Dragonfly Features

Non-contending, multi-threaded processing mean much higher throughput on the same hardware. Read this benchmark report for the details.

Dragonfly’s unique caching algorithm means higher hit rates and better protection for your primary database.

Consistent sub 1ms P99 latency. Read this benchmark report for the details.

Vertically scaling a single node is quicker, cheaper, and more predictable than Redis Cluster and other multi-node approaches.

Dragonfly’s multi-threaded, shared-nothing architecture scales vertically up to 1TB of memory on each instance.

Dragonlfy automatically shards data between CPUs, eliminating the complexity around resharding.

Dragonfly’s unique data structures allow for surplus compute to be put towards compression, delivering far better memory utilization.

Dragonfly runs tasks asynchronous, allowing you to squeeze more cycles out of each CPU.

Dragonfly utilizes all the hardware resources, allowing you to run the same workloads on a smaller instances.

Predictably low memory usage during snapshotting. Snapshots complete up to 30X faster when compared to Redis.

Already using Redis or Memcached? Start enjoying increased speed and performance without touching your code.

A single binary that can be deployed via Docker, K8, or anywhere else you choose.

Already using Redis or Memcached? Start enjoying increased speed and performance without touching your code.

Native support for Prometheus, no agent required.