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Valkey

A high-performance distributed key-value database optimized for caching and real-time workloads.

Detailed Introduction

Valkey is a high-performance distributed key-value database optimized for caching and real-time workloads. It preserves the familiarity of Redis while offering native data structures, a modular plugin system, and flexible persistence and replication strategies to meet high-concurrency, low-latency requirements. The project is community-driven and hosted on GitHub with documentation and releases available on the official site.

Main Features

  • Redis protocol compatibility for easy migration and ecosystem interoperability.
  • Rich native data structures and extension points for custom modules and access patterns.
  • Optimized execution paths and optional memory allocators to improve throughput and reduce latency.
  • Support for TLS, RDMA, and cross-platform builds (Linux, macOS, *BSD) for enterprise deployments.

Use Cases

  • High-concurrency caching and session stores that require minimal access latency and high throughput.
  • Real-time counters, leaderboards, and ephemeral state management.
  • System migrations that require Redis compatibility but demand scalable performance.
  • Deployments in distributed environments that benefit from module extensions or specialized transports (e.g., RDMA).

Technical Features

  • Modular architecture and plugin system for extending commands and data structures.
  • Multiple build options (Makefile / CMake) and platform support to integrate into CI/CD pipelines.
  • Comprehensive test and benchmark suites, with runtime tuning options for production workloads.
  • Community-driven development; source hosted on GitHub (see oss_date frontmatter) with an active contributor base.

Summary

Valkey is an open-source key-value database engineered for production use, suitable for caching and real-time systems with strict latency and throughput requirements. Visit the project homepage or repository to learn more.

Valkey
Resource Info
🗄️ Database 🌱 Open Source