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Enterprise Big Data Stack vs Open Source Big Data Stack

Goldmacher estimated that YouTube consumption—user uploads of 48 hours of video a minute and 3 billion videos a day along with roughly 45 petabytes of viewed videos a day—would require at least 9 full-rack Exadata machines at $1.5 million each. There would be at least 18 Exadata machines to handle spikes. Those machines would add up to 14 Exalogic devices to serve data at $1.1 million per system. The software stack under Oracle would include WebLogic middleware, Oracle databases, Exadata optimized storage and Oracle as operating system. The open source comparison included JBoss middleware, MySQL, Hadoop and Red Hat Enterprise Linux as the OS.

Big Data Enterprise Stack

Big Data Open Source Stack

Credit Peter Goldmacher (Cowen & Co. analyst)

Two comments (the only I have):

  1. what advantages would the enterprise stack offer to justify a 5x cost?
  2. in case all numbers are completely wrong, what’s the advantage of the enterprise stack?

Original title and link: Enterprise Big Data Stack vs Open Source Big Data Stack (NoSQL database©myNoSQL)

via: http://www.zdnet.com/blog/btl/big-data-vs-traditional-databases-can-you-reproduce-youtube-on-oracles-exadata/52053