Redis is single-threaded. KeyDB is multi-threaded AND has active-active replication built in. Same API, more throughput, better HA.
What Is KeyDB?
KeyDB is a multi-threaded fork of Redis that maintains full compatibility while adding features Redis doesn't have: multi-threading, active replication, FLASH storage support, and subkey expires.
docker run -p 6379:6379 eqalpha/keydb
redis-cli ping # PONG — 100% Redis compatible
Multi-Threaded Performance
# Redis benchmark comparison
# Redis 7 (single thread): ~120K ops/s
# KeyDB (8 threads): ~800K ops/s on same hardware
keydb-server --server-threads 8
Same machine, same data, same commands — 5-7x more throughput.
Active-Active Replication
# Node A
keydb-server --replicaof nodeB:6379 --active-replica yes --multi-master yes
# Node B
keydb-server --replicaof nodeA:6379 --active-replica yes --multi-master yes
Both nodes accept writes. Changes replicate bidirectionally. If one goes down, the other keeps serving. No Redis Sentinel, no Redis Cluster complexity.
FLASH Storage
keydb-server --storage-provider flash /mnt/ssd/keydb.db
Store less-accessed data on SSD instead of RAM. Get 10x the dataset size for the same RAM cost. Hot data stays in memory, cold data on SSD.
Why KeyDB Over Redis
| Feature | Redis | KeyDB |
|---|---|---|
| Threading | Single | Multi (configurable) |
| Active-Active | Redis Enterprise ($$$) | Built-in (free) |
| FLASH storage | Redis Enterprise ($$$) | Built-in (free) |
| Subkey expires | No | Yes |
| Compatibility | — | 100% Redis API |
Features that cost $50K+/year in Redis Enterprise are free in KeyDB.
Building high-performance caching? Check out my developer tools or email spinov001@gmail.com.
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