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Altair RapidMiner vs Dataiku comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 21, 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 RapidMiner
Ranking in Data Science Platforms
8th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
24
Ranking in other categories
Predictive Analytics (4th)
Dataiku
Ranking in Data Science Platforms
4th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
17
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 4.2%, down from 7.8% compared to the previous year. The mindshare of Dataiku is 6.7%, down from 12.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Dataiku6.7%
Altair RapidMiner4.2%
Other89.1%
Data Science Platforms
 

Featured Reviews

VS
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.
PriyankaSharma3 - PeerSpot reviewer
Cdao/Global Head Of Data And Analytics at Givaudan Roure
Unified platform has accelerated model development and improved collaborative data science work
I think Dataiku could be improved or enhanced in future releases with more 'talk to my data' capabilities, maybe more NLP features, and maybe a platform to build agents. These improvements would benefit me and my processes because they will help us to continue using Dataiku as one platform; right now we are exploring other platforms for the features which are missing, and if they are available within the same platform, I think it will increase the usage of Dataiku further. I think the pricing and licensing of Dataiku is a bit expensive; it could be improved further, and I think they should have a different kind of licensing model as well.

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 is what the product sets out to do, which is extracting information and data."
"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."
"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."
"The solution is very intuitive and powerful."
"RapidMiner is very easy to use."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"The most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction."
"Dataiku is a complete platform to build ETL and data pipeline and deploy it, which I appreciate."
"I believe the return on investment looks positive."
"Our clients can easily drag and drop components and use them on the spot."
"I consider the return on investment with Dataiku valuable because for us, it is one single platform where all our data scientists come together and work on any model building, so it is collaboration, plus having everything in one place, organized, having proper project management, and then built-in capabilities which help to facilitate model building."
"The advantage is that you can focus on machine learning while having access to what they call 'recipes.' These recipes allow me to preprocess and prepare data without writing any code."
"The solution is quite stable."
"The best feature in Dataiku is that once the data is connected in the underneath layer, it flows exceptionally smoothly if you know how to tweak it."
 

Cons

"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."
"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."
"If they could include video tutorials, people would find that quite helpful."
"Improve the online data services."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"I would appreciate improvements in automation and customization options to further streamline processes."
"I would like to see more integration capabilities."
"RapidMiner can improve deep learning by enhancing the features."
"I think the pricing and licensing of Dataiku is a bit expensive; it could be improved further, and I think they should have a different kind of licensing model as well."
"One area for improvement is the need for more capabilities similar to those provided by NVIDIA for parallel machine learning training. We still encounter some integration issues."
"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."
"The license is very expensive. It would be great to have an intermediate license for basic treatments that do not require extensive experience."
"The license is very expensive."
"We still encounter some integration issues."
"In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin."
"The technical support from Dataiku is not good. The support team does not provide adequate assistance, and there are concerns about billing requests."
 

Pricing and Cost Advice

"I used an educational license for this solution, which is available free of charge."
"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."
"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."
"Pricing is pretty steep. Dataiku is also not that cheap."
"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."
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Top Industries

By visitors reading reviews
Manufacturing Company
11%
University
11%
Computer Software Company
10%
Educational Organization
9%
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
9%
Energy/Utilities Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise5
Large Enterprise8
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise11
 

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...
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 experience regarding pricing and costs for Dataiku Data Science Studio?
I am not the person involved in the process regarding pricing, setup cost, and licensing.
What needs improvement with Dataiku Data Science Studio?
To improve Dataiku, it could enhance its visualization features, as it is not possible in Dataiku to create direct visualizations or to integrate a web app directly or in a simpler way as it is pos...
What is your primary use case for Dataiku Data Science Studio?
My main use case for Dataiku is for data science and AI projects. I use Dataiku for a demand forecasting use case where the objective is to predict the demand for each product for the next four mon...
 

Also Known As

No data available
Dataiku DSS
 

Overview

 

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
Find out what your peers are saying about Altair RapidMiner vs. Dataiku and other solutions. Updated: March 2026.
884,122 professionals have used our research since 2012.