Magic Quadrant for Data Science and Machine-Learning Platforms


Published: 22 February 2018 ID: G00326456

Analyst(s): | | | | |

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Summary

Data science and machine-learning platforms enable organizations to take an end-to-end approach to building and deploying data science models. This Magic Quadrant evaluates 16 vendors to help you identify the right one for your organization's needs.

Table of Contents

  • Market Definition/Description
  • Magic Quadrant
    • Vendor Strengths and Cautions
      • Alteryx
      • Anaconda
      • Angoss
      • Databricks
      • Dataiku
      • Domino
      • H2O.ai
      • IBM
      • KNIME
      • MathWorks
      • Microsoft
      • RapidMiner
      • SAP
      • SAS
      • Teradata
      • TIBCO Software
    • Vendors Added and Dropped
      • Added
      • Dropped
  • Inclusion and Exclusion Criteria
  • Evaluation Criteria
    • Ability to Execute
    • Completeness of Vision
    • Quadrant Descriptions
      • Leaders
      • Challengers
      • Visionaries
      • Niche Players
  • Context
  • Market Overview
  • Gartner Recommended Reading
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