About Dragonfly
Dragonfly is an in-memory data store that works with Redis, Valkey and Memcached clients. It is built for high request volumes, caching and real-time data work.
What it does
Dragonfly keeps data in memory so applications can read and write it with very low delay. It speaks the same protocol as Redis, Valkey and Memcached, so many existing apps can move over with few code changes. Teams often use it for caching, feature serving, job queues and leaderboards that need to update quickly.
Key features
- Works with Redis, Valkey and Memcached client APIs
- Multi-threaded engine for high request volumes
- Sorted sets for real-time leaderboards
- Memory efficient storage for large datasets
- Managed cloud service available
Who it's for
Backend and platform teams that run caching, job queues or real-time features and need high throughput from one data store. It also suits startups that want a fast store they can adopt without rewriting their data layer.
Pricing and good to know
A free start option is offered, with no card needed to sign up. The company also states that Enterprise use is free in production up to 100 vCPUs. A managed Dragonfly Cloud service is available for teams that do not want to run servers. Check the current plan details before you plan a larger deployment.
Highlights
- Works with Redis, Valkey and Memcached client APIs
- Multi-threaded engine for high request volumes
- Sorted sets for real-time leaderboards
- Memory efficient storage for large datasets
- Managed cloud service available
