There are 1 repository under in-memory-caching topic.
Distributed in-memory cache using gossip protocol in go-lang
All code samples, scripts and more in-depth examples for The Apache Ignite Book. Include Apache Ignite 2.6 or above
Vemcache is an in-memory vector database.
Proyecto OSS sobre cache en memoria.
FAST http key/value in-memory cache/database with REST interface
In-memory database with a key-value data model.
A Sample Java Microservices application integrated with AWS AppConfig service for retrieving application configuration along with implementing an in-memory cache to efficiently manage the application configuration.
A simple but efficient caching library written in Go.
A fast in-memory key-value store with a REST API interface for easy development and integration.
GatewayD plugin for caching query results
Retail Banking Demo application for Hazelcast IMDG and Jet
The Coherence Go Client allows native Go applications to act as cache clients to a Coherence cluster using gRPC for the network transport.
Redis and Memory Cache in ASP.NET Core Caching in ASP.NET Core, utilizing Memory Cache and Redis Cache, boosts application performance by storing data in memory. This reduces the strain on external resources like databases and APIs, resulting in faster responses and a smoother user experience
Make your dotnet core apps shine by using caching without cluttering your projects.
A tiny, pure JS in-memory object store, allowing for simple state management across a large application, in any framework.
Dragon Hoard is a fast, thread safe, developer friendly in-memory caching service.
Semantic caching for Python Functions
Simple Basic Thread Safe In Memory Database for small usages
Clean Architecture, Asp.Net Core Web API, EF Core, Jwt Authentication (Role base), Repository, Unit Of Work and CQRS Patterns, MediatR, Automapper, Fluent Validation, Global Exception Handling, Redis/InMemory Caching, Unit Testing (xUnit, Moq), RabbitMQ
This repository contains the CRUD operation using Redis with Spring Boot and Micro-services.Redis is an in-memory data structure project implementing a distributed, in-memory key-value database with optional durability. Redis supports different kinds of abstract data structures, such as strings, lists, maps, sets, sorted sets, HyperLogLogs, bitmaps, streams, and spatial indexes.
A simple in-memory cache implementation
This project is an API designed to demonstrate the basic usage of in-memory cache and Redis. The project includes functionalities such as establishing a Redis connection, storing data in Redis, and caching in memory.