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Altair RapidMiner vs Cloudera Data Science Workbench comparison

 

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
10th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
26
Ranking in other categories
Predictive Analytics (5th)
Cloudera Data Science Workb...
Ranking in Data Science Platforms
24th
Average Rating
7.0
Reviews Sentiment
6.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 3.4%, down from 7.8% compared to the previous year. The mindshare of Cloudera Data Science Workbench is 1.6%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Altair RapidMiner3.4%
Cloudera Data Science Workbench1.6%
Other95.0%
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.
Ismail Peer - PeerSpot reviewer
Program Management Lead Advisor at Unionbank Philippines
Useful for data science modeling but improvement is needed in MLOps and pricing
If you don't configure CDSW well, then it might be not useful for you. Deploying the tool can vary in complexity, but most of the time, it's relatively simple and straightforward. Triggering a job from data to production is easy, as the platform automates the deployment process. However, ensuring optimal resource allocation is essential for smooth operations.

Quotes from Members

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

Pros

"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."
"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 very intuitive and powerful."
"It's helpful if you want to make informed decisions using data, as we can take the information, tease out the attributes, and label everything, making it suitable for profiling and forecasting in any industry."
"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."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The auto modeling has reduced end-of-line defect rates by approximately 18% in the first year after deploying the predictive quality models, translating directly into reduced scrap, lower rework costs, and better throughput."
"This solution is a great tool for users that are experimenting and is an alternative to doing the coding and everything themselves."
"The Cloudera Data Science Workbench is customizable and easy to use."
"I appreciate CDSW's ability to logically segregate environments, such as data, DR, and production, ensuring they don't interfere with each other. The deployment of machine learning is fast and easy to manage. Its API calls are also fast."
 

Cons

"RapidMiner loads very slowly, which is something that should be improved."
"I would appreciate improvements in automation and customization options to further streamline processes."
"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 product must provide data-cleaning features."
"Regarding Altair RapidMiner's AI capabilities, I think its governance and security are not the greatest."
"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."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"Running this solution requires a minimum of 12GB to 16GB of RAM."
"The tool's MLOps is not good. It's pricing also needs to improve."
"We found this solution a little bit difficult to scale."
 

Pricing and Cost Advice

"I used an educational license for this solution, which is available free of charge."
"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."
"The product is expensive."
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Top Industries

By visitors reading reviews
Manufacturing Company
12%
Financial Services Firm
10%
University
9%
Computer Software Company
8%
Financial Services Firm
32%
Healthcare Company
7%
Computer Software Company
7%
Manufacturing Company
7%
 

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?
I started with a trial version. We are likely to purchase a license, which may offer additional features.
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...
What is your primary use case for RapidMiner?
I am using Altair RapidMiner ( /products/altair-rapidminer-reviews ) to analyze stock data and supply chain assessment metrics in my organization. I use it to upload data to gain insights and make ...
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Also Known As

No data available
CDSW
 

Overview

 

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
IQVIA, Rush University Medical Center, Western Union
Find out what your peers are saying about Altair RapidMiner vs. Cloudera Data Science Workbench and other solutions. Updated: April 2026.
899,324 professionals have used our research since 2012.