| Feature | Redis | KeyDB | |---------|-------|-------| | Execution model | Single-threaded event loop | Multi-threaded with thread-local data sharding | | Concurrency handling | Shared-nothing + I/O threads (v6+) | Shared everything with fine-grained locking | | Data consistency | Sequential, deterministic | Atomic operations preserved; non-deterministic interleaving possible for unrelated keys | | Blocking commands | Supported (BLPOP, etc.) | Supported, but with cross-thread coordination | | Snapshotting | Fork-based (RDB) | Fork-based or thread-local snapshots |
KeyDB scales almost linearly up to ~12–16 threads. Beyond that, contention on the global dictionary and memory bus becomes limiting. Very high-core counts (>32) may require sharding across multiple KeyDB instances. keydb_eng
We hope this blog post has provided a helpful introduction to KeyDB and its benefits. Whether you're a seasoned developer or just starting out, KeyDB is definitely worth exploring for your next project. | Feature | Redis | KeyDB | |---------|-------|-------|
If your app serves millions of concurrent users, KeyDB handles this load more efficiently. We hope this blog post has provided a
The Active-Active design minimizes downtime and data conflicts. KeyDB vs. Redis: A Summary KeyDB (keydb_eng) Threading Single-Threaded Multi-Threaded Performance Extremely High (2-5x) Compatibility Full Redis API Compatible Replication Master/Replica Active-Active (CRDTs) Throughput Conclusion