We are thrilled to announce Dragonfly Search, enabling both vector search and faceted search in our robust and performant in-memory data store.
We are thrilled to announce the General Availability of the Dragonfly Kubernetes Operator.
Dragonfly, an in-memory database that can be a drop-in Redis replacement, now supports replication for high availability in its version 1.0 release.
We are thrilled to announce the latest addition to our in-memory data store - the Kubernetes operator for Dragonfly!
We are pleased to announce that Dragonfly 1.0, the most performant in-memory datastore for cloud workloads, is now generally available.
2022 saw the emergence of a new technology and database project Dragonfly as well as the founding of a new company (DragonflyDB) to shepard and evolve it.
Infrastructure should be boring. Boring is good. Boring means that it just works, and you don’t have to worry about it. A year ago, we went on a quest to build a boring in-memory store.
Dragonfly crossed the 10K GitHub stars milestone in just 75 days. What an incredible start for our journey!
We could not have predicted the events of the last days. In a single week, Dragonfly transformed from a dream to reality.