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
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
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Market Definition/Description
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Magic Quadrant
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Vendor Strengths and Cautions
- Alteryx
- Anaconda
- Angoss
- Databricks
- Dataiku
- Domino
- H2O.ai
- IBM
- KNIME
- MathWorks
- Microsoft
- RapidMiner
- SAP
- SAS
- Teradata
- TIBCO Software
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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