Gartner recently published its 2018 Magic Quadrant for Data Science and Machine-Learning Platforms which provides buyers with a guide to the plethora of products used by data scientists. DataRobot chose not to participate in this study because we believe it paints a too broad brush view to provide clarity. Most Magic Quadrants help you identify one supreme leader for purchase, but in this case, pitting complementary tools against each other is not consistent with how data science pipelines are built, and fuels vendor marketing hype, confusing buyers.
DataRobot enjoys an excellent relationship with Gartner. Gartner analysts field lots of calls about us and we encourage anyone serious about DataRobot to raise an inquiry call with Gartner. When Gartner launches a dedicated Magic Quadrant for automated machine learning (or augmented data science, as they have referred to it) we will happily participate. In the meantime, we hope to see you at the Innovative Analytics in Action session on March 5th during the Gartner Data & Analytics Summit 2018, where our data scientists will be on stage demonstrating how DataRobot supports augmented data science.
About the Author:
Bob Laurent is a Sr. Director of Product Marketing at DataRobot, the leader in automated machine learning. Prior to DataRobot he ran product marketing at Alteryx, where he was responsible for driving awareness and growing a loyal customer base of empowered data analysts. Before joining Alteryx in 2011 he spent nearly 20 years in various marketing, media relations, and telecom network engineering roles, including management positions at New York Telephone/NYNEX (now Verizon) and Fujitsu Network Communications. Bob resides in Dallas with his wife and two boys, and holds a Bachelor of Science degree from Clarkson University, plus an MBA from New York University's Stern School of Business.