The Definitive In-Memory Data Store Benchmark Report

As engineering teams face increasing pressure to deliver sub-millisecond performance at scale, choosing the right in-memory data store is no longer a minor infrastructure decision. This benchmark report provides a rigorous, side-by-side analysis of Dragonfly, Redis, and Valkey across throughput, latency, memory efficiency, and scalability tested across AWS and Google Cloud environments under real-world, high-concurrency conditions.

Inside this report, you'll find:

• How Dragonfly achieves 25x the throughput of Redis on identical hardware
• Why Valkey's single-threaded bottleneck limits scaling, and how Dragonfly delivers 2.4x to 4.6x higher throughput as core counts grow
• How Dragonfly's memory efficiency reduces storage requirements by up to 45% versus Valkey for sorted set workloads
• Why Dragonfly's multi-threaded, shared-nothing architecture unlocks 61% more throughput when moving to newer cloud hardware, with no retuning required
• The hidden operational costs of Redis snapshotting and how Dragonfly eliminates dangerous memory spikes entirely

Whether you're evaluating a migration from Redis, weighing Valkey as an alternative, or looking to right-size your infrastructure spend, this report gives you the data to make a confident decision.