Embedded Database
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An embedded database is a database that is linked directly into an application that requires access to stored data.
[edit] Implementations
Major embedded database providers include: Empress software Inc., Oracle Berklely DB, SolidDB, etc.
Empress Embedded Database:
Empress Software, developers of the Empress Embedded Database, is a privately held company founded in 1979. [1]. Empress Embedded Database is a full-function, relational database that has been embedded into applications by organizations small to large, including medical systems, network routers, nuclear power plant monitors, satellite management systems, and other embedded system applications that require reliability and power. [2].
Oracle Berkeley DB:
As the name implies, Oracle’s embedded database is actually Berkeley DB, which Oracle acquired from Sleepycat Software and was originally developed at the University of California. [3] Berkeley DB is an fast, open-source embedded database and is used in several well-known open-source products, including the Linux and BSD Unix operating systems, Apache Web server, OpenLDAP directory, and OpenOffice productivity suite. [4].
IBM SolidDB:
IBM SolidDB is another embedded database bought by a large technology company. Originally owned by Solid Information Technology, SolidDB was acquired in January 2008 by IBM.[5]. SolidDB is a hybrid disk/in-memory, relational database and is historically used as an embedded system database in telecommunications equipment, network software, and similar systems.[6].
[edit] References
- ^ Empress Software, Inc. [1]. Retrieved on June 12, 2008.
- ^ Mullins, Craig. "Empress Offers an Effective Embedded Database Solution", 2005. Retrieved on June 12, 2008.
- ^ Berkeley DB. Wikipedia. Wikipedia Foundation (2008-06-12). Retrieved on 2008-06-12.
- ^ Niccolai, James. "Update: Oracle Buys Sleepycat open-source database vendor", "InfoWorld", 2006-02-14. Retrieved on June 12, 2008.
- ^ IBM Corp. [2]. Retrieved on June 12, 2008.
- ^ Monash, Curt. "IBM acquires SolidDB to compete with Oracle TimesTen" "DBMS2", 2007-12-21. Retrieved on June 12, 2008.