Memcached vs RocksDB: What are the differences?
Memcached: High-performance, distributed memory object caching system. Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering; RocksDB: Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team. RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.
Memcached and RocksDB can be primarily classified as "Databases" tools.
"Fast object cache" is the primary reason why developers consider Memcached over the competitors, whereas "Very fast" was stated as the key factor in picking RocksDB.
Memcached and RocksDB are both open source tools. It seems that RocksDB with 14.1K GitHub stars and 3.09K forks on GitHub has more adoption than Memcached with 8.93K GitHub stars and 2.6K GitHub forks.
According to the StackShare community, Memcached has a broader approval, being mentioned in 750 company stacks & 264 developers stacks; compared to RocksDB, which is listed in 6 company stacks and 7 developer stacks.
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