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State of Big Data Markets

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  • 1. State of Big Data Markets Kyle Redinger @kyleredinger Co-Founder, VividCortex
  • 2. Key Takeaways Everything is Digital Data stores are behind everything More and more data is being produced Data Growth Data will grow 50x by 2020; budgets will only grow 1.5x Technology Key enablers have driven data growth, but new opportunities exist Human Limits Humans need tools to help them manage performance; systems are inherently complex
  • 3. The World is Changing The Internet of Everything
  • 4. Your Travel Remembered Kyle’s December Travels Visualization from Google
  • 5. Your Body Recorded
  • 6. Your World Measured Voronoi Diagram of 2.5 Million Weather Stations
  • 7. Your Communications Tapped
  • 8. Why All this Data? THE MONEY Advertising, lead generation, services, recommendations, business development, data brokering, cohort analysis, sales funnels, customer insight, new products, new markets, more value etc. THE TECHNOLOGY With legacy licensing and technologies, Big Data is too expensive (i.e. Oracle Exadata clusters $1 to $5 million)… But, with cheaper technologies, Big Data is the reality and many new opportunities are created (i.e. Hadoop + basic machines, $100k to $500k)
  • 9. Big Data What is it? Hype Internet of Everything + + Anything That Doesn’t Fit in Excel Volume, Variety, Velocity BS Reality
  • 10. The Problem Data In 5 Years 50x Growth IT Staff & Budgets 1.5x Growth Data & Servers Headcount IT Budgets With data growing quickly, and IT budgets not growing, large gaps between humans and systems will cause problems for companies
  • 11. The Enablers Virtualization Open Source Cloud Computing Growth of Data Management Tools Moore’s Law Data Storage Smart People & Process
  • 12. Open Source High Quality, Growth & Culture 2/3rds of IT Leaders Will Purchase 50% of Software as Open Source 2 Million Open Source Projects in 2014 Reduced Operating Cost, Feature Direction, Community Value Open Source is Eating the World ($500+ Million invested in 2013)
  • 13. Moore’s Law Exponential increase in performance per dollar, but reaching limits 300 250 200 150 Cost Performance 100 50 0 1996 1998 2000 2002 2004 2006 2008 2010 2012 Hardware continues to be less expensive with better performance
  • 14. Virtualization Application One piece of hardware can run many different things. APP APP APP OS OS OS Operating System Virtualization Hardware Hardware Virtualization enabled sharing of underutilized resources
  • 15. Cloud Moving computing power from capex to utility pricing APP APP APP Fortune 500 Client OS OS OS 80% Virtualization VividCortex Hardware 15% Startup 2 15% $110 Billion Market, 18% CAGR through 2016
  • 16. Tech Model Application(s) APP 1 Simplified. APP 2 APP 4 APP 3 Network Data Storage
  • 17. Performance Management Tools Application, Network & Database Moore’s Law Limits Hardware can’t solve all the problems; data is growing faster than the cost reduction in hardware performance Market Size $2.5 billion today; growing to $3.6 billion within 4 years Big Money Downtime, slowness, lost data, bad responsiveness, missed SLAs, etc all destroy value Human Limits Humans need tools to help them manage performance; systems are inherently complex
  • 18. Database & Data Storage When we talk about databases, what are they? Definition Organized collection of data and “dumb.” Technologies Oracle, SQL Server, MySQL, DB2, PostgreSQL, MongoDB, Hadoo p … and 100s more Challenge Database technology isn’t innately scalable; i.e. humans need to build systems around the database to make them work Market Size $25 + Billion (Technology, Services, Tools, Consulting) and Growing Fast
  • 19. State of Leading Data Storage Markets Closed source model can’t compete with open source/core model LICENSE SHARE ADOPTION TOOLS SERVICES ORACLE $$$$$$ LEADER; DECLINE ENTERPRISE MATURE MATURE SQL Server $$$$ LEADER; DECLINE ENTERPRISE MATURE MATURE DB2 $$$$$$ DECLINE ENTERPRISE MATURE MATURE MySQL FREE LEADER EVERYONE MEDIUM MEDIUM Hadoop FREE HYPE EVERYONE BASIC BASIC MongoDB FREE HYPE EVERYONE BASIC BASIC OPEN SOURCE DATABASES SCALE FINANCIALLY WITH BIG DATA
  • 20. Data Storage Market Share of Leading Vendors Others $3.3 B Microsoft (SQL Server) $25 Billion Market & Growing 16% Y/Y Open Source Has Massive Install Base $4.0 B IBM (DB2) $4.9 B Oracle $11.8 B $- $5.0 B $10.0 B $15.0 B
  • 21. Why Are Tools Important OPEN SOURCE Total Cost of Ownership of a Small Enterprise Project ORACLE UP FRONT $0 $423,000 $166,000 $397,000 SUPPORT FEES $15,600 $106,760 ADMIN & DEVELOPMENT $90,000 $180,000 $482,200 $1,680,280 LICENCES SETUP & HARDWARE TOOL GAP RECURRING 3 YEARS TOOL GAP
  • 22. Current Tools VividCortex Solution DISCOVERING PROBLEMS • False/Missed Alarms • Threshold-based • Adaptive Fault Detection • Zero-config, no-threshold, real-time, efficient DIAGNOSIS • Low resolution charts • Application Focus • High res workload analysis • Problem DNA • Database Focus TIME, COST & STAFF • Long & expert troubleshooting • Open source command-line • Not scalable • Faster humans • SaaS, Modern GUI • Cloud-ready and dynamic
  • 23. The Future of Data Management Gaps in Human Data Management Capacity Open Source Solutions New Vendors & Disruptors Decline of Legacy Players That Don’t Adjust License Models
  • 24. VividCortex Software-as-a-Service for Database Performance Management
  • 25. Credits http://cdn.historycommons.org/images/events/a213_nsa_octopus_2050081722-17000.jpg http://www.waratuman.com/resources/images/posts/2010-11-04-weather-station-map.png https://www.gartner.com/doc/2398815 http://blog.infochimps.com/2011/10/28/where-does-the-weather-data-come-from-visualizations-ofworldwide-weather-stations/ http://www.forbes.com/sites/louiscolumbus/2013/02/19/gartner-predicts-infrastructure-services-willaccelerate-cloud-computing-growth/ http://www.fstsummitus.com/media/whitepapers/2013/a_total_-10gen.pdf http://www.slideshare.net/blackducksoftware/the-2013-future-of-open-source-survey-results