Magic Quadrant for Data Science Platforms


Archived Published: 14 February 2017 ID: G00301536

Analyst(s): | | | | |

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Summary

Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization.

Table of Contents

  • Market Definition/Description
  • Magic Quadrant
    • Vendor Strengths and Cautions
      • Alpine Data
      • Alteryx
      • Angoss
      • Dataiku
      • Domino Data Lab
      • FICO
      • H2O.ai
      • IBM
      • KNIME
      • MathWorks
      • Microsoft
      • Quest
      • RapidMiner
      • SAP
      • SAS
      • Teradata
    • 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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