Advertisement

Cloud News

Top 20 Data Science And Machine Learning Platforms: Gartner

Mark Haranas

From AWS, Google and Microsoft to IBM, SAS and MathWorks, here are the 20 data science and machine learning platforms leading the global market today.

Gartner Methodology

Gartner defines a data science and machine learning platform as a core product and supporting portfolio of integrated products, components, libraries and frameworks—from proprietary to open source.

In addition to meeting Gartner’s definition of a true DSML platform, vendors needed to have one or more license models such as SaaS, perpetual or consumption-based. Vendors also needed to have at least $75 million in combined license revenue and have significant cross-industry and geographical traction for each core product.

Gartner’s Magic Quadrant ranks vendors on their ability to execute and completeness of vision and places them in four categories: Niche Players (low on vision and execution), Visionaries (good vision but low execution), Challengers (good execution but low vision) and Leaders (excelling in both vision and execution).

 
Mark Haranas

Mark Haranas is an assistant news editor and longtime journalist now covering cloud, multicloud, software, SaaS and channel partners at CRN. He speaks with world-renown CEOs and IT experts as well as covering breaking news and live events while also managing several CRN reporters. He can be reached at mharanas@thechannelcompany.com.

Advertisement
Advertisement
Sponsored Post
Advertisement
Advertisement