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Dataiku Named a Leader for 5th Consecutive Time in the 2026 Gartner® Magic Quadrant™ for AI Platforms for Data Science and ML

Dataiku, the Platform for AI Success, today announced it has been named a Leader in the 2026 Gartner® Magic Quadrant™ for AI Platforms for Data Science and Machine Learning, the fifth consecutive y...

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NEW YORK: Dataiku, the Platform for AI Success, today announced it has been named a Leader in the 2026 Gartner® Magic Quadrant™ for AI Platforms for Data Science and Machine Learning, the fifth consecutive year the company has received this recognition.

Steadily recognized for its “Completeness of Vision,” Dataiku believes this recognition reflects how enterprises use the platform to move from AI experimentation to production at scale. Dataiku gives cross-functional teams a single environment to build, operate, and govern AI across data platforms, cloud infrastructure, and the services they already use.

“The next divide in enterprise AI will be uncompromising: Some companies will turn AI into a measurable operating advantage, while others will be left behind with disconnected agents, rising risk, and no clear way to prove what is working,” said Florian Douetteau, co-founder and CEO of Dataiku. “That divide will not be decided by model access. It will be decided by who has the greatest access, orchestration, and governance to make AI actually perform across the business. We believe this fifth consecutive recognition as a Leader reflects the confidence customers place in Dataiku to help them cross that divide.”

Deployed by Enterprises Worldwide

Dataiku believes this recognition is further reinforced by direct customer feedback: over the last 12 months, Dataiku has received an overall rating of 4.7 out of 5 on Gartner Peer Insights™, with 98% of reviewers recommending the platform as of May 4, 2026. Dataiku has long been known for the quality of its customer support, particularly during onboarding and early-stage deployments.

Dataiku supports over 750 of the world’s largest and most complex organizations, including Roche, Johnson & Johnson, Michelin, and Standard Chartered, and more. This adoption is reinforced by Dataiku’s continued platform expansion, including Agent Management for cross-platform agent governance and business impact validation, Cobuild for visual and inspectable AI-assisted building, and Reasoning Systems for governed decision intelligence.

People: Scaling the Expertise Behind Enterprise AI

AI success depends on more than models. It depends on whether the people who understand the business can shape how AI works. Dataiku helps domain experts, analysts, data teams, and AI teams build together - turning institutional knowledge into governed agents, workflows, and decision systems that reflect real business logic.

Dataiku expands who can build AI without expanding risk. Teams can move beyond isolated models and generic agents toward AI systems grounded in the expertise, workflows, and decisions that actually run the business.

Orchestration: Flexible by Design Across the AI Ecosystem

As enterprise AI environments grow more complex, flexibility becomes a critical requirement. Dataiku is the orchestration layer for data, models, and AI agents, equipping organizations to manage workflows across disparate systems and environments. This architectural flexibility allows enterprises to integrate with a wide range of data platforms, cloud providers, and AI technologies while avoiding lock-in to a single stack, ensuring long-term technical freedom and adaptability as the AI landscape evolves.

Governance: Control AI at Scale, Without Slowing It Down

Scaling AI introduces new levels of risk and complexity, driving the need for greater observability and control. Dataiku addresses this with integrated governance capabilities designed to support stakeholders across technical and business roles. Organizations can maintain visibility, enforce policies to meet corporate and regulatory compliance, and manage risk across all of their AI initiatives. This built-in approach to governance ensures that as AI systems become more autonomous, they remain controlled, compliant, trusted, and aligned with the requirements for achieving enterprise AI at scale.

About Dataiku

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

Gartner Disclaimer:

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 of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT, and PEER INSIGHTS is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates.

Fonte: Business Wire

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