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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: Microsoft

Microsoft ranks among the top of the pack for vision on Gartner’s Magic Quadrant and among the middle of the pack for execution. The Redmond, Wash.-based software and cloud giant offers its Azure Machine Learning with supporting products including Azure Data Factory, Azure Data Catalog, Azure HDInsight, Azure Databricks, Azure DevOps, Power BI and other components. Microsoft earned the highest ability to execute score by Gartner out of the large cloud providers.

Strengths: Azure ML offers strong capabilities for the needs of enterprise data science with MLOps capabilities including a registry of packages, models and support for streamlined creation of reproducible ML pipelines. Azure ML comes with differentiated security and governance capabilities and supports compute quota and cost management capabilities.

Weaknesses: The majority of Azure ML customers operate in purely cloud environments. Some capabilities within the Azure ML portfolio become more complicated in hybrid, multi-cloud or on-premises environments.

 
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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