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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.

Leader: IBM

IBM won the bronze medal for execution on the Magic Quadrant and ranks among the middle of the pack for vision. The Armonk, N.Y.-based company’s core product is IBM Watson Studio on IBM Cloud Pak for Data, a modular and extensible platform for data and AI that combines a broad set of descriptive, diagnostic, predictive and prescriptive capabilities. IBM delivers a modern offering that draws on its roots in SPSS, ILOG CPLEX Optimization Studio and earlier products that benefit from a stream of innovation from IBM Research.

Strengths: IBM offers extensive support for explainability, bias, fairness, accuracy and drift monitoring, synthetic data and differential privacy, Gartner said. Its platform provides strong governance support with lineage, policies and rules in its catalog, as well as security.

Weaknesses: Although the cohesion of Watson Studio on IBM Cloud Pak for Data has improved, there remains confusion among potential customers as to which products and licenses are needed for which configurations, according to Gartner, which said this increases concerns about licensing costs.

 
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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