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  [[http://www.kalooga.com|Kalooga]] is a discovery service for image 
galleries. We use Hadoop, HBase and Pig on a 20-node cluster for our crawling, 
analysis and events processing.
  
- [[http://www.ngdata.com|NGDATA]] delivers 
[[http://www.lilyproject.org|Lily]], the consumer intelligence solution that 
delivers a unique combination of  Big Data management, machine learning 
technologies and consumer intelligence applications in one integrated solution 
to allow better, and more dynamic, consumer insights. Lily allows companies to 
process and analyze massive structured and unstructured data, scale storage 
elastically and locate actionable data quickly from large data sources in near 
real time. 
+ [[http://www.ngdata.com|NGDATA]] delivers 
[[http://www.ngdata.com/site/products/lily.html|Lily]], the consumer 
intelligence solution that delivers a unique combination of  Big Data 
management, machine learning technologies and consumer intelligence 
applications in one integrated solution to allow better, and more dynamic, 
consumer insights. Lily allows companies to process and analyze massive 
structured and unstructured data, scale storage elastically and locate 
actionable data quickly from large data sources in near real time. 
  
  [[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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