Dragonfly is a drop-in replacement for Redis that utilizes a multi-threaded architecture to enhance data throughput and reduce latency, achieving up to 25 times the performance of traditional in-memory data stores. By enabling organizations to operate with significantly lower infrastructure costs—up to 80% savings—Dragonfly addresses the inefficiencies of single-threaded systems in cloud environments.
Funding
$21M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional in-memory data stores like Redis often struggle to efficiently utilize modern multi-core cloud hardware, leading to performance bottlenecks and increased infrastructure costs. Scaling these systems can be complex and expensive due to their single-threaded nature.
Solution
Dragonfly is a high-performance, in-memory data store designed as a drop-in replacement for Redis and Memcached, optimized for modern cloud environments. By leveraging a multi-threaded, shared-nothing architecture, Dragonfly achieves significantly higher throughput and lower latency compared to legacy systems. This architecture allows Dragonfly to fully utilize modern cloud hardware, resulting in substantial cost savings and simplified operations. Dragonfly's compatibility with existing Redis APIs and client libraries enables seamless migration without requiring code changes.
Target Audience
Dragonfly targets developers and organizations that require high-performance, low-latency data storage for applications such as real-time analytics, caching, session management, and gaming.
Features
- Multi-threaded architecture for enhanced data throughput and reduced latency
- Drop-in replacement for Redis and Memcached with full API compatibility
- Optimized for modern cloud computing environments
- Vertical scaling capabilities, reducing the need for complex clustering
- Support for Redis and Memcached APIs, Redis CLI, Redis JSON, Redis Search, and Bloom Filters
- Native Open Telemetry support
- LRFU eviction policy for efficient cache management
- Async core
- Snapshotting speed 12x faster than Redis