Dragonfly

Sorted Sets That Outperform Redis

Dragonfly uses up to 40% less memory than Redis and keeps latency low—reducing infrastructure costs while delivering blazing-fast, responsive leaderboards.

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Why Sorted Sets hit Performance Walls As your Apps scale

High-performance sorted sets that stay fast at any scale

Sorted sets power all kinds of time-sensitive systems from player leaderboards and ride-hailing queues to real-time bidding systems, fraud scoring, and ML job scheduling. As usage grows, problems start to degrade. This causes rankings to become stale and queues back up during peak traffic.

Redis sorted sets hit a performance wall beyond 128 elements. Memory usage explodes with over 100% overhead on typical entries, while query performance degrades significantly. To keep up, teams set up complex clusters and spend time on manual sharding and constant tuning.

It’s not just a performance issue, it becomes an operational headache. These applications need a way to maintain fast, memory-efficient sorted sets that scale seamlessly, without the operational complexity.

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Dragonfly

Revolutionary B+ Tree Architecture for Sorted Sets

Dragonfly transforms sorted set performance with a custom B+ tree implementation that delivers up to 40% memory savings compared to Redis's skiplist design. The multi-threaded architecture achieves 4-5x higher throughput, allowing a single instance to handle millions of operations per second without complex clustering.

Migration from Redis to Dragonfly is seamless, as all Redis sorted set commands work identically, so you can use existing client libraries with zero code changes. Dragonfly maintains consistent sub-millisecond latency as datasets grow, eliminating the performance degradation that affects large Redis sorted sets.

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Transform Sorted Sets from Bottlenecks to Competitive Advantage

  • Optimization Icon

    Drive Higher User Engagement

    Dragonfly processes millions of ranking updates per second with 4-5x higher throughput, ensuring leaderboards and priority queues stay responsive during peak traffic when user engagement matters most.

  • Costs icon

    Increase Profit Margins

    Cut infrastructure costs by 40% through dramatic memory efficiency gains. Replace multiple Redis instances with a single Dragonfly node, reducing both hardware and operational overhead.

  • Inovation icon

    Accelerate Product Velocity

    Free engineers from managing Redis clusters and manual sharding. Dragonfly's single-node architecture eliminates the complexity of distributed sorted sets while delivering superior performance.

“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.”
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achieved 85% latency reduction from 200ms to 30ms
Ray Hughes
Ray Hughes
Co-Founder & CTO at Sharp App

Free In-memory Data Resources

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