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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: Amazon Web Services

Amazon Web Services (AWS) ranks among the middle of the pack for both vision and execution on Gartner’s Magic Quadrant. The Seattle-based cloud titan’s vision is for data science teams to use the entire AWS portfolio and machine learning stack, with Amazon SageMaker at its core. Many supporting AWS offerings were considered in Gartner’s evaluation, including SageMaker Studio IDE, Amazon EMR including S3, AWS Glue, Amazon SageMaker Neo, AWS CloudWatch and AWS CloudTrail, to name a few.

Strengths: Users can directly leverage AWS’s prepackaged AI services such as Amazon Lex and Transcribe. SageMaker, which is natively integrated with AWS’ cloud data and analytics tools, provides extensive support for a broad range of popular and niche open-source software libraries and frameworks.

Weaknesses: Gartner said AWS’ flurry of new components and services is filling important gaps. However, these new capabilities are neither as proven nor as strong as other vendors’ capabilities for data preparation, user interfaces, collaboration and coherence.

 
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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