Magic Quadrant for Data Science Platforms

Analyst(s): Alexander Linden | Peter Krensky | Jim Hare | Carlie J. Idoine | Svetlana Sicular | Shubhangi Vashisth
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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
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Market Definition/Description
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Magic Quadrant
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Vendor Strengths and Cautions
- Alpine Data
- Alteryx
- Angoss
- Dataiku
- Domino Data Lab
- FICO
- H2O.ai
- IBM
- KNIME
- MathWorks
- Microsoft
- Quest
- RapidMiner
- SAP
- SAS
- Teradata
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Vendors Added and Dropped
- Added
- Dropped
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Vendor Strengths and Cautions
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Inclusion and Exclusion Criteria
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Evaluation Criteria
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Ability to Execute
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Completeness of Vision
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Quadrant Descriptions
- Leaders
- Challengers
- Visionaries
- Niche Players
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Ability to Execute
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Context
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Market Overview
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Gartner Recommended Reading