Projects sharing features with Ioredis

redis-py is a Python client library for interacting with Redis databases to execute commands and manage key-value data. It serves as a driver for programmatic data manipulation, providing interfaces for Redis command execution and key-value storage. The project includes a dedicated cluster client that handles topology discovery, slot mapping, and request routing across distributed nodes. It further supports high availability through active-active deployment coordination, utilizing health checks and failure detection to trigger automatic failover between instances. The library incorporates ne

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

Redisson is a Java library and Redis client that functions as a distributed Java object mapper, caching provider, and locking framework. It maps Java collections and concurrency primitives to distributed implementations backed by Redis and Valkey, providing synchronous, asynchronous, and reactive APIs for interacting with these data stores. The project distinguishes itself by providing a comprehensive suite of distributed coordination tools, including a locking framework for managing semaphores and countdown latches across multiple application nodes. It also serves as a distributed messaging

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

Predis is a PHP library for connecting to and executing commands against Redis and Valkey data stores. It functions as a client for managing data integration, providing dedicated implementations for cluster sharding, pub/sub messaging, and Sentinel-based service discovery. The project distinguishes itself through specialized clients for executing server-side Lua scripts with automated hash caching and a cluster client that supports gossip protocols and key distribution. It also implements a Sentinel client to manage high availability and failover within replicated environments. The library c

Redigo is a Redis client library for Go applications, providing the means to execute commands, manage connections, and interact with Redis data stores. The library includes a connection pool manager to maintain a cache of reusable open connections and a pipelining tool that groups multiple commands into a single network round-trip to increase throughput and reduce latency. It also provides an implementation for broadcasting events and receiving real-time messages through Redis communication channels. The project covers broader capability areas including remote scripting for executing logic o

redis-py is a Python client library for executing Redis commands and managing in-memory data structures. It provides the necessary components to integrate Python applications with Redis for data storage and retrieval. The project includes a cluster client for monitoring health and managing automatic failover across multiple active-active database replicas. It also features a connection pool manager to maintain reusable socket connections and a dedicated pub/sub client for subscribing to real-time message channels. The library covers broad capability areas including performance optimization t

Lettuce is a Redis client library for Java that provides synchronous, asynchronous, and reactive programming models for interacting with Redis databases. It supports standalone, cluster, sentinel, pub/sub, and search operations through a single thread-safe connection model that handles command execution without blocking the calling thread. The library distinguishes itself through its reactive streams integration with Project Reactor, enabling non-blocking, backpressure-aware data processing with Mono and Flux types. It offers cluster slot routing that transparently handles MOVED and ASK redir

node-redis is a Node.js client and database driver for interacting with Redis key-value stores. It functions as a connection manager and data iterator, allowing applications to execute database commands and manage atomic transactions on a remote server using asynchronous JavaScript. The project provides specialized capabilities for handling large datasets through an asynchronous interface and supports connection pooling to isolate blocking operations. It includes support for client-side caching and token-based authentication via Entra ID. The driver covers a broad range of operational areas,

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

Jedis is a Java library for connecting to Redis servers to execute commands and manage key-value data structures. It serves as a Java client and connection manager that facilitates the storage and retrieval of high-performance data. The project provides a cluster client for distributing data and requests across multiple nodes to ensure scaling and high availability. It includes a dedicated pub-sub client for real-time messaging through channel subscriptions and a pipelining tool to increase throughput by sending multiple commands in a single network round-trip. The library covers a broad ran

This library is a Ruby client used to integrate Ruby applications with Redis databases. It provides a consistent interface for executing server commands and serves as a communication layer for managing database connectivity. The project includes specialized implementations for distributed environments, acting as a Redis Cluster driver for slot-aware request routing and a Redis Sentinel client for master instance discovery and failover management. It also functions as a distributed data sharder using consistent hashing and an SSL/TLS database connector for encrypted communication and mutual ce

Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and traces across distributed infrastructure. It functions as a modular engine that decouples data ingestion from processing and transmission, utilizing a component-based architecture to connect diverse sources to multiple destinations. The project distinguishes itself through a focus on reliability and flow control. It implements backpressure-aware data movement to prevent data loss during traffic spikes and utilizes disk-backed event buffering to ensure durability during network

Bull is a Node.js library for managing distributed jobs and message queues using Redis as the primary data store. It functions as a distributed task worker, job scheduler, and priority queue manager designed to handle asynchronous workloads across multiple processes. The project distinguishes itself by providing a persistent communication channel that decouples servers through the exchange of serializable data objects. It ensures distributed system reliability by detecting stalled tasks and recovering from process crashes to ensure every queued job is completed. The system covers a broad ran

RedisInsight is a graphical user interface and management tool for browsing, analyzing, and administering Redis databases. It provides a visual environment for exploring key-value data structures, managing database instances, and performing data analysis across different operating systems and deployments. The tool distinguishes itself by providing dedicated visual managers for complex operations, including a vector database manager for configuring embeddings and similarity searches, a query workbench for executing raw commands and Lua scripts, and a performance monitoring dashboard for tracki

Jedis is a Java library and database driver used to execute commands and manage data on Redis servers and distributed clusters. It functions as a network client that provides a low-level interface for manipulating data types, including JSON and vector sets. The project serves as a connection manager featuring automatic failover and token-based authentication to secure network connections. It manages data distribution across multiple nodes through cluster-aware topology mapping and handles connection failover to maintain service availability when a primary connection fails.

General purpose redis client

Medis is a native macOS desktop application that serves as a Redis client for connecting to local and remote instances. It provides a graphical user interface for visualizing, editing, and managing data stored within Redis key-value stores. The application includes a visual key-value explorer for browsing records and a dedicated terminal console for executing raw instructions and system shell commands. It supports secure remote administration through SSL encrypted connections and the use of host, port, and password credentials. Connection management is handled via profiles that allow saving

Objection.js is an object-relational mapper for Node.js that maps SQL database tables to classes and rows to model instances. It functions as a high-level abstraction layer built on top of the Knex.js query builder to provide structured model definitions and relational data mapping. The project distinguishes itself through its ability to manage complex object graphs, allowing for the persistence and eager-loading of deeply nested related data in single operations. It incorporates a data integrity layer that uses JSON schema validation to verify model instances before they are persisted to the

This project is a MySQL database driver and client for Node.js. It provides a JavaScript implementation of the MySQL protocol to facilitate connecting to, querying, and managing data within MySQL databases. The driver includes a connection pool manager to maintain a cache of reusable database connections, reducing the overhead of frequent network handshakes. It also supports row-by-row result streaming to process large datasets without loading entire result sets into memory. Core capabilities cover SQL query execution, the management of database transactions, and the coordination of multiple

Redisson is a Java client library for Redis and Valkey that provides a distributed data structure library, a distributed lock manager, and a distributed MapReduce framework. It enables application instances in a cluster to share state through thread-safe collections and objects. The project implements a JCache compliant caching layer for standardized data storage and retrieval. It also functions as a probabilistic data store, providing memory-efficient structures such as Bloom filters and HyperLogLog for high-volume data membership testing. The library covers distributed state management usi

Mongoose is an object data modeling library and framework for Node.js that maps application objects to MongoDB documents. It functions as a document mapper and schema validator, ensuring consistent data types and validation rules for records stored in MongoDB. The project provides a system for defining structured schemas to model application data, including the ability to create hierarchical data structures through nested schema composition. It implements a middleware-based hook system that allows for the interception and modification of data states during the lifecycle of database operations

This project is a Node.js client for PostgreSQL databases, providing a protocol parser to translate raw binary streams into JavaScript objects. It serves as a driver for executing queries, managing data, and integrating Node.js applications with PostgreSQL backends. The library includes a connection pool manager to reduce network overhead by caching reusable connections and a result streamer that uses cursors to retrieve large datasets incrementally. It also functions as an event listener for subscribing to asynchronous server-side notifications to trigger real-time application events. Broad

This project is a comprehensive Java backend engineering guide and technical reference focused on high-concurrency design, distributed systems, and microservices architecture. It provides detailed strategies for decomposing monolithic applications, managing service discovery, and implementing the architectural patterns required for scalable backend environments. The repository distinguishes itself through an extensive collection of big data algorithmic references and database scaling strategies. It covers memory-efficient techniques for analyzing massive datasets, such as Top-K element extrac

js-ipfs is an HTTP client library that connects to any IPFS daemon, enabling JavaScript applications to interact with the InterPlanetary File System. It provides a promise-based asynchronous API for managing content-addressed storage, where all data is identified by cryptographic hashes (CIDs) for immutable references and deduplication. The library communicates with a remote IPFS node through HTTP requests, supporting cancellation of in-flight operations via standard AbortController signals. The library offers a comprehensive set of capabilities for working with IPFS, including adding and ret

Godis is a Redis-compatible in-memory database and distributed key-value store. It functions as a replicated data store and distributed message broker, implementing the Redis protocol to manage complex data structures in memory. The system provides a geospatial indexing engine for proximity-based queries and distance calculations. It ensures high availability and data durability through master-slave replication and write-ahead logging. The project covers a wide range of capabilities including the management of strings, hash maps, lists, and sorted sets. It supports distributed data clusterin

Levelup is a sorted key-value storage system that saves and retrieves data using byte arrays as keys and values. It provides a compatibility layer for Node.js and browsers that offers a unified interface for storage backends compliant with a specific abstract standard. The project features an atomic batch write engine to execute multiple write and delete operations as a single unit for data consistency. It includes a range-based data streamer for reading keys and values as continuous sequences and an event-driven storage monitor to track asynchronous updates and state changes. The system cov