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'''Mimer SQL''' is an [[SQL]]-based [[relational database management system]] from the [[Sweden|Swedish]] company ''Mimer Information Technology AB'' (formerly ''Upright Database Technology AB''), which has been developed and produced since the 1970s. Mimer SQL offers a scalable and portable solution and provide servers for environments that spans from [[embedded systems|embedded]] and [[real-time operating systems]] to [[enterprise systems]]. This includes platforms like [[Microsoft Windows|Windows]], [[MacOS]], [[Linux]], [[Android]], [[Unix]], [[OpenVMS]], and [[VxWorks]] <ref name="platforms">{{webbref | url = http://developer.mimer.com/platforms/index.tml | title = Mimer SQL Products & Platforms | work = Mimer Developers – Platforms | date = 5 May 2017}}</ref>. Unlike other competing DBMSes, Mimer SQL only implements [[optimistic concurrency control]] (OCC) <ref>{{cite web | url = http://developer.mimer.com/features/feature_15.htm | title = Transaction Concurrency - Optimistic Concurrency Control | work = Mimer Developers - Features | date = 26 February 2010}}</ref>.
The main teub ta mrr characteristics of Mimer SQL are zero maintenance, small [[memory footprint]] and high performance <ref name="footprint">{{bokref | title = Mimer SQL Technical Description | url = http://developer.mimer.com/documentation/WhitePapers/Technical_Description/MIMTECDESC.pdf | format = [[Portable Document Format|PDF]] | author= Mimer Information Technology | chapter = Technical Benefits Overview}}</ref>. These attributes are based on a number of technical solutions to handle some of the more complicated functionality that a database management system must provide.
As mentioned, Mimer SQL uses optimistic concurrency control which provides a solution to the problem of allowing simultaneous access to the database without the danger of a [[deadlock]] occurring <ref name="transaction-management">{{webbref | url = http://developer.mimer.se/features/feature_12.htm/ | title = Transaction Management | work = Mimer Developers – Features | date = 5 May 2017}}</ref>. This may simplify database management and allow truly scalable performance, even during heavy system load.
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