Magic Quadrant for Data Science and Machine-Learning Platforms

Published: 22 February 2018 ID: G00326456

Analyst(s): Carlie Idoine | Peter Krensky | Erick Brethenoux | Jim Hare | Svetlana Sicular | Shubhangi Vashisth

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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.

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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Magic Quadrant for Data Science and Machine-Learning Platforms

Analyst(s): Carlie Idoine | Peter Krensky | Erick Brethenoux | Jim Hare | Svetlana Sicular | Shubhangi Vashisth

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Summary

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