Keydb Eng Jun 2026

Figures approximate – hardware dependent (48 cores, 100GbE)

KeyDB uses the SO_REUSEPORT socket option, which allows multiple threads to bind to the same port simultaneously. Each worker thread is pinned to a specific CPU core and uses the SO_INCOMING_CPU feature to receive data directly on its assigned core. This affinity ensures that data stays close to the processing core, reducing cache misses and improving overall throughput.

In addition, KeyDB protects its global dictionary with spinlocks, allowing multiple threads to access the data structures concurrently. The spinlock approach is lightweight and avoids the overhead of heavier locking mechanisms, making it ideal for high‑throughput in‑memory workloads.

If you want to dive deeper into implementing this, let me know: keydb eng

KeyDB is an open‑source, in‑memory database that maintains full compatibility with the Redis protocol, modules, and scripts. This means that any application that works with Redis can switch to KeyDB without changing a single line of code. At the same time, KeyDB introduces a range of advanced features that go far beyond what Redis offers out of the box:

At its heart, KeyDB diverges from Redis's single-threaded design by employing multiple worker threads to execute commands in parallel. This enables the full utilization of modern multi-core CPUs, reduces contention for resources, and dramatically increases throughput.

Enabling FLASH storage requires compiling KeyDB with ENABLE_FLASH=1 and adding a few lines to keydb.conf : In addition, KeyDB protects its global dictionary with

For a system with 8 cores, setting server-threads 8 directs KeyDB to assign one thread per core, minimizing context-switching overhead. For benchmarking, use a multithreaded tool like memtier_benchmark to see the true performance gains over a single-threaded engine.

KeyDB introduces (also called Active‑Active replication). In this mode, both master and replica accept reads and writes. Writes are automatically propagated in both directions, so either node can serve as the primary at any moment. This greatly simplifies failover: replicas no longer need to be promoted to active masters.

KeyDB introduces a :

KeyDB can use disk storage (SSD/NVMe) as an extension of RAM.

of Active-Replication for better high availability. Let me know which of these you'd like to explore! KeyDB - The Faster Redis Alternative