redis vs keydb throughput
redis single-threaded architecture means command execution is bottlenecked on one core — works fine in dev but production traffic patterns expose it fast.
keydb uses the same redis protocol but spreads command processing across multiple threads — same hardware, significantly better throughput under load.
the switch is straightforward — keydb is protocol-compatible so existing clients, libraries, and code work unchanged.
for cpu-bound workloads like high-throughput API caching, the difference is real — instead of scaling out with redis cluster complexity, you scale up on the same machine.
redis 6+ added io threading but command execution is still single-threaded — keydb went further and parallelized the whole pipeline.
if you're hitting redis throughput limits before running out of memory or network, keydb is worth benchmarking on your actual workload.