Keydb - Eng __top__

: Traditional Redis instances often see a 36-61% performance drop when TLS is enabled. KeyDB's multithreaded design handles TLS overhead more efficiently, maintaining throughput up to 7x faster than Redis in secure configurations. Built-in Persistence

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

: KeyDB introduces unique capabilities like subkey expires (expiring individual members of a set) and FLASH storage support for datasets that exceed your RAM budget. Real-World Impact : Traditional Redis instances often see a 36-61%

As the NoSQL landscape evolves, KeyDB continues to push the boundaries of what in-memory data stores can achieve by prioritizing vertical scaling and modern CPU utilization. AI responses may include mistakes. Learn more Real-World Impact As the NoSQL landscape evolves, KeyDB

KeyDB: The High-Performance Evolutionary Step for Redis KeyDB is an open-source, high-performance NoSQL database that began as a multithreaded fork of Redis. It aims to provide a faster, more scalable alternative while maintaining full compatibility with the Redis protocol and ecosystem. By moving away from the single-threaded architecture that defined Redis for years, KeyDB offers significant throughput improvements for modern multi-core hardware. 🚀 The Multi-Threaded Advantage

KeyDB is designed to be a . If your application already uses a Redis client (like redis-py , ioredis , or go-redis ), you can point it at a KeyDB server without changing a single line of code.

: Its multi-threaded nature handles complex operations (like SINTER or SUNION on large sets) without "freezing" the database for other users. Quick Comparison Threading Single-threaded (mostly) Multi-threaded Compatibility Industry Standard Drop-in Replacement Replication Primary-Replica Active-Active (Multi-Master) Storage RAM-only (mostly) RAM + NVMe FLASH support