
Redis and Dragonfly Architecture Comparison
This blog post provides a comparison of Redis and Dragonfly architectures, highlighting Dragonfly's advanced solutions for overcoming Redis's limitations in performance, scalability, and memory efficiency.
Dragonfly accelerates trading, fraud detection, and digital banking with sub-millisecond latency, memory-efficient caching, and seamless scalability—so financial systems never miss a beat.
Trusted by teams building the future of finance.
Markets move fast—and so should your systems. Dragonfly is a modern in-memory datastore purpose-built for financial applications where latency, consistency, and uptime are non-negotiable.
From high-frequency trading engines and real-time session stores to fraud detection systems and personalized banking experiences, Dragonfly delivers sub-millisecond responses at millions of QPS—without the operational burden of Redis clusters.
Dragonfly provides both, offering up to 25x the performance on the same hardware and full Redis compatibility out of the box. Experience significant cost savings and operational simplicity without compromising on performance.
Dragonfly Cloud is engineered to handle the heaviest data workloads with the strictest security requirements.
Deliver real-time balances, personalized offers, and session-aware experiences with a cache layer built for performance and resilience.
Support low-latency order books, price feeds, and risk engines that need deterministic performance—especially under traffic spikes.
Run fraud detection, rate limiting, inventory visibility, and dynamic pricing at scale with native Redis data structures and extreme throughput.
"With Redis, we would have hiccups that dramatically impacted performance every week or two, we've had none since we migrated to Dragonfly."
Create a Dragonfly Cloud account and receive $100 in credit to try it out.