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DataRobot Enters as a Visionary in the 2019 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

January 30, 2019

BOSTON, MA – January 30, 2019 – DataRobot, the category creator and leader in automated machine learning, today announced that it was named a Visionary in Gartner’s 2019 Magic Quadrant for Data Science and Machine Learning Platforms, recognized for completeness of vision. This recognition marks the first time DataRobot has been positioned in Gartner’s annual report.

The 17 data science vendors selected for the 2019 report had to meet revenue and customer count thresholds (by region and industry) and were scored on 15 critical capabilities across four use-case scenarios.

“We are proud to have been recognized as a Visionary by Gartner – especially with this being our first time in a Magic Quadrant report,” said Jeremy Achin, founder and CEO of DataRobot. “We believe that our Visionary position validates our role ushering in a new era of data science and machine learning. As the creator of automated machine learning, we uniquely enable organizations to democratize and accelerate their data science capabilities – and ultimately capture the insights needed to steer market-leading businesses. As we continue to scale and offer additional end-to-end data science capabilities, we look forward to helping more organizations around the world transform into AI-driven enterprises.”

2018 marked DataRobot’s third consecutive year of triple-digit growth. Having secured $100 million in Series D funding in October 2018 – bringing its total funding to $225 million – the company continues to invest in its category-defining automated machine learning solution. Building on its success working with customers spanning six continents and dozens of industries including financial services, healthcare, insurance and manufacturing, DataRobot also remains committed to expanding its reach into new markets.

Jameson Stillwell, senior statistician at Credigy, a DataRobot customer, said: “DataRobot is the best proprietary machine learning tool I have come across. It has freed up countless hours to focus on the more nuanced parts of modeling. As a result of having more time to challenge and improve our own modeling skills, the models we produce are always improving.”

A complimentary copy of the 2019 Gartner Magic Quadrant for Data Science and Machine Learning Platforms is available to view on the DataRobot website. You can also visit DataRobot at several Gartner Data & Analytics Summit 2019 events, including the Feb. 18-19 conference in Sydney (Australia) and the March 18-21 conference in Orlando, FL (US).

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

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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.

About the Gartner Data & Analytics Summit
Data and analytics leaders are fueling digital transformation, creating monetization opportunities, improving the customer experience and reshaping industries. The Gartner Data & Analytics Summit provides the tools to build on the fundamentals of data management, business intelligence (BI), and analytics; harness innovative technologies such as artificial intelligence (AI), blockchain and the Internet of Things (IoT); and accelerate the shift toward a data-driven culture to lead the way to better business outcomes.

About DataRobot
DataRobot is the category creator and leading provider of automated machine learning. Organizations worldwide use DataRobot to empower the teams they already have in place to rapidly build and deploy machine learning models and create advanced AI applications. With a library of hundreds of the most powerful open source machine learning algorithms, the DataRobot platform encapsulates every best practice and safeguard to accelerate and scale data science capabilities while maximizing transparency, accuracy and collaboration.

By making data scientists more productive and enabling the democratization of data science, DataRobot helps organizations transform into AI-driven enterprises. With offices around the globe, DataRobot is backed by $225 million in funding from top-tier firms, including New Enterprise Associates, Sapphire Ventures, Meritech and DFJ. For more information, visit www.datarobot.com, and join the conversation on Twitter and LinkedIn.



Kristen Leathers
Version 2.0 Communications for DataRobot

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