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Dataiku vs Mistral AI comparison

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Comparison Buyer's Guide

Executive Summary

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

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
Mistral AI
Ranking in Data Science Platforms
27th
Average Rating
6.0
Reviews Sentiment
3.7
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Data Science Platforms category, the mindshare of Dataiku is 4.4%, down from 10.5% compared to the previous year. The mindshare of Mistral AI is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Dataiku4.4%
Mistral AI0.6%
Other95.0%
Data Science Platforms
 

Featured Reviews

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.
reviewer2842902 - PeerSpot reviewer
Financial Analyst at a non-tech company with 5,001-10,000 employees
Chatbot support has boosted regulatory productivity but still needs richer analytics and dashboards
Mistral AI has a lot of work to do on image generation and Excel functionality. Building dashboards and Excel work for professional use is something I see as needing improvement since it is currently seen more as a chatbot and is less advanced than Claude in this aspect. Ideally, what we would love to see is artifacts similar to what we have in Claude and being able to create our own AI agent with Mistral AI because we want everything in one place. We don't like the fact that sometimes we have to change from one chatbot to another, and if we had one place where we could do everything, it would be the best.

Quotes from Members

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

Pros

"Cloud-based process run helps in not keeping the systems on while processes are running."
"The best features Dataiku offers include the ability for users to use the node without having to code and the functionality related to low-code/no-code."
"Dataiku has positively impacted my organization, specifically in one project where we performed migration from AWS to Dataiku, speeding up the solution by close to 40% and reducing architecture costs by almost 70%, which was a significant benefit and greatly impacted our operations."
"Dataiku is really a very intuitive platform that allows you to carry out data projects from end to end, with the opportunity to reuse templates, models, and recipes, which is one of the big advantages of using it."
"Dataiku is a complete platform to build ETL and data pipeline and deploy it, which I appreciate."
"If many teams are collaborating and sharing Jupyter notebooks, it's very useful."
"The most valuable feature is the set of visual data preparation tools."
"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."
"Mistral AI helps me gain a lot of efficiency and productivity, because as soon as I have a question, I get the answer in real time, which is really beneficial."
 

Cons

"One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated."
"The license is very expensive. It would be great to have an intermediate license for basic treatments that do not require extensive experience."
"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."
"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."
"In terms of enhancing collaboration within my team, I would not say Dataiku is the best one because it's so expensive."
"All products have room for improvement, and I would like to see their pricing simplified, as it is somewhat complex."
"However, I feel that better documentation is necessary."
"Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable."
"Mistral AI has a lot of work to do on image generation and Excel functionality."
 

Pricing and Cost Advice

"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
10%
Computer Software Company
9%
Comms Service Provider
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise13
No data available
 

Questions from the Community

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...
What needs improvement with Mistral AI?
Mistral AI has a lot of work to do on image generation and Excel functionality. Building dashboards and Excel work for professional use is something I see as needing improvement since it is current...
What is your primary use case for Mistral AI?
My main use case for Mistral AI is the chatbot functionality, which I find really great and very fast compared to ChatGPT and Claude. I use Mistral AI chatbots in my work to ask questions, particul...
What advice do you have for others considering Mistral AI?
Mistral AI is a good tool, but there is still development needed, and it has a lot more to do in terms of integrations, dashboards, data analysis, and the visualization of the analysis. I purchased...
 

Comparisons

 

Also Known As

Dataiku DSS
No data available
 

Overview

 

Sample Customers

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
Information Not Available
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