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  [[http://www.adobe.com|Adobe]] - We currently have about 30 nodes running 
HDFS, Hadoop and HBase  in clusters ranging from 5 to 14 nodes on both 
production and development. We plan a deployment on an 80 nodes cluster. We are 
using HBase in several areas from social services to structured data and 
processing for internal use. We constantly write data to HBase and run 
mapreduce jobs to process then store it back to HBase or external systems. Our 
production cluster has been running since Oct 2008.
  
  [[http://www.bedrock.com|BEDROCK]] is a monetization platform for building 
the next generation of ad products. We use HBase 0.20.x on a 4-node Amazon EC2 
Large Instance (m1.large) cluster for both real-time data and analytics. Our 
production cluster has been running since July 2009.
+ 
+ [[http://www.filmweb.pl|Filmweb]] is a film web portal with a large dataset 
of films, persons and movie-related entities. We have just started a small 
cluster of 3 HBase nodes to handle our web cache persistency 
layer. We plan to increase the cluster size, and also to start migrating some 
of the data from our databases which have some demanding scalability 
requirements.  
  
  [[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.
  

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