Enabling the AI-Driven Enterprise

Leading the way into the next era of data science

Learn why DataRobot is included for the first time as a Visionary in the 2019 Gartner Magic Quadrant for Data Science and Machine Learning Platforms.

AI You Can Trust

DataRobot invented augmented data science and automated machine learning. With a library of hundreds of the most powerful open source machine learning algorithms, the DataRobot platform encapsulates best practices and safeguards to accelerate enterprise scale data science capabilities while maximizing transparency, accuracy and collaboration. Organizations can confidently build, deploy, and monitor high quality, explainable machine learning models in a fraction of the time it takes using traditional data science methods with existing teams and talent.

View this valuable research from Gartner today:

  • Get the latest insight on the data science and machine learning market
  • See how augmented data science capabilities compare to traditional approaches
  • Make an informed decision about the data science platform that’s best for you

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

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 DataRobot. 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 organisation 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.