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Source channel @githubtrending · Post #14772 · Jun 1

#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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@android_mod_featured · Post #1147 · 11/01/2024, 06:46 PM

Drops - 点滴学语言 版本:38.47 外语学习高效轻松上手 德语西班牙语意大利语法语土耳其语俄语小语种词汇入门神器 • 解锁 Pro 高级版 • 去除广告 🔗 点击下载 #Drops#教育

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@kejiqu · Post #3648 · 07/19/2025, 01:01 AM

谷歌推出“Gemini Drops”,新增生产力规划师 Gem 谷歌宣布推出“Gemini Drops”功能更新,效仿Pixel和Workspace,为其生成式人工智能模型带来新功能。此次更新的重点是“生产力规划师 Gem”,旨在提升用户的工作效率。此次更新标志着Gemini正式加入了定期功能更新的行列。9to5Google 🏷#Gemini#Drops#生产力规划师#Gem#更新 📢频道👥群组📝投稿

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