# To run KeyDB via Docker docker run -p 6379:6379 eqalpha/keydb Use code with caution.
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.
KeyDB is an excellent choice for developers and DevOps engineers who find themselves hitting the performance limits of a single Redis instance. keydb eng
KeyDB can back up and restore data directly to and from , making disaster recovery and snapshot management much smoother for cloud-native applications. 📊 KeyDB vs. Redis: A Comparison Redis (Standard) Threading Multithreaded Single-threaded (mostly) Scalability Vertical & Horizontal Primarily Horizontal (Cluster) Replication Active-Active (Multi-Master) Master-Replica Complexity Low (Single instance scale) High (Requires clustering for scale) Compatibility 100% Redis Protocol 💡 When to Use KeyDB
: If you want to reduce your cloud bill by using fewer, larger instances instead of dozens of small ones. # To run KeyDB via Docker docker run
KeyDB isn't just "fast Redis"; it introduces several features designed for modern distributed systems: 1. Active-Active Replication
The core differentiator for KeyDB is its . While Redis historically handles commands on a single event loop, KeyDB distributes network IO and query execution across multiple threads. KeyDB is an excellent choice for developers and
: When you need to process millions of operations per second with sub-millisecond latency.
: You can run a single KeyDB instance on a large VM rather than managing a complex cluster of multiple Redis instances to saturate the hardware. 🛠️ Key Features and Capabilities