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Altair RapidMiner vs Dataiku 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:
 

ROI

Sentiment score
8.0
Altair RapidMiner's initial high cost is offset by long-term savings and high ROI, with users appreciating its value.
Sentiment score
4.9
Dataiku streamlines cross-functional projects for data scientists, enhancing compliance and suggesting a shift to consumption-based pricing.
The utilities predictive maintenance return on investment I mentioned, with a twenty percent reduction in unplanned downtime, is the clearest example.
Solution Architect at Hitachi Digital Services
I have seen a return on investment, as the defect reduction and forecast accuracy improvements have tangible financial value, with the scrap reduction alone recovering a significant portion of the platform cost in the first year.
Data Analytics Manager at a engineering company with 1,001-5,000 employees
The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.
Cognitive Business Operation at a consultancy with 10,001+ employees
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.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
It is a good return on investment since it helps save a lot of time, and it's easy for my teammates to work cross-functionally on the same project.
Data Scientist at a tech vendor with 51-200 employees
 

Customer Service

Sentiment score
6.8
Altair RapidMiner's customer service is praised for community resources, though direct support response times can vary.
Sentiment score
5.3
Dataiku customer service offers quick responses and varying support experiences, with local partnerships aiding in industry-specific assistance.
I have not encountered any problems with Altair RapidMiner technical support.
Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra
the technical documentation is thorough
Data Analytics Manager at a engineering company with 1,001-5,000 employees
Dataiku partners with local industry experts who understand the business better and provide support.
Data Science Lead at a mining and metals company with 10,001+ employees
The support team does not provide adequate assistance.
Cognitive Business Operation at a consultancy with 10,001+ employees
They should not take the complaints so lightly.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
 

Scalability Issues

Sentiment score
6.2
Altair RapidMiner scales efficiently for machine learning, though complex operations may need guidance, with scalability and load balance as key interests.
Sentiment score
5.8
Dataiku offers scalable solutions with cloud integration, supporting expansion and seamless team adaptation, despite minor performance concerns with large data.
Dataiku is quite scalable, as long as I can pay for more licenses, there is no technical limitation.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
Dataiku's scalability is pretty good; I can scale the projects very easily, and clear guidance is given as well.
Solution Architect at a pharma/biotech company with 10,001+ employees
 

Stability Issues

Sentiment score
7.3
Altair RapidMiner is celebrated for its stability and reliability, with occasional minor issues, rated 8-9 out of 10.
Sentiment score
6.9
Dataiku is stable for most users, though some experience issues with complex tasks, updates, and data quality variations.
Altair RapidMiner is stable with no issues of downtime or crashes.
Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra
Altair RapidMiner is a stable product, and it has been smooth to use without any bugs or issues.
Senior Manager, Digitalization of Supply Chain& Traceability at a non-profit with 501-1,000 employees
It would help if there was a backup proposition in place to avoid hampering our work due to updates.
Senior Data Scientist at Deloitte
For around ten percent of the day, it is usually down, and we are unable to do work on it.
Data Scientist at a tech vendor with 51-200 employees
In terms of stabilization, if my data has no outlier creation in the raw data, then it is quite stable.
Data Scientist at Ericsson
 

Room For Improvement

Altair RapidMiner users desire improved UI, tool integration, pricing, deep learning, documentation, security, automation, and open-source adoption.
Dataiku faces challenges like high cost, complex interface, and limited support, requiring improvements in integration, visualization, and documentation.
Incorporating generative AI as an AI assistant would be beneficial.
Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra
It would be beneficial if the platform could suggest suitable AI models and provide more advanced AI features.
Senior Manager, Digitalization of Supply Chain& Traceability at a non-profit with 501-1,000 employees
Graph Studio and knowledge graph capabilities are powerful in theory, but the learning curve is steep.
Data Analytics Manager at a engineering company with 1,001-5,000 employees
Someone who needs to do coding can do it, and someone who does not know coding can also build solutions.
Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees
The license is very expensive.
Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació
I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend it by developing and integrating custom components easily with existing ones.
Big Data Consultant at a computer software company with 1,001-5,000 employees
 

Setup Cost

Altair RapidMiner offers a flexible pricing model, perceived as expensive but more affordable than SAS or SPSS, with educational benefits.
Dataiku's pricing is high and varies, with enterprise expense concerns, yet it's relatively affordable for large companies.
The licensing model is flexible in the sense that you can apply units across different products.
Data Analytics Manager at a engineering company with 1,001-5,000 employees
We are likely to purchase a license, which may offer additional features.
Senior Manager, Digitalization of Supply Chain& Traceability at a non-profit with 501-1,000 employees
There are no extra expenses beyond the existing licensing cost.
Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació
I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies.
Big Data Consultant at a computer software company with 1,001-5,000 employees
The pricing for Dataiku is very high, which is its biggest downside.
Cognitive Business Operation at a consultancy with 10,001+ employees
 

Valuable Features

Altair RapidMiner simplifies building ML pipelines with no-code workflows, data integration, and seamless Python/R integration for organizations.
Dataiku offers intuitive tools for data preparation and integration, supporting collaboration, scalability, and efficiency for diverse teams.
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.
Solution Architect at Hitachi Digital Services
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.
Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra
Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool.
Senior Manager, Digitalization of Supply Chain& Traceability at a non-profit with 501-1,000 employees
This feature is useful because it simplifies tasks and eliminates the need for a data scientist.
Data Science Lead at a mining and metals company with 10,001+ employees
Dataiku primarily enhances the speed at which our customers can develop or train their machine learning models because it is a drag-and-drop platform.
Big Data Consultant at a computer software company with 1,001-5,000 employees
It offers most of the capabilities required for data science, MLOps, and LLMOps.
Cognitive Business Operation at a consultancy with 10,001+ employees
 

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)
Dataiku
Ranking in Data Science Platforms
2nd
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
21
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 Dataiku is 5.2%, down from 13.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Dataiku5.2%
Altair RapidMiner3.4%
Other91.4%
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.
SK
Senior Data Scientist at Deloitte
Visual workflows have streamlined healthcare analytics and have reduced reporting time significantly
In terms of improvement, I cannot comment on the LLMs or the agentic view as I have not used them yet. However, I feel that better documentation is necessary. Dataiku should establish a stronger community since this is proprietary software, where users can share knowledge. Although they have some community interaction, it is often challenging to find assistance when stuck. For example, when I was new to Dataiku and trying to use an external optimization tool such as CPLEX, I struggled with resource directory linking to a project's notebook. Detailed documentation and community discussions could have significantly alleviated these issues for users such as myself.
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Top Industries

By visitors reading reviews
Manufacturing Company
12%
Financial Services Firm
11%
University
9%
Computer Software Company
8%
Financial Services Firm
19%
Manufacturing Company
10%
Computer Software Company
9%
Energy/Utilities Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise5
Large Enterprise10
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise13
 

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 is your experience regarding pricing and costs for Dataiku Data Science Studio?
The licenses are a bit high for companies that are still hesitating to get started with using Dataiku. For my personal projects, I used the thirty-day free trial. Regarding my company, I did not ha...
What needs improvement with Dataiku Data Science Studio?
I have no suggestions for improvements because it's all good; it just sometimes lags a lot, and I don't know if the server is full or what, but it sometimes takes a lot of time while loading and re...
What is your primary use case for Dataiku Data Science Studio?
My main use case for Dataiku involves ETL pipelines, mainly for data analysis, and I majorly use SQL queries for that. For ETL pipelines and data analysis, I had to create the output by combining a...
 

Comparisons

 

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: June 2026.
900,644 professionals have used our research since 2012.