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.
| Problem | Solution | |---------|----------| | Cross-thread key access overhead | Pin related keys to same slot using hash tags user:1234 | | High write amplification on AOF | Use aof-use-rdb-preamble yes + multi-threaded rewrite | | Memory fragmentation | activedefrag yes + tune active-defrag-threshold | keydb eng
KeyDB uses on Linux (falling back to epoll/kqueue). The networking model differs from Redis: The primary differentiator of KeyDB is its multi-threaded
Enter , a high-performance fork of Redis that’s designed to do more with less. Why KeyDB? | Problem | Solution | |---------|----------| | Cross-thread
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.
| Problem | Solution | |---------|----------| | Cross-thread key access overhead | Pin related keys to same slot using hash tags user:1234 | | High write amplification on AOF | Use aof-use-rdb-preamble yes + multi-threaded rewrite | | Memory fragmentation | activedefrag yes + tune active-defrag-threshold |
KeyDB uses on Linux (falling back to epoll/kqueue). The networking model differs from Redis:
Enter , a high-performance fork of Redis that’s designed to do more with less. Why KeyDB?