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3x Leader

The New 2024 Magic Quadrant™ for Data Science & ML Platforms

See why Dataiku is not only a Leader but also furthest on the "Completeness of Vision" axis. We believe with Dataiku, the universal AI platform, you can unite your technology, people, and processes in one central place to succeed in the era of Generative AI.







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The Gartner Magic Quadrant™ for DSML Platforms 


Why We Think You Should
Choose Dataiku?

Generative AI is here to stay, but different technologies and providers come and go. Dataiku is independent of any one provider, connecting to existing infrastructure and integrating with all the latest and greatest technology of today and tomorrow.

We believe that's why Dataiku is the Leader in the Gartner Magic Quadrant™ for Data Science & Machine Learning Platforms with the most “Completeness of Vision.” 


We believe that our commitment to cross-profile collaboration makes us the people-first AI platform of choice.

See why people across the enterprise, from data leaders to data scientists to data consumers, love using Dataiku for diverse use cases, from advanced analytics to Generative AI.


Dataiku Is a Leader & the Universal AI Platform

Dataiku is the only platform on the market that unifies all your data work, from analytics to Generative AI, for max Return on AI.

Support Everyone

Unite people across teams (from data to domain experts) in working with data, meeting them where they are with no, low, and full-code features. 

Bring Generative AI to Life

Dataiku brings enterprise-grade development tools, pre-built use cases, and AI-powered assistants to help everyone do more with Generative AI. 

Accelerate the Pace of AI

Deploy full-fledged AI solutions in days and weeks, not months or years. Dataiku customers routinely cite a 60%-80% reduction in time spent to go from data and AI project ideation to production.

“Highly satisfied with how Dataiku has accelerated our expansion of data science activities by enabling transparency, collaboration, industrialization, and organizational upskilling.”

— VP, Global Commercial Data Science in the health care and biotech industry (April 12, 2024) | Source

"Dataiku has bridged the gap between the technical and non-technical individuals. The team are knowledgeable and always willing to support at all levels to grow and develop our internal teams working towards a more data literate organization."

— Head of Data in the insurance industry (Dec. 12, 2023) | Source

"Dataiku stands out with a user-friendly interface, flexibility in model development processes, and collaboration competencies."

— Data Science Team Manager in the IT services industry (Dec. 20, 2023) | Source

“If you want to be data driven, choose Dataiku."

— Data and Analytics Manager in the services industry (Jan. 2, 2024) | Source

Get the 2024 Gartner Magic Quadrant™ for DSML Platforms

Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Aura Popa, Peter Krensky, Jim Hare, Raghvender Bhati, Maryam Hassanlou, Tong Zhang, 17 June 2024. 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.