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®️

2026 Magic Quadrant™ for AI Platforms for Data Science & Machine Learning

Dataiku has been named a Leader for the fifth time in the 2026 Magic Quadrant™ for AI Platforms for Data Science & Machine Learning. In addition to being named a Leader, Dataiku was once again recognized for “Completeness of Vision” and “Ability to Execute.”

2026 Gartner Critical Capabilities for AI Platforms for Data Science & ML

Dataiku scored highest for both the AI Automation and AI Insights Generation Use Cases and scored 4.23/5 in Composite AI, 4.15/5 in MLOps, and 4.04 in AI Engineering.

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

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Dataiku named a Gartner Magic Quadrant Leader for 4th consecutive year

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Dataiku ranked #1 in product owner use case in gartner critical capabilities report

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What IT really takes to be a Gartner Magic Quadrant Leader 4 years running

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Dataiku recognition from IDC

IDC MarketScape: Worldwide Agentic AI Platforms 2026 Vendor Assessment

We believe by being recognized as a Leader in the IDC MarketScape, Dataiku helps enterprises build, deploy, and govern AI agents at scale on any model or cloud — with an agnostic agent management layer, strong lifecycle governance from first build through production, and sovereign, full-stack deployment.

“Dataiku suits enterprises wanting a governed, model- and cloud-agnostic platform to build high-value AI agents on their existing data and machine learning investments — especially those that are regulated or sovereignty-conscious, needing on-premises or air-gapped deployment."

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%.

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, Magic Quadrant for AI Platforms for Data Science and Machine Learning, Yogesh Bhatt, Afraz Jaffri, Diarmuid Curran, 22 June 2026. 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.

Gartner, Critical Capabilities for AI Platforms for Data Science and Machine Learning, Yogesh Bhatt, Afraz Jaffri, Diarmuid Curran, 23 June 2026.IDC MarketScape: Worldwide Unified AI Governance Platforms 2025–2026 Vendor Assessment, #US53514825, December 2025

IDC MarketScape: Worldwide Agentic AI Platform Software 2026 Vendor Assessment, #US54140926, October 2026

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)