Modern Redis® Alternative

Need a scalable Redis replacement? Dragonfly is a modern Redis alternative that delivers 25x the performance of Redis per instance. Fully compatible with Redis API, Dragonfly scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance.

QPS benchmark on AWS c6gn.16xlarge. Snapshot benchmark on AWS c6gn.4xlarge.Source.

Trusted by developers from

  • Buzzfeed
  • Ubisoft
  • Epic
  • jetBlue
  • Wayfair


Our service is data-intensive, demanding a database capable of sub-millisecond reads and fully leveraging our multi-core environment. After much research and benchmarking, Dragonfly emerged as the unparalleled choice. Since then, we've experienced a significant uptick in efficiency and reliability. Dragonfly's innovative technology has not only met our high-performance expectations but has also seamlessly integrated into our existing infrastructure, allowing us to scale our services like never before.

Civa Kumar

Civa Kumar

Co-founder, SolidHash Inc


As you've seen from the counters, I'm a very heavy user of this in-memory database technology. I've gone through Redis, KeyDB, and finally Dragonfly, and I have no doubt that it's by far the best product I've ever used.


Fernando Macho

Community Contributor

Dragonfly is a great Redis/Memcached alternative. Native to run in Kubernetes environments, scalable and easy to use. I use it in production and have no problems 👍

Mickaël Stanislas

Mickaël Stanislas

Design Engineer, Orange Business


Our recent migration to Dragonfly from our Redis instance has been nothing short of transformative for our company. The transition was mostly seamless, and the robust features of Dragonfly have elevated our database management to a new level. Our throughput is no longer bottlenecked, and now we no longer have to focus on constant hardware upgrades and we can focus on changing the world.


Community Contributor

Engineer Enterprise Storage

The fact that it's a drop-in replacement for Redis in terms of APIs and libraries made the decision super easy.

Ran Aroussi

Ran Aroussi

Founder, Tradologics


Dragonfly's a game-changer for us: super efficient, smooth failover, and easy scaling—all without the usual headaches.

Gajus Kuizinas

Gajus Kuizinas

Co-Founder, Contra


Awesome support and features from Dragonfly.


Daniel K



Dragonfly has been my drop-in replacement for Redis for a few months now. There's a lot to love. We've saved significantly on infrastructure costs due to the vertical scaling capabilities and optimizations. The support team is responsive and has solved two of our bugs within a few days. Great work Dragonfly!


Community Contributor

One of the most significant advantages we've observed since switching to Dragonfly is the remarkable performance improvement. It has efficiently handled our large datasets and complex queries, significantly reducing data retrieval times.

Pedro Maia

Pedro Maia

Founder & Director, GPM Participações & Tecnologias


Extreme Performance

Dragonfly delivers 25x the performance of legacy software

The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect.

View the benchmarks
Throughput (QPS)
3,970,000 QPS
148,000 QPS
Snapshotting Speed (MB/s)
1260 MB/s
107 MB/s

QPS benchmark on AWS c6gn.16xlarge. Snapshot benchmark on AWS c6gn.4xlarge.Source


More QPS than Redis


Faster snapshotting than Redis

Reliable By Design

Dragonfly delivers the reliability your customers expect

Efficient Snapshotting

Dragonfly makes extremely efficient use of memory (i.e., no spike in usage during snapshotting), dramatically reducing the risk of out-of-memory outages.

High Availability

Dragonfly natively supports an eventually consistent primary-replica model to achieve high availability. If an outage on the primary occurs, Dragonfly will automatically failover to the replica and promote it as the primary.

Vertical Scaling

Dragonfly is a simple system with a single instance for workloads up to 1TB. This eliminates the fragility inherent to distributed clusters and dramatically improves the reliability of the system.

Effortless Scale

Dragonfly scales effortlessly, even for the heaviest workloads

Dragonfly is architected to deliver the scalability that modern data workloads require. Say goodbye to complex multi-node environments with endless configuration options and infinite points of failure. Dragonfly can effortlessly scale up to handle over 1TB of data and 4 million QPS on a single node, with a simple primary-replica pattern for high availability.


In-memory datasets on a single instance


Less memory usage

Fully compatible with Redis

Dragonfly is a drop-in Redis replacement, meaning it uses the same APIs and is compatible with all of the same SDKs and tooling. Teams that switch from Redis to Dragonfly get huge performance gains and a simpler system to operate, all without changing code.

  • Redis API compatible
  • Snapshotting speed
  • Lua
  • QPS per instance
  • Async core
  • LRFU eviction
  • Memcached API compatible
  • Native Open Telemetry


  • 1260MB/s
  • 5.4.4
  • 3.9M


  • 107MB/s
  • 5.1
  • 150K

Learn More

Diving Deep into Sidekiq and Redis

Diving Deep into Sidekiq and Redis

Join us for our March Office Hours featuring a special conversation from the creator of Sidekiq.

Aiven for Dragonfly: Redis Scalability Issues Solved

Aiven for Dragonfly: Redis Scalability Issues Solved

Join us for an exciting webinar where we will discuss how Aiven for Dragonfly solves Redis scalability issues.

Redis vs. Dragonfly Scalability and Performance

Redis vs. Dragonfly Scalability and Performance

A thorough benchmark comparison of throughput, latency, and memory utilization between Redis and Dragonfly.

Start building today

Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.