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The "Hbase/PoweredBy" page has been changed by KenWeiner. The comment on this change is: Added GumGum. Removed BEDROCK which was put on hold. Moved Drawn to Scale entry to its correct alphabetic position.. http://wiki.apache.org/hadoop/Hbase/PoweredBy?action=diff&rev1=44&rev2=45 -------------------------------------------------- [[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.drawntoscaleconsulting.com|Drawn to Scale Consulting]] consults on HBase, Hadoop, Distributed Search, and Scalable architectures. [[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. - [[http://www.drawntoscaleconsulting.com|Drawn to Scale Consulting]] consults on HBase, Hadoop, Distributed Search, and Scalable architectures. + [[http://gumgum.com|GumGum]] is an in-image ad network. We use HBase 0.20 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 June 2010. [[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.
