#java #cache #distributed #distributed_locks #executor #hibernate #java #json #lock #map #micronaut #quarkus #queue #redis #redis_client #scheduler #session #spring #tomcat #valkey #valkey_client

Redisson is a powerful Java client for Redis and other real-time data platforms. It offers high-performance, thread-safe, and asynchronous connections, making it ideal for complex applications. You can use it with various deployment types, such as single, cluster, sentinel, and more, and it is compatible with major cloud services like AWS, Azure, and Google Cloud. Redisson supports many features like distributed locks, counters, collections, and services, as well as integration with popular frameworks like Spring and Micronaut. This makes it easier to manage and scale your data efficiently, ensuring reliability and performance in your applications.

https://github.com/redisson/redisson

#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