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ElastiCache supports three in-memory caching engines: Valkey, Memcached, and Redis OSS. [2] As a web service running in the computing cloud, Amazon ElastiCache is designed to simplify the setup, operation, and scaling of Valkey, Memcached, and Redis OSS deployments. Complex administration processes like patching software, backing up and ...
Memcached (pronounced variously /mɛmkæʃˈdiː/ mem-cash-dee or /ˈmɛmkæʃt/ mem-cashed) is a general-purpose distributed memory-caching system. It is often used to speed up dynamic database-driven websites by caching data and objects in RAM to reduce the number of times an external data source (such as a database or API) must be read.
Valkey is an open-source in-memory storage, used as a distributed, in-memory key–value database, cache and message broker, with optional durability. [8] Because it holds all data in memory and because of its design, Valkey offers low-latency reads and writes, making it particularly suitable for use cases that require a cache.
Redis popularized the idea of a system that can be considered a store and a cache at the same time. It was designed so that data is always modified and read from the main computer memory, but also stored on disk in a format that is unsuitable for random data access.
Hubbard, a big man with intense blue eyes and a five-o'clock shadow, greets me gruffly. "You don't look like Business Insider," he says. "You look like Rising S."
Redis: Key-value Yes. But last few queries can be lost. [21] Yes Yes [22] Yes [23] No Ansi-C VMWare, Memcache BSD: ScyllaDB: Key-value Yes Yes Distributed and Replication [24] No [25] Unknown C++ Apache Cassandra: AGPL v3: SimpleDB (Amazon.com) Document & Key-value Yes Yes (automatic) Yes Unknown likely Erlang Amazon.com Amazon internal only ...
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]
In computing, cache replacement policies (also known as cache replacement algorithms or cache algorithms) are optimizing instructions or algorithms which a computer program or hardware-maintained structure can utilize to manage a cache of information.