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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.

Visionary: DataRobot

DataRobot ranks among the middle of the pack for both vision and execution on Gartner’s Magic Quadrant. The Boston-based company’s Enterprise AI Platform consists of Paxata Data Preparation, Automated Machine Learning, Automated Time Series, MLOps and AI applications. DataRobot’s augmented approach enables citizen and expert data scientists to productively use data science. DataRobot delivers trusted AI through its Humble AI initiative that enables prediction quality management.

Strengths: DataRobot’s simplified pricing structure and self-service trial drives consistent addition of new customers and growth within its existing customer base. In addition, its acquisition of Paxata in 2019, which focuses on data preparation, is an example of DataRobot’s use of acquisitions to fill functionality gaps in its platform.

Weaknesses: Although it is strengthening its capabilities in model management and data access, Gartner said DataRobot still has capability gaps in areas such as other advanced analytics, including decision modeling.

 
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.

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