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Adding local short description: "Proprietary object database", overriding Wikidata description "proprietary database management system" |
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==Architectural features==
Objectivity/DB operates as a [[distributed database]], providing a unified logical view across a network of databases. It employs a [[distributed computing]] model where client applications transparently communicate with simplified servers processes. This architecture enhances [[scalability]]<ref name="georgeTown">{{cite web|url=http://www.gsnmagazine.com/node/29210?c=cyber_security|title=Georgetown University taps Objectivity for Big Data research|date=May 2013|publisher=Government Security News|accessdate=December 1, 2014|archive-date=July 1, 2017|archive-url=https://web.archive.org/web/20170701004035/http://gsnmagazine.com/node/29210?c=cyber_security|url-status=dead}}</ref> and [[reliability (engineering)|reliability]], supporting ingest rates exceeding one terabyte per hour while concurrently facilitating data fusion and query operations.<ref name="panasasPaper">{{cite web|url=http://www.panasas.com/sites/default/files/uploads/docs/panasas_objectivity_wp_lr_1065.pdf|title=Scaling Objectivity Database Performance with Panasas® Scale-Out NAS Storage|date=August 2011|accessdate=December 1, 2014}}</ref>
Objectivity/DB utilizes a distributed storage hierarchy, storing objects in logical clusters called containers within [[federated database|federated databases]]. Each object is assigned a unique 64-bit Object Identifier (OID) within a massive physical address space spanning millions of Terabytes. Notably, the largest reported deployment at SLAC's [[BaBar experiment]] stored over a petabyte of objects.<ref>[http://www.slac.stanford.edu/BFROOT/www/Public/Computing/Databases/proceedings/CIDR05.pdf Lessons Learned from Managing a Petabyte] Jacek Becla and Daniel L. Wang, 2005</ref><ref>[http://www.slac.stanford.edu/BFROOT/www/Public/Computing/Databases/ BaBar Database]</ref>
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