阿里云_云数据库_Redis5.0

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5.0优势
企业级特性
特惠购买
实战场景
联系专家

5.0优势
企业级特性
特惠购买
实战场景
联系专家

全新Stream数据类型

支持多播的可持久化的消息队列。ACK 机制保证消息的安全可达，消费组设计提供丰富的应用场景，内存利用率高。

短连接优化

阿里云提交短连接优化并合入到最新 Redis 社区版。释放链接复杂度由O(n)降低为O(1)，提升短连接释放效率。

动态CPU调度调整

根据 IO 动态调整 HZ 值，平衡空闲 CPU 的使用率和响应性。

全新 Redis 企业级特性加持

Redis性能增强版本是阿里云自研的完全兼容Redis协议的高性能缓存服务。

Redis性能增强版本是阿里云自研的完全兼容Redis协议的高性能Redis版本，通过将网络收发、协议解析分发到多个IO线程解决了开源Redis单线程的性能瓶颈，极大提高了单实例的吞吐能力，同时能够更好的应对热点数据的读写。相比开源Redis，单实例读写性能是开源版本的300%。

混合存储版，提供超高性价比，大容量缓存解决方案。

所有的Key和经常访问的Value会被保存在内存中，保证绝大部分请求的极致性能。不常访问的Value（冷数据）则会被存储到磁盘上，以达到内存利用最高性价比。对比纯缓存版，成本下降40%到80%。

新用户试用专享优惠

双副本1G规格，30元/1个月

查看详情

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热门规格推荐

1G主从版（5.0）
连接数 10000
带宽 10 MB
QPS 100000

¥ 100 元/月

立即购买

4G主从版（5.0）
连接数 10000
带宽 24 MB
QPS 100000

¥ 340 元/月

立即购买

16G读写分离版（1节点1只读）
连接数 20000
带宽 192 MB
QPS 200000

¥ 2480 元/月

立即购买

16G集群版（8节点）
连接数 80000
带宽 768 MB
QPS 800000

¥ 1500 元/月

立即购买

典型实战场景

视频直播类应用

游戏分服类应用

电商行业类应用

互联网类应用

通用：DMS跨数据库查询

视频直播类应用
游戏分服类应用
电商行业类应用
互联网类应用
通用：DMS跨数据库查询

视频直播类应用

数据库性能高扩展

视频直播类节目中会大量出现流量突发场景，云数据库Redis集群版轻松突破Redis自身单线程瓶颈，QPS最高达到百万级，满足低时延、高并发的业务要求。

能够解决的问题

全透明弹性扩容

从容应对系统访问量、用户量、流量突发问题，不影响现有业务
数据安全稳定

集群版每个节点采用双机热备架构，容灾备份，数据安全可靠

满足分服、滚服弹性扩展

游戏公司为了快速抢占市场，需要快速的开发出新产品吸引玩家，云数据库Redis版能减少系统开发复杂度，业务爆发时可轻松弹性扩容，满足高性能业务要求。

能够解决的问题

数据持久化

减少业务的数据库引擎，减轻开发复杂度
一键克隆

解决一天多次开服需求，根据备份文件直接克隆实例
数据灾备

数据7天内免费备份，一键恢复，数据安全有保障

大数据处理无缝对接

电商行业中如大型促销秒杀系统或者带有计数系统的库存系统，系统整体访问压力巨大，云数据库Redis版轻松承载读取压力并提供数据持久化。

能够解决的问题

高QPS

Redis单线程提供超过10万的高QPS，满足高并发场景
数据持久化

提供定时快照RDB和附件文件AOF两种模式，保障数据持久化
优化存储架构

Redis+RDS存储架构，缓存+持久化存储，提升数据库性能

缓存适配场景

网站类应用场景中网站读写压力要求较高，且对成本要求控制，单节点Redis版满足纯缓存的应用，提供高QPS性能，数据持久化到底层RDS。

能够解决的问题

高读写性能

Redis单线程提供超过10万的高QPS，升级为单节点集群版后可承载超大流量压力
高可用

单节点故障不影响业务
高性价比

单节点Redis版满足纯缓存应用，提供超高性价比

各种关联查询

跨数据库查询为不同环境下的在线、异构数据源，提供及时的关联查询服务。不论数据库是MySQL、SQLServer、PostgreSQL还是Redis，不论数据库实例部署在哪个region哪个环境，通过一条SQL就能实现这些数据库实例之间的关联查询。

能够解决的问题

垂直、水平拆分后的跨数据库查询

如：常见的商品库、订单库的实时关联查询，多region、多单元的汇总关联查询
异构数据库的关联查询

如：数据从SQLServer迁移至MySQL，进行关联查询做一致性对比
混合云场景的关联查询

如：本地IDC自建环境与跨云环境进行数据关联查询

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数据库性能高扩展

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满足分服、滚服弹性扩展

能够解决的问题

推荐搭配产品

大数据处理无缝对接

能够解决的问题

推荐搭配产品

缓存适配场景

能够解决的问题

推荐搭配产品

各种关联查询

能够解决的问题

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