Gartner Research

How to Choose the Right Data Science and Machine Learning Platform


The data science and machine learning platform market is crowded and complicated. To choose correctly, data and analytics leaders must assess their organization’s analytics maturity, define business-driven requirements and segment vendors’ platforms into clusters for evaluation.

Published: 12 March 2019

ID: G00382503

Analyst(s): Carlie Idoine Jim Hare

Table Of Contents
  • Key Challenges



  • Assess Your Current Data Science and Machine Learning Maturity
  • Assess the End-to-End Analytic Pipeline and Life Cycle
  • Segment Platforms Into Appropriate Clusters to Assess Similarities and Differences
  • Evaluate Vendor and Platform Capabilities and Market Trends
  • Invest in Hiring and Skills Building for the Data Science Team

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