Distributed Caching
Showing 14 of 14 projects
A fast, scalable, multi-language, and extensible build system for software of any size.
A high-performance, distributed, in-memory key-value cache store for speeding up dynamic web applications.
A distributed caching and cache-filling library for Go, designed as a replacement for memcached clusters.
A high-performance Java client for Redis designed for ease of use and comprehensive Redis feature support.
A semantic cache library for LLM queries that reduces API costs by 10x and boosts response speed by 100x.
A distributed caching platform that bridges computation frameworks and storage systems for large-scale analytics and ML workloads.
A unified real-time data platform combining stream processing with a fast data store for instant action on data-in-motion.
A high-performance .NET client for Redis and Redis-compatible servers like Azure Cache, ElastiCache, Garnet, and Valkey.
A distributed database for high-performance computing with in-memory speed, ACID compliance, and ANSI SQL support.
A lightweight, high-performance microservices framework for .NET Core with RPC, service discovery, and event-driven architecture.
A high-performance pure Ruby client for memcached servers with thread safety, failover, and OpenTelemetry support.
A high-performance Go Redis client with auto pipelining, server-assisted client-side caching, and support for Redis modules.
An open-source caching library for .NET Core that simplifies basic and advanced caching operations with multiple provider support.
A powerful, feature-rich in-memory key/value caching library for Elixir with support for transactions, fallbacks, and expirations.
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