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]
| Stable release | 1.2.1
/ December 25, 2008 |
|---|---|
| Written in | C |
| Operating system | Cross-platform |
| Type | distributed memory caching system |
| License | BSD License |
| Website | github |
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
editReferences
edit- ^ "MemcacheDB authors". GitHub.
- ^ 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.
- ^ Chu, Steve (12 March 2008). "Memcachedb: The Complete Guide" (PDF). Retrieved 16 April 2020.
- ^ "LMDB port of MemcacheDB". GitHub.
- ^ "MemcacheDB official home page". Archived from the original on 9 August 2018.