Gartner Research

Gartner Magic Quadrant for Data Science and Machine Learning Platforms

Summary

Expert data scientists, citizen data scientists and application developers require professional capabilities for building, deploying and managing analytical models. New vendors to this Magic Quadrant, along with changes in the positions of others, reflect a dynamic market that is evolving rapidly.

Published: 28 January 2019

ID: G00354456

Analyst(s): Carlie Idoine Peter Krensky Erick Brethenoux Alexander Linden

Table Of Contents

Market Definition/Description

Magic Quadrant

  • Vendor Strengths and Cautions
    • Alteryx
    • Anaconda
    • Databricks
    • Dataiku
    • DataRobot
    • Datawatch (Angoss)
    • Domino
    • Google
    • H2O.ai
    • IBM
    • KNIME
    • MathWorks
    • Microsoft
    • RapidMiner
    • SAP
    • SAS
    • TIBCO Software
  • Vendors Added and Dropped
    • Added
    • Dropped

Inclusion and Exclusion Criteria

  • Gate 1: Revenue and Number of Paying Customers
  • Gate 2: Reference Customer Counts
  • Gate 3: Product Capability Scoring
  • Honorable Mentions

Evaluation Criteria

  • Ability to Execute
  • Completeness of Vision
  • Quadrant Descriptions
    • Leaders
    • Challengers
    • Visionaries
    • Niche Players

Context

Market Overview

Gartner Recommended Reading

  • Ability to Execute
  • Completeness of Vision
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