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Source channel @githubtrending · Post #14772 · Jun 1

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#cplusplus#cache#cpp#database#fibers#in_memory#in_memory_database#key_value#keydb#memcached#message_broker#multi_threading#nosql#redis#valkey#vector_search Dragonfly is a modern in-memory data store compatible with Redis and Memcached, offering up to 25 times higher throughput and better cache efficiency while using up to 80% fewer resources. It scales well with larger servers, supports many Redis commands, and features a unique, memory-efficient cache and fast snapshotting. Dragonfly provides low latency, high performance, and is easy to configure with familiar Redis options. Its design ensures atomic operations and efficient resource use, making it ideal for fast, cost-effective cloud applications needing real-time data access and high scalability. This means you get faster, more efficient caching and data handling with minimal changes to your existing setup[5][2][4]. https://github.com/dragonflydb/dragonfly

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V1 Blog 科技｜生活｜主机评测｜Apple

@V1_BLOG · Post #1385 · 08/14/2019, 03:53 PM

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测速机场: AAEX Cloud 测速宽带: 广州移动200M 测速时间: 0814,10PM 官网: https://aaex.uk 交流群：@AAEX_CLOUD 清晰测速图：咕到明天 测速By-V1测速组 #AAEX 频道:@V1_BLOG 群组:@V1blog_group

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