Keydb Eng ✪ ❲Fast❳

| 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 is a high-performance, multithreaded, in-memory data store. It originated as a fork of Redis and maintains full API compatibility with the Redis protocol. The primary objective of KeyDB is to overcome the single-threaded bottlenecks inherent in open-source Redis, thereby providing superior throughput and lower latency on modern multi-core hardware without requiring application-side changes. keydb eng

To ensure high performance, we do not write one file per key. Instead, we use an append-only log structure similar to RDB/AOF but optimized for random reads. | Problem | Solution | |---------|----------| | Cross-thread

KeyDB is not a science experiment—it’s a pragmatic engineering fork that applies decades of multi-threading knowledge to the Redis architecture. For teams running Redis at scale, KeyDB can triple throughput without rewriting a line of application code. However, test your module dependencies and cluster failover patterns first. To ensure high performance, we do not write one file per key

In the words of its creators: "KeyDB is what you’d get if you took Redis and made it fast on modern hardware." For many, that’s exactly what they need.