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From: Apache Wiki <wikidiffs@apache.org>
To: Apache Wiki <wikidiffs@apache.org>
Date: Fri, 24 Jun 2011 05:23:55 -0000
Message-ID: <20110624052355.44518.74802@eos.apache.org>
Subject: 
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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 pro=
duction and development. We plan a deployment on an 80 nodes cluster. We ar=
e using HBase in several areas from social services to structured data and =
processing for internal use. We constantly write data to HBase and run mapr=
educe jobs to process then store it back to HBase or external systems. Our =
production cluster has been running since Oct 2008.
  =

- [[http://caree.rs|Caree.rs]] - Accelerated hiring platform for HiTech com=
panies. We use HBase and Hadoop for all aspects of our backend - job and co=
mpany data storage, analytics processing, machine learning algorithms for o=
ur hire recommendation engine. Our live production site is directly served =
from HBase. We use cascading for running offline data processing jobs. =

+ [[http://caree.rs|Caree.rs]] - Accelerated hiring platform for HiTech com=
panies. We use HBase and Hadoop for all aspects of our backend - job and co=
mpany data storage, analytics processing, machine learning algorithms for o=
ur hire recommendation engine. Our live production site is directly served =
from HBase. We use cascading for running offline data processing jobs.
  =

  [[http://www.drawntoscaleconsulting.com|Drawn to Scale Consulting]] consu=
lts on HBase, Hadoop, Distributed Search, and Scalable architectures.
  =

@@ -16, +16 @@

  =

  [[http://gumgum.com|GumGum]] is an In-Image ad network. We use HBase on a=
n 8-node Amazon EC2 High-CPU Extra Large (c1.xlarge) cluster for both real-=
time data and analytics. Our production cluster has been running since June=
 2010.
  =

- [[http://www.impetus.com/ |Impetus]] - With a strong focus, established t=
hought leadership and open source contributions in the area of Big Data ana=
lytics and consulting services, Impetus uses its Global Delivery Model to h=
elp technology businesses and enterprises evaluate and implement solutions =
tailored to their specific context, without being biased towards a particul=
ar solution. [[http://bigdata.impetus.com/# | More info about BigData @Impe=
tus]]
+ [[http://www.impetus.com/|Impetus]] - With a strong focus, established th=
ought leadership and open source contributions in the area of Big Data anal=
ytics and consulting services, Impetus uses its Global Delivery Model to he=
lp technology businesses and enterprises evaluate and implement solutions t=
ailored to their specific context, without being biased towards a particula=
r solution. [[http://bigdata.impetus.com/#|More info about BigData @Impetus=
]]
  =

- [[http://www.infolinks.com/ |Infolinks]] - Infolinks is an In-Text ad pro=
vider. We use HBase to process advertisement selection and user events for =
our In-Text ad network. The reports generated from HBase are used as feedba=
ck for our production system to optimize ad selection. =

+ [[http://www.infolinks.com/|Infolinks]] - Infolinks is an In-Text ad prov=
ider. We use HBase to process advertisement selection and user events for o=
ur In-Text ad network. The reports generated from HBase are used as feedbac=
k for our production system to optimize ad selection.
  =

  [[http://www.kalooga.com|Kalooga]] is a discovery service for image galle=
ries. We use Hadoop, HBase and Pig on a 20-node cluster for our crawling, a=
nalysis and events processing.
  =

@@ -40, +40 @@

  =

  [[http://www.readpath.com/|ReadPath]] uses HBase to store several hundred=
 million RSS items and dictionary for its RSS newsreader. Readpath is curre=
ntly running on an 8 node cluster.
  =

- [[http://resu.me/|resu.me]] - Career network for the net generation. We u=
se HBase and Hadoop for all aspects of our backend - user and resume data s=
torage, analytics processing, machine learning algorithms for our job recom=
mendation engine. Our live production site is directly served from HBase. W=
e use cascading for running offline data processing jobs.  =

+ [[http://resu.me/|resu.me]] - Career network for the net generation. We u=
se HBase and Hadoop for all aspects of our backend - user and resume data s=
torage, analytics processing, machine learning algorithms for our job recom=
mendation engine. Our live production site is directly served from HBase. W=
e use cascading for running offline data processing jobs.
  =

  [[http://www.runa.com/|Runa Inc.]] offers a SaaS that enables online merc=
hants to offer dynamic per-consumer, per-product promotions embedded in the=
ir website. To implement this we collect the click streams of all their vis=
itors to determine along with the rules of the merchant what promotion to o=
ffer the visitor at different points of their browsing the Merchant website=
. So we have lots of data and have to do lots of off-line and real-time ana=
lytics. HBase is the core for us. We also use Clojure and our own open sour=
ced distributed processing framework, Swarmiji. The HBase Community has bee=
n key to our forward movement with HBase. We're looking for experienced dev=
elopers to join us to help make things go even faster!
+ =

+ [[http://www.sematext.com/|Sematext]] runs [[http://www.sematext.com/sear=
ch-analytics/index.html|Search Analytics]], a service that uses HBase to st=
ore search activity and MapReduce to produce reports showing user search be=
haviour and experience.
+ =

+ [[http://www.sematext.com/search-analytics/index.html|Sematext]] runs [[h=
ttp://www.sematext.com/spm/index.html|Scalable Performance Monitoring]] (SP=
M), a service that uses HBase to store performance data over time, crunch i=
t with the help of MapReduce, and display it in a visually rich browser-bas=
ed UI.  Interestingly, SPM features [[http://www.sematext.com/spm/hbase-per=
formance-monitoring/index.html|SPM for HBase]], which is specifically desig=
ned to monitor all HBase performance metrics.
  =

  [[http://www.socialmedia.com/|SocialMedia]] uses HBase to store and proce=
ss user events which allows us to provide near-realtime user metrics and re=
porting. HBase forms the heart of our Advertising Network data storage and =
management system. We use HBase as a data source and sink for both realtime=
 request cycle queries and as a backend for mapreduce analysis.
  =

@@ -70, +74 @@

  =

  [[http://www.yahoo.com/|Yahoo!]] uses HBase to store document fingerprint=
 for detecting near-duplications. We have a cluster of few nodes that runs =
HDFS, mapreduce, and HBase. The table contains millions of rows. We use thi=
s for querying duplicated documents with realtime traffic.
  =

- [[http://h50146.www5.hp.com/products/software/security/icewall/eng/|HP Ic=
eWall SSO]] - is a web-based single sign-on solution and uses HBase to stor=
e user data to authenticate users. We have supported RDB and LDAP previousl=
y but have newly supported HBase with a view to authenticate over tens of m=
illions of users and devices. =

+ [[http://h50146.www5.hp.com/products/software/security/icewall/eng/|HP Ic=
eWall SSO]] - is a web-based single sign-on solution and uses HBase to stor=
e user data to authenticate users. We have supported RDB and LDAP previousl=
y but have newly supported HBase with a view to authenticate over tens of m=
illions of users and devices.
 =20