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A lightweight next-gen data explorer - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB & Elastic Search with Chat interface.
Open-source framework for building asynchronous web services that interact with event streams.
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Background Jobs processing and message queue for NodeJS. The fastest, most reliable, Redis-based distributed queue for Node. Carefully written for rock solid stability and atomicity.
Scale your background job processing using Node.JS.
BullMQ is a fast and robust background job processing library for Redis™.
BullMQ is a Node.js library that implements a fast and robust queue system built on top of Redis that helps in resolving many modern age micro-services architectures.
A PHP object mapper for Redis.
An Object Mapper for Redis®, designed to providing an intuitive and familiar interface for PHP developers to interact with Redis.
A drop-in replacement of Redis with SQL-based realtime reactivity.
Simple web interface to manage Redis databases.
Redis-Commander is a node.js web application used to view, edit, and manage a Redis Database
Open Source Distributed POSIX File System for Cloud. JuiceFS is a distributed POSIX file system built on top of Redis and S3.
JuiceFS is a high-performance POSIX file system released under Apache License 2.0, particularly designed for the cloud-native environment. The data, stored via JuiceFS, will be persisted in Object Storage (e.g. Amazon S3), and the corresponding metadata can be persisted in various compatible database engines such as Redis, MySQL, and TiKV based on the scenarios and requirements.
With JuiceFS, massive cloud storage can be directly connected to big data, machine learning, artificial intelligence, and various application platforms in production environments. Without modifying code, the massive cloud storage can be used as efficiently as local storage.
The open-source task manager for super tiny teams with a lot of built-in features.
This project is an open-source project manager for small teams with low budget. It includes essential features for running your team.
Redis re-implemented with SQLite.
Redka aims to reimplement the good parts of Redis with SQLite, while remaining compatible with Redis API.
A distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.
Kvrocks intends to decrease the cost of memory and increase the capacity while compared to Redis. The design of replication and storage was inspired by rocksplicator and blackwidow.
Backup multiple database types on a scheduled basis with many customizable options.
This will build a container for backing up multiple types of DB Servers.
Backs up CouchDB, InfluxDB, MySQL/MariaDB, Microsoft SQL, MongoDB, Postgres, Redis servers.
A new project to resume development on the formerly open-source Redis project. We're calling it Valkey, since it's a twist on the key-value datastore.
Valkey is a high-performance data structure server that primarily serves key/value workloads. It supports a wide range of native structures and an extensible plugin system for adding new data structures and access patterns.
The Faster Redis Alternative. A Multithreaded Fork of Redis.
KeyDB is a fully open source database, backed by Snap, and a faster drop in alternative to Redis.
KeyDB is a high performance fork of Redis with a focus on multithreading, memory efficiency, and high throughput. In addition to performance improvements, KeyDB offers features such as Active Replication, FLASH Storage and Subkey Expires. KeyDB has a MVCC architecture that allows you to execute queries such as KEYS and SCAN without blocking the database and degrading performance.
- [KeyDB @ GitHub](http://The Faster Redis Alternative).
🌸 HTTP REST API caching middleware, to be used between load balancers and REST API workers.
A modern replacement for Redis and Memcached.
Dragonfly is a modern in-memory datastore, fully compatible with Redis and Memcached APIs. Dragonfly implements novel algorithms and data structures on top of a multi-threaded, shared-nothing architecture. As a result, Dragonfly reaches x25 performance compared to Redis and supports millions of QPS on a single instance.