background image background image

 Dataiku Ranked #1 in
Product Owner Use Case in Gartner Critical Capabilities for Data Science & ML Platforms,
Core Data Science

Dataiku product owner use case
Dataiku product owner use case

Dataiku Scored Highest for the “Product Owner Use Case”

This use case refers to “Use of the DSML platform to prioritize and oversee the development process to align with business goals and user needs.” 

It weighs “Project and Value Management” capabilities and “Governance and Risk Management” (30% and 20% of the overall ranking, respectively).

See why Dataiku ranked as the highest-scoring vendor (out of 16) for this business-critical Use Case.

900-pixels

Dataiku Ranked for Data Analyst, Data Scientist, & Model Validator Use Cases

Dataiku scored 3.76/5 in Data Analyst, 3.51/5 in Data Scientist, and 3.62/5 in the Model Validator Use Case. 

We believe the high ranking across all Use Cases available showcases the breadth and depth of Dataiku, The Universal AI Platform™, for the enterprise world.

Hubspot visual FINAL

A Magic Quadrant™ Leader
for the 4th Time

Dataiku has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms for the fourth consecutive time.

We believe the critical capabilities reinforce this placement and are available to anyone looking to dive deeper into the details for selecting and choosing their DSML platform of choice. 

magic quadrant
 

Don't Just Take Our Word for It

We believe Dataiku is the AI platform of choice for leading enterprises around the world. In the past 12 months, we have received an overall rating of 4.8/5 on Gartner Peer Insights, 147 of which are five-star ratings with 94% of reviewers recommending Dataiku as of June 2025. 
background image

Get Your Copy of the Gartner Critical Capabilities for Data Science & ML Platforms, Core Data Science Report

Gartner, Critical Capabilities for Data Science and Machine Learning Platforms, Core Data Science, Afraz Jaffri,Tong Zhang, Deepak Seth, Maryam Hassanlou, Yogesh Bhatt, 4 June 2025. Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Maryam Hassanlou, Tong Zhang, Deepak Seth, Yogesh Bhatt, 28 May 2025. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark, and MAGIC QUADRANT and PEER INSIGHTS are trademarks and service marks, of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Dataiku. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, not do they represent the views of Gartner or its affiliates.