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The "Hbase/PoweredBy" page has been changed by udanax. The comment on this change is: add more info. http://wiki.apache.org/hadoop/Hbase/PoweredBy?action=diff&rev1=57&rev2=58 -------------------------------------------------- [[http://www.twitter.com|Twitter]] runs HBase across its entire Hadoop cluster. HBase provides a distributed, read/write backup of all mysql tables in Twitter's production backend, allowing engineers to run MapReduce jobs over the data while maintaining the ability to apply periodic row updates (something that is more difficult to do with vanilla HDFS). A number of applications including people search rely on HBase internally for data generation. Additionally, the operations team uses HBase as a timeseries database for cluster-wide monitoring/performance data. - [[http://www.udanax.org|Udanax.org]] (URL shortener) use HBase cluster to store URLs, Web Log data and response the real-time request on its Web Server. This application is now used for some twitter clients and a number of web sites and the rows are increasing as almost 30 per second. + [[http://www.udanax.org|Udanax.org]] (URL shortener) use 10 nodes HBase cluster to store URLs, Web Log data and response the real-time request on its Web Server. This application is now used for some twitter clients and a number of web sites. Currently API requests are almost 30 per second and web redirection requests are about 300 per second. [[http://www.veoh.com/|Veoh Networks]] uses HBase to store and process visitor(human) and entity(non-human) profiles which are used for behavioral targeting, demographic detection, and personalization services. Our site reads this data in real-time (heavily cached) and submits updates via various batch map/reduce jobs. With 25 million unique visitors a month storing this data in a traditional RDBMS is not an option. We currently have a 24 node Hadoop/HBase cluster and our profiling system is sharing this cluster with our other Hadoop data pipeline processes.
