An In-Memory Data Store Built for The Real-Time At Scale
Dragonfly is a data store that was built from the ground up to deliver the performance and scalability requirements of modern, cloud based, heavy data workloads.
What Makes Dragonfly Different?
Dragonfly was specifically designed to handle the heaviest in-memory workloads.
With Redis and Memcached compatibility, Dragonfly is a high-performance, in-memory data store built to seamlessly replace Redis and Memcached—no code changes required. It's designed for teams running real-time applications, from caching to ML inference to message queues.
Unlike Redis, which was built for a single-threaded world, Dragonfly is engineered from the ground up to take full advantage of modern multi-core CPUs. It delivers breakthrough performance, exceptional memory efficiency, and scale—without the complexity of clustering or manual tuning.
Legacy Infrastructure Wasn't Built For This
AI and ML use cases create scaling walls. Dragonfly breaks through them.
Redis and Valkey are often the default choice for in-memory data, but they were not built for the scale and concurrency demands of modern, data intensive use cases.
Performance walls emerge as workloads grow, from slow leaderboards to failing queues.
Operational overhead piles up, with sharding, tuning, and rebalancing eating up engineering hours.
Cost increases as teams deploy more Redis instances to keep up with demand.
Legacy constraints prevent teams from achieving the performance and reliability they need.
Dragonfly solves these challenges by combining Redis/Valkey compatibility with a breakthrough architecture that eliminates scaling complexity.
Engineered for Modern Hardware, Designed for Real-Time Scale
Inside Dragonfly's architecture: multi-threaded speed, memory-smart design, and zero bottlenecks.
Dragonfly reimagines in-memory storage for today's hardware:
Multi-threaded, shared-nothing architecture
Fully parallel processing with zero contention, maximizing hardware utilization.
Smart, defragmentation-resistant memory management:
Zero-copy design and optimized allocators enable vertical scaling without resharding.
Lock-free, async processing:
Enables 25x higher throughput on common workloads.
Custom B+ Tree for sorted sets:
40% less memory usage vs. Redis's skiplist.
Single binary deployment:
Use Docker, Kubernetes, or even go bare metal without needing to worry about clustering.
The result? Consistent sub-millisecond latency, higher hit rates, and simplified infrastructure at a fraction of the cost.
See all featuresWhy Teams Choose Dragonfly
Performance, efficiency, and simplicity—without compromise.
Redis has become the default choice for in-memory data, but it wasn't built for the scale and concurrency demands of modern applications.
Blazing speed
Dragonfly handles millions of operations per second with sub-ms latency—up to 25x better performance than Redis.
Lower infrastructure costs
Up to 80% reduction in resource spend by replacing Redis clusters with fewer, higher performance Dragonfly nodes.
Drop-in compatibility
Fully compatible with Redis and Memcached APIs. No code changes, no retraining, no migration headaches.
Simply operations
No sharding, rebalancing, or tuning required. Deploy a single binary and go (even in Kubernetes).
Built for scale
Vertically scales up to 1TB of memory per node. Designed to support massive real-time workloads with confidence.
View the full benchmark reports
View reportsChoose How You Deploy
Pick the deployment option that fits your team's needs and infrastructure requirements.
Labels
- Access
- Deployment
- Support & Community
- Updates
- Best For
Community
- Access:
Free to use, modify, and distribute
- Deployment:
Self-hosted on your infrastructure
- Support & Community:
Community support via GitHub
- Updates:
Manual updates and patches
- Best For:
Developers and small teams
Cloud - Business
- Access:
Managed service with pay-as-you-go pricing
- Deployment:
Fully managed in our cloud
- Support & Community:
Support from the Dragonfly Team
- Updates:
Automatic updates and maintenance
- Best For:
Production applications
Cloud - Enterprise
- Access:
Custom licensing and SLA agreements
- Deployment:
Fully managed in your cloud
- Support & Community:
Dedicated support team
- Updates:
Priority updates and custom patches
- Best For:
Large organizations
Where Dragonfly Shines
Real problems. Real-time solutions.
Sorted Sets for Real-Time Rankings
Keep leaderboards, ride queues, and ML schedulers fast—even during peak demand. Enjoy 4x higher throughput and 40% less memory usage than Redis to accelerate time-to-market and increase profit margins.
Messages Queue for Background Jobs
Power high-concurrency job queues without failures, retries, or cluster overhead. Automatically handle customer demand surges at up to 8M queue ops/sec. Remain stable during 10x traffic surges to protect revenue and risk-sensitive workflows.
Feature Stores for ML Inference
Serve high-uptime features in under 1ms and drive more ML revenue with infinite scale. No sharding or tuning required.
What Our Users Are Saying
How teams are crushing latency, cost, and complexity with Dragonfly.
"I really can't say enough, Dragonfly exceeded my expectations. The usage is low, the load is low, and everything is just wired perfectly in the system."
Co-Founder & CTO at Sharp App
Ready to Go Faster with Fewer Resources?
Try Dragonfly now, and experience next-gen performance with plug-and-play simplicity.