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・ Clusterball
・ Clustered file system
・ Clustered planarity
・ Clustered web hosting
・ ClusterFlunk
・ Clusterin
・ Clustering
・ Clustering (demographics)
・ Clustering coefficient
・ Clustering high-dimensional data
・ Clustering illusion
・ Clustering of self-propelled particles
・ ClusterKnoppix
・ Clusterpoint
・ Clusters School of Digital Arts
Clustrix
・ Clutag Press
・ Clutch
・ Clutch (band)
・ Clutch (Clutch album)
・ Clutch (disambiguation)
・ Clutch (eggs)
・ Clutch (G.I. Joe)
・ Clutch (literary magazine)
・ Clutch (magazine)
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・ Clutch (pin fastener)
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・ Clutch (web series)


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Clustrix : ウィキペディア英語版
Clustrix

Clustrix, Inc. is a San Francisco-based company that develops a NewSQL〔(What we talk about when we talk about NewSQL )〕〔(The NewSQL Movement )〕 Database. The company was founded by Paul Mikesell (formerly of EMC Isilon) and Sergei Tsarev (developer of Simple Time-series Database) and is headed by Mike Azevedo.〔(Clustrix Management Webpage )〕 The company is privately held, and is backed by HighBAR Ventures,〔()〕 Sequoia Capital, U.S. Venture Partners (USVP), and ATA Ventures.〔(Marketwatch Article on Clustrix )〕 Clustrix is a distributed primary SQL database.
==Market==
Clustrix is a scale-out SQL database and part of what are often called the NewSQL databases (modern relational database management systems), which have started to gain mind share〔(/ Google Spanner's most surprising revelation NoSQL is Out and NewSQL is in )〕 closely following the NoSQL movement.
Clustrix is a mature product, based on support for stored procedures and that it was designed and built before competitive NewSQL databases. The product launched in 2006,〔http://venturebeat.com/2010/05/03/y-combinators-clustrix-rolls-out-databases-that-scale/〕 and has served customers since 2008.〔http://www.dbms2.com/2010/05/12/the-clustrix-story/〕 The primary databases like Microsoft SQL Server and MySQL supported online transaction processing and online analytical processing but were not distributed. Clustrix occupies this space with a distributed SQL, ACID database that scales transactions〔http://www.insideanalysis.com/2013/01/companies-technologies-to-watch-in-2013/〕 and support real-time analytics. Other successful distributed SQL databases are columnar (they don't support primary transaction workload) and focus on offline analytics and this includes EMC Greenplum, HP Vertica, Infobright, and Amazon Redshift. Notable players in the primary SQL database space are in-memory. This includes VoltDB and MemSQL, which excel at low-latency transactions, but do not target real-time analytics. NoSQL competitors, like MongoDB are good at handling unstructured data and read heavy workloads, but do not compete in the space for write heavy workloads (no transactions, coarse grained (DB-level) locking, and no SQL features (like joins), so the NewSQL and NoSQL databases are complementary.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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