Dataiku Named Challenger in Gartner 2019 Magic Quadrant for Data Science and Machine-Learning Platforms

Dataiku Company, Dataiku Product Lynn Heidmann

Closely following December’s Series C funding announcement, we’re pleased to share that Dataiku has been named a Challenger in the Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms.

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With this announcement, we’re excited to sustain the momentum from 2018 and continue to put more businesses on the path to Enterprise AI in 2019. Dataiku is offering a complimentary copy of the Gartner 2019 Magic Quadrant for Data Science and Machine-Learning Platforms.

get your copy of the report

What Dataiku Brings to the Table

From the very beginning here at Dataiku, we’ve always fostered the idea of data democratization. But it’s not just talk - the Dataiku team has been working hard (though our product offering, but also through devotion to data meetup communities, non-profit and education advancement, and more) to ensure that data teams and departments around the world can succeed:

  1. 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.
  2. Dataiku delivers a shortcut to machine learning and AI deployment/management, making data science more accessible and intuitive for the less experienced (and more streamlined, stable, and repeatable for those who still prefer to code).
  3. Dataiku is the scalable path to operationalization, allowing enterprises to go from raw data to prototyping/sandbox to production easily.

Learn More

If you want to learn more about how the right tools can not only help retain data scientists, but help the business succeed, check out the white paper Why Teams Need Data Science Platforms.

Or for complimentary access of the Gartner 2019 Magic Quadrant for Data Science and Machine-Learning Platforms - right this way.

 get your copy of the report


Gartner Magic Quadrant for Data Science and Machine Learning Platforms, Carlie Idoine, Peter Krensky, Erick Brethenoux, Alexander Linden, 28 January 2019. 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.

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.

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