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Industry analyst and customer recognition for Dataiku

Don't just take our word for it — see what industry analysts around the world say about Dataiku, the Platform for AI Success.
 

Dataiku recognition from Gartner®️

2025 Magic Quadrant™ for Data Science & Machine Learning Platforms

Dataiku has been named a Leader for the fourth time in the 2025 Magic Quadrant for Data Science and Machine Learning (DSML) Platforms. In addition to being named a Leader, Dataiku was recognized for “Completeness of Vision” and “Ability to Execute.”

gartner mq 2025

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2025 Gartner Critical Capabilities for Data Science & ML Platforms, Core Data Science, Afraz Jaffri,Tong Zhang, Deepak Seth, Maryam Hassanlou, Yogesh Bhatt, 4 June 2025

Dataiku scored highest for the “Product Owner Use Case” in the 2025 Gartner Critical Capabilities for Data Science & ML Platforms, Core Data Science.

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2024 GartnerⓇ Peer Insights ‘Voice of the Customer’: Data Science and ML Platforms

Dataiku was named a Customers’ Choice — recognized vendors meet or exceed both the market average Overall Experience and the market average User Interest and Adoption. Dataiku also received the highest overall Rating (4.8/5 based on 288 reviews as of 30 Sep 2024), a 96% Willingness to Recommend rating, a Customers’ Choice vendor, one of only two recognized in the report.

Dataiku Is a Gartner Peer Insights Customers’ Choice

See why Dataiku was named a Gartner Peer Insights Customers' Choice and see firsthand what customers say about Dataiku.

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Dataiku Named a Gartner Magic Quadrant Leader for 4th Consecutive Year

Today, we’re proud to announce that we’ve been named a Leader for the fourth year in the 2025 Gartner™ Magic Quadrant™ for Data Science and Machine Learning Platforms.

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Dataiku Ranked #1 in Product Owner Use Case in Gartner Critical Capabilities Report

Dataiku is recognized in the 2025 Gartner Critical Capabilities for Data Science and Machine Learning Platforms, Core Data Science report, ranking #1 for the Product Owner Use Case.

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What It Really Takes to Be a Gartner Magic Quadrant Leader 4 Years Running

Here are some of the key reasons why we believe Dataiku, The Universal AI Platform™, was recognized as a Leader

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Dataiku recognition from IDC

IDC MarketScape for Worldwide Unified AI Governance Platforms 2025–2026 Vendor Assessment

We believe by being recognized as a Leader in the IDC MarketScape, Dataiku helps enterprises govern analytics, ML, GenAI, and AI agents at scale by integrating governance directly into AI workflows — with embedded controls across the AI lifecycle, open and model-agnostic architecture, and continuous oversight without operational drag.

“The platform is ideal for enterprises that prioritize technology and model-agnostic architecture to avoid vendor lock-in while requiring flexibility to work across multiple clouds, on-premises environments, and diverse AI technology stacks, including connections to AWS, Azure, GCP, Databricks, Snowflake, and numerous foundation model providers.”

The IDC ProductScape for Worldwide Generative AI Governance Platforms, 2025

With built-in guardrails at every step, flexible, model-agnostic integration, and real-time oversight without slowdowns, Dataiku delivers trusted, scalable GenAI governance.

“When it comes to the governance issues surrounding AI and generative AI, the Dataiku Platform is a comprehensive system that can be used either on-premises or in the cloud. It gives organizations the tools they need to manage AI models throughout their lifecycle, including regulatory compliance, security, and ethical considerations.”

 

Dataiku recognition from Forrester

The Total Economic Impact™ of Dataiku

Data engineers and data scientists save 75% of the time they previously spent on projects by using Dataiku. Dataiku also reduces 90% of the manual, repeated tasks involved in regular reporting.

Customer interviews and financial analysis gound that a composite organization experiences benefits of $12.89M over three years versus costs of $2.47M, adding up to a net present value (NPV) of $10.32M and an ROI of 423%.

“By having these reusable data pipelines and data products, [we have] streamlined our operational side of development. We’re talking about savings in the rang of $4 million plus. By having these reusable data pipelines and data products, [we have] streamlined our operational side of development. We’re talking about savings in the range of $4 million plus.”

– Team Lead, Analytics Innovation, Pharmaceutical Company

Other industry recognition

 

Constellation Reports

2026 Constellation ShortList™ MLOps

Dataiku was named among the MLOps solutions selected by Constellation Research.

Constellation evaluated over a dozen self-service data science and machine learning solutions in the market and found that Dataiku is one of the strongest products in terms of helping analysts, data-savvy business users, and data scientists perform advanced analytics analyses, including predictive analysis and machine learning. Constellation also found Dataiku to be a market leader in MLOps when looking at over 20 solutions in that market category.

2024 Constellation ShortList™ Self-Serve Data Science & Machine Learning

Out of the many self-service data science and machine learning solutions evaluated by Constellation, Dataiku stood out as a “Solution to Know.” Dataiku enables all profiles, from analysts to data-savvy business users and data scientists, to develop and deploy ML, AI, and GenAI capabilities across the enterprise.

 

Software Reviews

Dataiku was named as a Leader in the Machine Learning Software Data Quadrant.

Dataiku was also top rated in 4 capabilities (availability and quality of training, quality of features, usability and intuitiveness, and vendor support) and 3 features (data ingestion, data pre-processing, and feature engineering).

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, nor do they represent the views of Gartner or its affiliates.

IDC MarketScape: Worldwide Unified AI Governance Platforms 2025–2026 Vendor Assessment, #US53514825, December 2025

Constellation Research, Constellation ShortList™ MLOps, Doug Henschen (02 February 2026)

Constellation Research, Constellation ShortList™ Self-Service Data Science and Machine Learning, Doug Henschen (21 August 2024)

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