With the recent publication of Gartner’s Magic Quadrant for Advanced Analytics, we wanted to know how proprietary data science software vendors were faring against open source challengers. We discovered compelling evidence that open source tools have had a dramatic impact on SAS, IBM, Microsoft and others.
We also investigated how open source tools were faring against each other. Which tools have seen the most growth, and which are falling behind? And what of the R versus Python debate?
Inspired by RedMonk’s Programming Language Rankings, we utilized search data from Google Trends and StackOverflow question volume to conduct our investigation. The tools we studied include popular open source and proprietary software used by data science teams.
http://blog.dominodatalab.com/open-source-winning-against-proprietary-data-science-vendors/