Keydb Eng

Crucially, scaling is near-linear up to ~24 cores, then allocator contention and cache coherence traffic cause diminishing returns.

The Evolution of In-Memory Data Stores: An Analysis of KeyDB Introduction keydb eng

: Unlike Redis, which uses a single thread for network I/O and command execution, KeyDB uses multiple threads to handle these tasks. This allows it to scale vertically as you add more CPU cores. Crucially, scaling is near-linear up to ~24 cores,

🎮 Handling massive bursts of concurrent writes and reads during peak player activity. 🎮 Handling massive bursts of concurrent writes and

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.

For datasets larger than available RAM, KeyDB can utilize SSDs (Flash) to store data while maintaining near-RAM performance. Practical Applications

: KeyDB can extend its memory capacity by using SSDs (FLASH) to store data that exceeds available RAM, providing a cost-effective way to manage large datasets. 3. Key Features Active Replica Setup | KeyDB - The Faster Redis Alternative