Dragonfly is a drop-in Redis® replacement that is optimized for data-intensive, low latency applications. Applications built on Dragonfly get the full speed, reliability, and scalability that modern cloud hardware makes possible, allowing them to deliver incredible experiences to their users while reducing both costs and complexity.
Trusted by developers from
Join us to explore the cutting-edge world of Dragonfly, a modern, multi-threaded, ultra-high-performance alternative to Redis. In this interactive workshop, we’ll guide you through a seamless migration from Redis to Dragonfly.
In this article, we will explain the main reasons why your Redis instance might fail, and provide advice to avoid this.
A thorough benchmark comparison of throughput, latency, and memory utilization between Redis and Dragonfly.
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
QPS benchmark on AWS r6gn.16xlarge. Snapshot benchmark on AWS r6gd.16xlarge.Source
More QPS than Redis
Faster snapshotting than Redis
Reliable By Design
Dragonfly makes extremely efficient use of memory (i.e., no spike in usage during snapshotting), dramatically reducing the risk of out-of-memory outages.
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.
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.
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 6 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
Dragonfly utilizes unique and innovative algorithms and data structures, including Dashtable and DenseSet . This makes Dragonfly on average 30% more efficient than Redis, meaning you can achieve the same performance and scale on less hardware, significantly reducing total infrastructure costs. In addition, Dragonfly is much simpler to operate, resulting in a far lower total cost of ownership.
Memory usage under BGSAVE. Filling with 5GB of data using debug populate 5000000 key 1024, sending the update traffic with memtier, and snapshotting with bgsave. Source
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.