To configure the storage engine, modify your keydb.conf file or pass arguments at launch. Enabling Flash
October 26, 2023 Subject: KeyDB Engineering Overview To: Engineering Team / Technical Stakeholders
What is connecting to your KeyDB instance?
While pure RAM access operates in nanoseconds or single-digit microseconds, FLASH storage introduces disk I/O overhead. However, when paired with modern NVMe drives, KeyDB FLASH still delivers sub-millisecond latencies for most workloads, making the performance hit negligible for many applications.
robj *o = lookupKeyRead(c->db, c->key);
Because it can use multiple CPU cores, a single KeyDB instance can scale vertically, eliminating the immediate need to set up complex clustering for higher throughput. Key Features and Capabilities
KeyDB is an open source, in-memory data structure store used as a database, cache, and message broker. It is a high-performance fork of Redis with a singular focus on , memory efficiency , and high throughput . While maintaining full compatibility with the Redis API, modules, and protocols, KeyDB diverges from its predecessor's core philosophy to embrace a "batteries included" approach that prioritizes user experience and performance, even if it adds complexity to the codebase.
Deployments requiring low-latency writes in multiple, distant locations.
Applications experiencing extreme spikes in traffic that would saturate a single-threaded Redis instance. keydb eng
To utilize the RocksDB-backed FLASH engine, you must specify the storage path and allocate the maximum amount of RAM KeyDB should use as its hot-data cache:
: Fewer instances result in lower monthly cloud bills.
(often referred to in technical discussions as keydb-eng or simply keydb-dev) is a high-performance fork of Redis that introduces multi-threading and several other performance-focused enhancements while maintaining full compatibility with the Redis ecosystem.
KeyDB Storage Engines: Optimizing Performance Beyond In-Memory Architecture To configure the storage engine, modify your keydb
As KeyDB is a fork of Redis, here's a technical comparison between the two:
The data structures of KeyDB are often a good way to model IoT and embedded use cases, such as accumulating time series data or queuing commands for execution on remote devices.
A good starting point is to set server-threads to the number of available CPU cores.