KeyDB uses on Linux (falling back to epoll/kqueue). The networking model differs from Redis:
As modern applications demand lower latency and higher throughput, traditional single-threaded in-memory stores encounter scaling bottlenecks. This paper explores , an open-source database that addresses these limitations through a multithreaded architecture. By maintaining full compatibility with the Redis protocol (RESP), KeyDB provides a seamless transition for developers while offering advanced features like active-active replication and FLASH storage integration. 1. Introduction keydb eng
The primary differentiator of KeyDB is its multi-threaded architecture. While traditional in-memory stores like Redis are primarily single-threaded for command execution, KeyDB utilizes multiple threads to handle network IO and query processing simultaneously. This architectural shift allows KeyDB to fully utilize modern multi-core processors, often achieving significantly higher throughput on a single instance compared to its single-threaded counterparts. KeyDB uses on Linux (falling back to epoll/kqueue)