Keydb Eng -

Due to better CPU utilization, KeyDB can achieve higher read/write performance, especially on multi-core hardware.

KeyDB introduces a revolutionary mode: , which allows multiple KeyDB processes (or even different programs) to access the same dataset concurrently. keydb eng

This design trades off perfect scalability for 80% of workloads (single-key or same-shard operations) while remaining correct for the rest. Due to better CPU utilization, KeyDB can achieve

: A gaming leaderboard service running on Redis (single-threaded) hits 80% CPU at 300K writes/sec. Solution : Migrate to KeyDB with 8 threads → scale linearly to ~2M writes/sec. Use INFO stats to verify no cross-thread contention (key distribution balanced). Implement Active-Active replicas in two regions for low-latency global updates. : A gaming leaderboard service running on Redis

It is less suitable for:

: Each connection is assigned to a specific thread upon acceptance.