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  [[http://www.flurry.com|Flurry]] provides mobile application analytics.  We 
use HBase and Hadoop for all of our analytics processing, and serve all of our 
live requests directly out of HBase on our 16-node production cluster with 
billions of rows over several tables.
  
  [[http://www.drawntoscaleconsulting.com|Drawn to Scale Consulting]] consults 
on HBase, Hadoop, Distributed Search, and Scalable architectures.
+ 
+ [[http://www.kalooga.com|Kalooga]] is a discovery service for image 
galleries. We use Hadoop, Hbase, Chukwa and Pig on a 20-node cluster for our 
crawling, analysis and events processing.
  
  [[http://www.mahalo.com|Mahalo]], "...the world's first human-powered search 
engine". All the markup that powers the wiki is stored in HBase. It's been in 
use for a few months now. !MediaWiki - the same software that power Wikipedia - 
has version/revision control. Mahalo's in-house editors produce a lot of 
revisions per day, which was not working well in a RDBMS. An hbase-based 
solution for this was built and tested, and the data migrated out of MySQL and 
into HBase. Right now it's at something like 6 million items in HBase. The 
upload tool runs every hour from a shell script to back up that data, and on 6 
nodes takes about 5-10 minutes to run - and does not slow down production at 
all.
  

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