Gartner Research

Benefits and Compromises of Open-Source and Corporate Software Suites for Advanced Analytics

Published: 08 June 2015

ID: G00277569

Analyst(s): Mark Driver , Alan D. Duncan , Alexander Linden


Many of the most advanced organizations are consciously trading off people skills against expensive tools by utilizing open-source tools like R, Python, Spark, KNIME and RapidMiner. Here, we highlight for analytics leaders what those trade-offs are.

Table Of Contents
  • Key Challenges



  • Combine Corporate Software With Open-Source Software to Enable a Bimodal Approach
  • Monitor Market Developments by Advanced Analytics Solution Providers
  • R and Python Are Crucial, and Resilience and Robustness Are Paramount
  • Make Investment Decisions for Advanced Analytics Based on Overall ROI and TCO
  • Appendix
    • GitHub
    • Stack Overflow

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