redmonk analytics: why, how and what

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RedMonk Analytics: Why, How and What

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Page 1: RedMonk Analytics: Why, How and What

RedMonk Analytics: Why, How and What

Page 2: RedMonk Analytics: Why, How and What

WHY

Page 3: RedMonk Analytics: Why, How and What

What IT Decision Makers Think is Being Used

CIO

DEVELOPERS

What Developers Want to Use

What is Actually Being Used

Page 4: RedMonk Analytics: Why, How and What

HOW

Page 5: RedMonk Analytics: Why, How and What

OUR DATA, FIRST

Page 6: RedMonk Analytics: Why, How and What

THEN, OTHERS’

Page 7: RedMonk Analytics: Why, How and What

THE THREE STAGES OF DATA ACCEPTANCE

Page 8: RedMonk Analytics: Why, How and What

1 DENIAL

Page 9: RedMonk Analytics: Why, How and What

“I’m sure that we don’t have any useful data to

share.”

Page 10: RedMonk Analytics: Why, How and What

2 ACCEPTANCE

Page 11: RedMonk Analytics: Why, How and What

“Oh, right, data like which builds people download? Yeah, we actually do have

that.”

Page 12: RedMonk Analytics: Why, How and What

3 WOW

Page 13: RedMonk Analytics: Why, How and What

“Our own data can tell us WHAT?”

Page 14: RedMonk Analytics: Why, How and What

WHAT

Page 15: RedMonk Analytics: Why, How and What

RedMonk: The Rise of Chrome

Page 16: RedMonk Analytics: Why, How and What

RedMonk: What Devs Ask Us (Past 30) 1.  Mongodb vs MySQL 2.  Facebook PHP HipHop Cassandra 3.  Importance of Software 4.  Cloud Certification 5.  OpenShift 6.  DynamoDB 7.  Java is Dead 8.  Is Java Dead 9.  Facebook Cassandra 10.  Monkigras

Page 17: RedMonk Analytics: Why, How and What

RedMonk: What Devs Ask Us (Since 1.10) 1.  Node.js 2.  Nodejs 3.  Open Source CMDB 4.  MongoDB vs MySQL 5.  OpenShift 6.  SaaS Cloud Computing 7.  CMDB Open Source 8.  Facebook Cassandra 9.  Hadoop Usage 10.  Amazon RDS

Page 18: RedMonk Analytics: Why, How and What

Black Duck: The Rise of GitHub

Page 19: RedMonk Analytics: Why, How and What

Black Duck: The Rise of JavaScript

Page 20: RedMonk Analytics: Why, How and What

AppFog: Deal Size vs Volume

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

Normalized Total Deals

Normalized Deal Size

Source: National Venture Capital Association and the UNH Center for Venture Research Credit: Chris Tacy

Page 21: RedMonk Analytics: Why, How and What

LinkedIn: Community Growth

Page 22: RedMonk Analytics: Why, How and What

GitHub: Most Popular Languages 1.  JavaScript

2.  Ruby 3.  Python 4.  Shell 5.  Java

Page 23: RedMonk Analytics: Why, How and What

GitHub: Most Popular Language Trends

Page 24: RedMonk Analytics: Why, How and What

DATA IS YOUR FRIEND