RedMonk Analytics: Why, How and What
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Transcript of RedMonk Analytics: Why, How and What
RedMonk Analytics: Why, How and What
WHY
What IT Decision Makers Think is Being Used
CIO
DEVELOPERS
What Developers Want to Use
What is Actually Being Used
HOW
OUR DATA, FIRST
THEN, OTHERS’
THE THREE STAGES OF DATA ACCEPTANCE
1 DENIAL
“I’m sure that we don’t have any useful data to
share.”
2 ACCEPTANCE
“Oh, right, data like which builds people download? Yeah, we actually do have
that.”
3 WOW
“Our own data can tell us WHAT?”
WHAT
RedMonk: The Rise of Chrome
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
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
Black Duck: The Rise of GitHub
Black Duck: The Rise of JavaScript
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
LinkedIn: Community Growth
GitHub: Most Popular Languages 1. JavaScript
2. Ruby 3. Python 4. Shell 5. Java
GitHub: Most Popular Language Trends
DATA IS YOUR FRIEND