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The "Hbase/PoweredBy" page has been changed by OtisGospodnetic: http://wiki.apache.org/hadoop/Hbase/PoweredBy?action=diff&rev1=74&rev2=75 Comment: Removed SubRecord project - it's dead [[http://www.stumbleupon.com/|Stumbleupon]] and [[http://su.pr|Su.pr]] use HBase as a real time data storage and analytics platform. Serving directly out of HBase, various site features and statistics are kept up to date in a real time fashion. We also use HBase a map-reduce data source to overcome traditional query speed limits in MySQL. - [[http://www.subrecord.org|SubRecord Project]] is an Open Source project that is using HBase as a repository of records (persisted map-like data) for the aspects it provides like logging, tracing or metrics. HBase and Lucene index both constitute a repo/storage for this platform. - [[http://www.tokenizer.org|Shopping Engine at Tokenizer]] is a web crawler; it uses HBase to store URLs and Outlinks (!AnchorText + LinkedURL): more than a billion. It was initially designed as Nutch-Hadoop extension, then (due to very specific 'shopping' scenario) moved to SOLR + MySQL(InnoDB) (ten thousands queries per second), and now - to HBase. HBase is significantly faster due to: no need for huge transaction logs, column-oriented design exactly matches 'lazy' business logic, data compression, !MapReduce support. Number of mutable 'indexes' (term from RDBMS) significantly reduced due to the fact that each 'row::column' structure is physically sorted by 'row'. MySQL InnoDB engine is best DB choice for highly-concurrent updates. However, necessity to flash a block of data to harddrive even if we changed only few bytes is obvious bottleneck. HBase greatly helps: not-so-popular in modern DBMS 'delete-insert', 'mutable primary key', and 'natural primary key' patterns become a big advantage with HBase. [[http://traackr.com/|Traackr]] uses HBase to store and serve online influencer data in real-time. We use MapReduce to frequently re-score our entire data set as we keep updating influencer metrics on a daily basis.
