GitHub Trends

#cplusplus#compaction#database#distributed_database#kvstore#nosql#rocksdb ToplingDB is a faster and more advanced key-value database built on RocksDB, designed for better performance and flexibility. It supports easy configuration through JSON/YAML, has an embedded web server to monitor and change settings without restarting, and improves speed with features like faster transaction locks and concurrent IO. It also offers plugins for enhanced functions and cloud-native services like MySQL and Redis on ToplingDB. This means you get a powerful, efficient database that is easier to manage and scales well for large or distributed systems, saving you time and improving your application's speed and reliability. https://github.com/topling/toplingdb

#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