#java #cache #distributed #distributed_locks #executor #hibernate #list #lock #map #mapreduce #queue #redis #redis_client #redis_cluster #scheduler #session #set #spring_cache #tomcat

https://github.com/redisson/redisson

#typescript #nodejs #redis #redis_client #redis_cluster #redis_module #redis_sentinel

https://github.com/luin/ioredis

#go #cache #client_side_caching #distributed #generics #golang #lock #redis #redis_client #resp3 #resp3_client

https://github.com/redis/rueidis

#typescript #node_redis #nodejs #redis #redis_client #redis_cluster

https://github.com/redis/node-redis

#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

#java #ai #bi #chatgpt #clickhouse #clickhouse_client #database #datagrip #db2 #dbeaver #gpt #hive #mysql #navicat #oracle #postgresql #redis #redis_client #sqlserver #text2sql

Chat2DB is a tool that helps you work with databases using AI. It will be available offline on October 25, so you can use it even without an internet connection. With Chat2DB, you can create SQL queries, generate reports, and explore data easily, even if you're not a database expert. It supports many different databases like MySQL, PostgreSQL, and more. The tool is user-friendly and makes database tasks simpler, saving you time and effort. You can download and install it from the official website to start using its powerful features.

https://github.com/CodePhiliaX/Chat2DB

#python #python #redis #redis_client #redis_cluster #redis_py

Redis-py lets you connect your Python programs to Redis, a fast in-memory database, making it easy to store and retrieve data quickly. You can install it with a simple command, and it works with the latest Redis versions. It supports advanced features like connection pools, pipelines for faster operations, and pub/sub for real-time messaging. Using Redis with Python helps your applications run faster, handle more users, and process data in real time, all while reducing the load on your main database[1][3][5].

https://github.com/redis/redis-py