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Scalable, shared memory layers designed to store frequently accessed data across distributed environments.
Distinguishing note: Focuses on the engine architecture for shared, distributed memory access rather than local caching strategies.
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Dragonfly is a high-performance, multi-model in-memory data store designed to serve as a drop-in replacement for existing database infrastructures. By utilizing a multi-threaded, shared-nothing architecture and a fiber-based concurrency model, it maximizes CPU utilization and minimizes latency for read and write operations. The system supports a wide range of data structures, including strings, hashes, lists, sets, sorted sets, and JSON documents, while maintaining full compatibility with standard industry wire protocols and client libraries. What distinguishes Dragonfly is its focus on effic
A scalable infrastructure component that accelerates application performance by storing frequently accessed data in a shared, low-latency memory layer.