RedMonk Analytics: Why, How and What

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RedMonk Analytics: Why, How and What

  1. 1. RedMonk Analytics:Why, How and What
  2. 2. WHY
  3. 3. What IT Decision Makers Think is Being Used CIOWhat Developers Want to Use What is Actually Being Used DEVELOPERS
  4. 4. HOW
  5. 5. OUR DATA, FIRST
  6. 6. THEN, OTHERS’
  7. 7. THE THREE STAGES OF DATA ACCEPTANCE
  8. 8. 1DENIAL
  9. 9. “I’m sure that we don’thave any useful data to share.”
  10. 10. 2ACCEPTANCE
  11. 11. “Oh, right, data like whichbuilds people download?Yeah, we actually do have that.”
  12. 12. 3WOW
  13. 13. “Our own data can tell us WHAT?”
  14. 14. WHAT
  15. 15. RedMonk: The Rise of Chrome
  16. 16. RedMonk: What Devs Ask Us (Past 30)1.  Mongodb vs MySQL2.  Facebook PHP HipHop Cassandra3.  Importance of Software4.  Cloud Certification5.  OpenShift6.  DynamoDB7.  Java is Dead8.  Is Java Dead9.  Facebook Cassandra10.  Monkigras
  17. 17. RedMonk: What Devs Ask Us (Since 1.10)1.  Node.js2.  Nodejs3.  Open Source CMDB4.  MongoDB vs MySQL5.  OpenShift6.  SaaS Cloud Computing7.  CMDB Open Source8.  Facebook Cassandra9.  Hadoop Usage10.  Amazon RDS
  18. 18. Black Duck: The Rise of GitHub
  19. 19. Black Duck: The Rise of JavaScript
  20. 20. AppFog: Deal Size vs Volume Normalized Total Deals Normalized Deal Size 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010Source: National Venture Capital Association and the UNH Center for Venture ResearchCredit: Chris Tacy
  21. 21. LinkedIn: Community Growth
  22. 22. GitHub: Most Popular Languages 1.  JavaScript2.  Ruby3.  Python4.  Shell5.  Java
  23. 23. GitHub: Most Popular Language Trends
  24. 24. DATA IS YOUR FRIEND

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