Dataiku: Challenging the Status Quo

Dataiku was named a Challenger in the Gartner 2019 Magic Quadrant for Data Science and Machine-Learning Platforms.

The Gartner 2019 Magic Quadrant for Data Science and Machine-Learning Platforms

Access a complimentary copy of the Gartner 2019 Magic Quadrant for Data Science and Machine-Learning Platforms to see why Dataiku was named a Challenger.

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Magic Quadrant for Data Science & ML Platforms

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Read on to see how Dataiku provides the scalable path to Enterprise AI through collaboration across and between data science roles, seamless operationalization, and transparency around the data-to-insights process.

Dataiku: For Everyone in the Data-Powered Enterprise Watch Video

Dataiku Is…

 

  • INCLUSIVE: Dataiku provides one simple UI for data wrangling, mining, visualization, machine learning, and deployment based on a collaborative and team-based user interface accessible to anyone on a data team, from data scientist to beginner analyst.
  • PREVALANT: The transformation to AI must be global within organizations, not confined to specific teams or roles. That requires the support of hybrid deployment models plus the ability to elastically scale to match data location and cost constraints.
  • SUSTAINABLE: As today’s discussions surrounding AI shift, Dataiku provides the infrastructure and framework that allow machine learning to become more transparent, interpretable, and ethical, instilling trust in the work of data teams.

Magic Quadrant for Data Science and Machine Learning Platforms

 

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 Magic Quadrant for Data Science and Machine Learning Platforms, Carlie Idoine, Peter Krensky, Erick Brethenoux, Alexander Linden, 28 January 2019. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved. 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 or other designation. 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.

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