Dataiku Data Sheet

Everyday AI, Extraordinary People

Learn About Dataiku

Dataiku is the platform for Everyday AI, enabling data and domain experts to work together to build AI into their daily operations.

Read the Dataiku Data Sheet for an in-depth description of our platform's architecture, technical capabilities, and components. 

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AN IN-DEPTH LOOK AT DATAIKU FOR DATA & IT DECISION MAKERS

Discover
the Universal
AI Platform

Say Goodbye to Disparate Tools
& Hello to Dataiku

Dataiku is one single AI platform for all your needs today and tomorrow. Read the Dataiku Data Sheet for an in-depth description of our platform's architecture, technical capabilities, and components. 
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413% ROI With Dataiku

More than 600 companies worldwide use Dataiku, bringing together experts from across their organizations for faster time to value on data and AI projects.

According to Forrester: The Total Economic Impact™ Of Dataiku, organizations see benefits of $23.5 million over three years and an ROI of 413% with Dataiku.

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"Dataiku is an impressive Data Science tool that is constantly improving and that we consider way ahead of the competition, at least in our use cases."

— IT Services Associate, Healthcare and Biotech (Feb. 26, 2024) Source
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"Comprehensive platform with great support."

Source— IT Manager in the manufacturing industry (Dec. 14, 2023) Source
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"Governed, sustainable data science with Dataiku."

— IT Director in the manufacturing industry (Dec. 21, 2023) Source
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"Dataiku is a real accelerator for a company embarking on the AI journey, aiming to bringIT and business on the same platform."

— IT Manager in the retail industry (Dec. 11, 2023) Source

“Bringing in a platform like Dataiku — purpose-built for modeling and algorithms to run for predictability — has accelerated our processes.”

— Joe DelPercio, Head of Data & Analytics and AI, Zeus
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One Unified Platform

For the Entire Data & AI Lifecycle

End-to-End Platform

Take advantage of Dataiku’s single platform for design and production that covers the full lifecycle of data and AI projects. 

Enterprise-Wide Usability

Easily used by the entire organization, enabling seamless collaboration with all teams and skillsets.

Modular Architecture

Connect to existing infrastructure and integrate with all the latest and greatest technology of today and tomorrow.

Governance Framework

Safely scale AI with oversight. Work in a safe and governed way that helps manage risk and create trust. 

A Leader in the 2024 Gartner® Magic Quadrant™ for DSML 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 don’t have to choose between enabling transformation and maintaining control.

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. 

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