Dragonfly is a revolutionary in-memory data store that offers unparalleled performance and cost-efficiency for modern applications.
Dragonfly is an in-memory data store built as a drop-in replacement for Redis, aimed at developers and infrastructure teams running applications that depend on fast key-value storage and caching. It targets teams who want higher throughput and lower infrastructure costs without rewriting their existing Redis-based code. Capabilities Functions as a drop-in replacement for Redis, working with existing Redis client libraries and commands Delivers up to 25x more throughput than Redis on comparable hardware Performs snapshotting up to 12x faster than Redis Reduces infrastructure costs by up to 80% through more efficient resource use Who uses Dragonfly Dragonfly is suited to backend and infrastructure engineers who currently rely on Redis for caching, session storage, queues, or other in-memory data needs and want to scale that workload on less hardware. It fits teams looking to cut cloud spend on data infrastructure while maintaining compatibility with the Redis ecosystem they already use. Because it is compatible with existing Redis clients and commands, Dragonfly can typically be introduced into a maker's stack by pointing existing connections at it, without changing application code. This makes it a candidate for teams evaluating ways to reduce database and caching costs as their applications grow.
