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From: Apache Wiki <wikidiffs@apache.org>
To: Apache Wiki <wikidiffs@apache.org>
Date: Thu, 18 Mar 2010 09:35:54 -0000
Message-ID: <20100318093554.7146.4059@eos.apache.org>
Subject: 
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  =

  [[http://trendmicro.com/|Trend Micro]] uses HBase as a foundation for clo=
ud scale storage for a variety of applications. We have been developing wit=
h HBase since version 0.1 and production since version 0.20.0.
  =

+ [[http://www.twitter.com|Twitter]] runs HBase across its entire Hadoop cl=
uster.  HBase provides a distributed, read/write backup of all  mysql table=
s 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 ap=
plications including people search rely on HBase internally for data genera=
tion. Additionally, the operations team uses HBase as a timeseries database=
 for cluster-wide monitoring/performance data.
+ =

  [[http://www.veoh.com/|Veoh Networks]] uses HBase to store and process vi=
sitor(human) and entity(non-human) profiles which are used for behavioral t=
argeting, demographic detection, and personalization services.  Our site re=
ads this data in real-time (heavily cached) and submits updates via various=
 batch map/reduce jobs. With 25 million unique visitors a month storing thi=
s 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.
  =

  [[http://www.videosurf.com/|VideoSurf]] - "The video search engine that h=
as taught computers to see". We're using Hbase to persist various large gra=
phs of data and other statistics. Hbase was a real win for us because it le=
t us store substantially larger datasets without the need for manually part=
itioning the data and it's column-oriented nature allowed us to create sche=
mas that were substantially more efficient for storing and retrieving data.