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Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations
KeyDB is a multithreaded in-memory key-value store and distributed cache. It functions as a NoSQL database utilizing multi-version concurrency control to execute non-blocking queries and scans. The project is a multithreaded fork of Redis that maintains protocol compatibility while utilizing a multithreaded architecture to scale across multi-core hardware. It distinguishes itself with flash-tiered storage, allowing the system to offload data from primary RAM to SSD or flash storage to increase total capacity. The system supports high availability through active-active mesh replication and mu
This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha
Garnet is a multi-threaded in-memory database and distributed key-value store. It functions as a high-performance remote cache store that implements the RESP wire protocol to maintain compatibility with existing Redis clients and libraries. The project is distinguished by a shared-memory architecture that enables parallel request processing across multiple cores for sub-millisecond latency. It features a tiered storage system that automatically offloads colder data from system memory to SSD or cloud storage layers, and includes a specialized vector search database for high-dimensional similar
This project is a native Windows port of the Redis in-memory key-value store. It provides a high-speed database that maintains datasets in RAM while using periodic snapshots to disk for data persistence.
The main features of redis-windows/redis-windows are: In-Memory Data Stores, Redis Compatible Stores, In-Memory Caches, Local Data Persistence, Redis Deployment Tools, Key-Value, Native Windows Execution, State Serialization.
Open-source alternatives to redis-windows/redis-windows include: tporadowski/redis — Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL… snapchat/keydb — KeyDB is a multithreaded in-memory key-value store and distributed cache. It functions as a NoSQL database utilizing… redis/go-redis — This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive… microsoft/garnet — Garnet is a multi-threaded in-memory database and distributed key-value store. It functions as a high-performance… memcached/memcached — Memcached is a high-performance, distributed, in-memory key-value storage and request routing engine. It functions as… huangzworks/redis-3.0-annotated — This project provides a version of the Redis 3.0 codebase featuring detailed technical commentary and annotations. It…