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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.benipaltechnologies.com|Benipal Technologies]] - We have a 35 
node cluster used for HBase and Mapreduce with Lucene / SOLR and katta 
integration to create and finetune our search databases. Currently, our HBase 
installation has over 10 Billion rows with 100s of datapoints per row. We 
compute over 10¹⁸ calculations daily using MapReduce directly on HBase. We 
heart HBase. 
  
  [[http://caree.rs|Caree.rs]] - Accelerated hiring platform for HiTech 
companies. We use HBase and Hadoop for all aspects of our backend - job and 
company data storage, analytics processing, machine learning algorithms for our 
hire recommendation engine. Our live production site is directly served from 
HBase. We use cascading for running offline data processing jobs.
  

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