MemcacheDB

MemcacheDB (pronunciation: mem-cash-dee-bee) is a persistence enabled variant of memcached. MemcacheDB has not been actively maintained since 2009. It is a general-purpose distributed memory caching system often used to speed up dynamic database-driven websites by caching data and objects in memory. It was developed by Steve Chu and Howard Chu.[1] The main difference between MemcacheDB and memcached is that MemcacheDB has its own key-value database system.[2] based on Berkeley DB,[3] so it is meant for persistent storage rather than limited to a non-persistent cache. A version of MemcacheDB using Lightning Memory-Mapped Database (LMDB) is also available,[4] offering greater performance. MemcacheDB is accessed through the same protocol as memcached, so applications may use any memcached API as a means of accessing a MemcacheDB database.[5]

MemcacheDB
Stable release
1.2.1 / December 25, 2008
Written inC
Operating systemCross-platform
Typedistributed memory caching system
LicenseBSD License
Websitegithub.com/LMDB/memcachedb/

MemcacheQ is a MemcacheDB variant that provides a simple message queue service.

Active development of MemcacheDB seems to have currently stopped; the web page hasn't been updated since 2009.

See also

References
  1. "MemcacheDB authors". GitHub.
  2. Krechowicz, Adam; Chrobot, Arkadiusz; Łukawski, Grzegorz (2016). "SD2DS-Based Datastore for Large Files". In Janech, Jan; Kostolny, Jozef; Gratkowski, Tomasz (eds.). Proceedings of the 2015 Federated Conference on Software Development and Object Technologies. University in Žilina, Faculty of Management Sciences and Informatics, Slovak Republic: Springer. pp. 150–168. ISBN 9783319465357.
  3. Chu, Steve (12 March 2008). "Memcachedb: The Complete Guide" (PDF). Retrieved 16 April 2020.
  4. "LMDB port of MemcacheDB". GitHub.
  5. "MemcacheDB official home page". Archived from the original on 9 August 2018.
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