Top Industries

By visitors reading reviews
Manufacturing Company
13%
Financial Services Firm
11%
University
9%
Educational Organization
8%
Financial Services Firm
33%
Manufacturing Company
9%
Insurance Company
8%
Government
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise5
Large Enterprise10
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for RapidMiner?
My experience with pricing, setup cost, and licensing shows that the licensing model is based on Altair Units, which is their shared token-based system across their product portfolio and is flexibl...
What needs improvement with RapidMiner?
Altair RapidMiner can be improved by enhancing the newer GenAI features, which are interesting but honestly still quite early, and the documentation does not yet match the ambition of what they are...
What is your primary use case for RapidMiner?
My main use case for Altair RapidMiner is predictive quality analysis on the manufacturing site, as Wagner Spraytech manufactures spray finishing equipment and we generate a significant amount of o...
What needs improvement with Domino Data Science Platform?
The need for AI governance that includes measuring model drift and assessing issues of large language models is something that Domino Data Science Platform really needs to strengthen, but I don't t...
What is your primary use case for Domino Data Science Platform?
I am a professional data scientist, and I use Domino Data Science Platform for basic data engineering and model development. I developed a model to help a client identify which customers they shoul...
What advice do you have for others considering Domino Data Science Platform?
I would rate Domino Data Science Platform an eight on a scale of one to ten. To be a ten, you would need to make a technology stack that is from the databases all the way through to advanced AI abi...
 

Also Known As

No data available
Domino Data Lab Platform
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Allstate, GSK, AstraZeneca, Federal Reserve, US Navy, Bristol Myers Squibb, Bayer, BNP Paribas, Moodys, New York Life
Find out what your peers are saying about Altair RapidMiner vs. Domino Data Science Platform and other solutions. Updated: September 2026.
920,929 professionals have used our research since 2012.