The "ENG" perspective cares about three specific value propositions:
The Evolution of In-Memory Data Stores: An Analysis of KeyDB Introduction keydb eng
These implementations typically leverage KeyDB as a primary database, a high-speed cache, or a message broker for microservices. Use Cases for the KeyDB Engine The "ENG" perspective cares about three specific value
| Metric | KeyDB (16 threads) | Redis (single thread) | |--------|--------------------|----------------------| | Ops/sec (SET/GET, 50/50) | ~2.4M | ~0.5M | | P99 latency (high concurrency) | 0.8ms | 2.5ms | | Memory overhead per key | ~72 bytes | ~80 bytes | a high-speed cache
Lua scripts in KeyDB still execute atomically across all partitions. This means a slow Lua script will block all threads, effectively behaving like Redis. Keep your Lua scripts under 10,000 operations.