# Redis

Redis is a real-time data platform and database for applications, with Redis Cloud providing a fully managed deployment on major public cloud services. It supports application data, caching, search, and AI-oriented workflows through Redis and Redis Stack.

- Findings24: <https://findings24.com/pt/tools/redis>
- Site: <https://redis.io/>
- Preços: Freemium
- Categorias: Banco de dados vetorial

## O que é Redis?

Redis is a real-time database and data platform for applications that need fast access to data. Its product family includes Redis Open Source, Redis Software, and Redis Cloud. Redis Cloud is a fully managed database-as-a-service offering on major public cloud services, while Redis Software provides a Redis deployment option represented separately in the product documentation.

The platform supports Redis and Redis Stack and is used across application data, caching, search, and AI workflows. Its ecosystem includes language clients, framework integrations, operational tooling, observability connectors, and cloud provisioning tools.

## O que Redis pode fazer?

### Redis and Redis Stack support

Redis Cloud supports both Redis and Redis Stack, giving teams access to the database products documented in the Redis ecosystem.

### Scalable, highly available cloud databases

Redis Cloud provides linear scalability, instant failover, backups, and recovery for managed cloud deployments.

### Database and subscription management

The Redis Cloud console supports creating databases, editing and monitoring them, managing subscriptions, and reviewing performance.

### Programmatic administration

Teams can manage Redis Cloud databases and subscriptions through the REST API or the redisctl command-line tool.

### Broad client and integration ecosystem

Official and documented integrations include clients for Python, Java, Node.js, C\#/.NET, Go, PHP, Ruby, and C, plus framework, provisioning, and observability tools.

### AI and vector-data tooling

Redis documentation covers vector search, retrieval-augmented generation, semantic caching, and memory workflows through Redis for AI, RedisVL, LangChain, Google ADK, and related integrations.

## Casos de uso

### Real-time application data

Use Redis as a data layer for applications that need quick access to changing operational data and real-time experiences.

### Managed cloud database operations

Deploy a Redis database through Redis Cloud when a team wants managed setup, database monitoring, failover, backups, and recovery on a public cloud service.

### AI applications and RAG

Use Redis as a vector database or memory store for AI applications, including vector search, retrieval-augmented generation, and semantic caching.

### Framework-based application caching

Connect Redis to application frameworks such as Spring or FastAPI using their documented integrations for caching and connection-management workflows.

### Migration and data movement

Move data from AWS ElastiCache, Google Cloud Memorystore, or a self-hosted Redis instance to Redis Cloud using the documented migration paths; Redis Data Integration can keep Redis synchronized with a primary database in near real time.

## Perguntas frequentes

### What is Redis Cloud?

Redis Cloud is Redis's fully managed database-as-a-service offering on major public cloud services. It includes Redis and Redis Stack support, scalability, failover, backups, recovery, monitoring, and support.

### How can I get started with Redis Cloud?

The Redis Cloud documentation provides a quick-start flow for creating a free 30MB database. After creation, you can connect with redis-cli, a Redis client, or Redis Insight.

### Can Redis Cloud be managed programmatically?

Yes. Redis Cloud provides a REST API for managing databases and subscriptions, and the redisctl command-line tool wraps the Redis Cloud and Redis Software APIs.

### Which development tools connect to Redis?

The documented ecosystem includes clients such as redis-py, jedis, Lettuce, node-redis, StackExchange.Redis, go-redis, Predis, redis-rb, and hiredis. It also includes integrations for frameworks, AI tools, provisioning systems, and observability platforms.

### Can Redis be used for AI applications?

Yes. Redis documentation describes vector search, retrieval-augmented generation, semantic caching, and memory use cases, with tools and integrations including RedisVL, Redis for AI libraries, LangChain, Google ADK, and n8n.

## Informações rápidas

- **Category**: Real-time database and data platform
- **Managed offering**: Redis Cloud
- **Deployment options**: Cloud, software, and open source
- **Developer ecosystem**: Language clients, frameworks, AI tools, provisioning, and observability integrations
- **Free starting option**: Redis Cloud offers a free 30MB database
- **Primary workflows**: Application data, caching, search, AI memory, vector search, and data integration