Gartner new 2017 Magic Quadrant for Data Science Platforms (called in 2016 « Advanced Analytics Platforms ») was published last week. The 2017 report evaluated a new set of 16 analytics and data science firms over 15 criteria and placed them in 4 quadrants, based on completeness of vision and ability to execute.
While open source platforms like Python and R play an important role in the Data Science market, Gartner research methodology does not include them, so this report evaluates only commercial vendors.
Fig. 1: Gartner 2017 Magic Quadrant for Data Science Platforms
- Leaders (4): IBM, SAS, RapidMiner, KNIME
- Challengers (4): MathWorks (new), Quest (formerly Dell), Alteryx, Angoss
- Visionaries (5): Microsoft, H2O.ai (new), Dataiku (new), Domino Data Lab (new), Alpine Data
- Niche Players (3): FICO, SAP, Teradata (new)