跳至主要内容

Amazon EFS 和 Amazon S3 有什么区别？

并排比较 Amazon EFS 和 Amazon S3 — 功能、定价和理想使用场景，以帮助您选择正确的产品。

并排比较

比较
Amazon EFS
Amazon S3
类别

存储、文件存储

存储，对象存储
说明

无服务器，完全弹性文件存储

适用于 AI、分析和存档的几乎无限的安全对象存储
最适用于
  • 内容管理
  • Web 服务
  • 主目录
  • 机器学习
  • 容器存储
  • 数据湖
  • 备份和还原
  • 静态网站托管
  • 存档
  • 大数据分析
主要功能
  • 弹性扩展
  • 多可用区
  • 生命周期管理
  • 兼容 NFS
  • 吞吐量模式
  • 11 个 9 的持久性
  • 存储类别
  • 生命周期策略
  • 版本控制
  • S3 Intelligent-Tiering
定价模式

按存储的 GB 付费；无需预置

按存储的每 GB 数据 + 请求 + 数据传输付费
免费套餐

是

是
专家点评

“当多个 EC2 实例或容器需要对同一个文件系统进行并行读/写访问时，EFS 就是解决方案。它会自动增长和收缩，因此您永远不必预置容量或担心耗尽空间。”
— Didier Durand，re:Post 顶级贡献者 [个人资料]

“S3 提供了 11 个 9 的持久性，并且可以无限制地扩展。它可以作为数据湖、备份管道和机器学习训练数据的基础，因为您可以以任何规模存储任何东西，并以细粒度的权限从任何地方访问它。”
— Riku Kobayashi，re:Post 顶级贡献者 [个人资料]
产品页面

了解有关 Amazon EFS 的更多信息 »

了解有关 Amazon S3 的更多信息 »

何时使用 Amazon EFS 或 Amazon S3

在以下情况下使用 Amazon EFS：

  • 内容管理
  • Web 服务
  • 主目录
  • 机器学习
  • 容器存储

了解有关 Amazon EFS 的更多信息 »

在以下情况下使用 Amazon S3：

  • 数据湖
  • 备份和还原
  • 静态网站托管
  • 存档
  • 大数据分析

了解有关 Amazon S3 的更多信息 »

AWS product comparisons

Read about AWS products side-by-side

显示 1 - 8 (21)
2026-07-30

What's the difference between Amazon Aurora and Amazon Neptune?

Both are purpose-built, fully managed AWS databases, but they solve fundamentally different problems. Aurora handles structured relational data with SQL; Neptune handles highly connected data where relationships between entities are the primary query pattern.
Learn more
2026-07-30

What's the difference between Amazon RDS and Amazon Redshift?

Both run SQL queries, but they're optimized for fundamentally different workloads. RDS handles transactional operations (inserts, updates, lookups) for your application. Redshift handles analytical queries (aggregations, scans, joins across billions of rows) for your data team.
Learn more
2026-07-30

What's the difference between Amazon Aurora and Amazon DynamoDB?

Both are fully managed AWS database services, but they serve fundamentally different data models and access patterns. Aurora is a relational database for structured data with relationships; DynamoDB is a NoSQL key-value store built for single-digit millisecond performance at any scale.
Learn more
2026-07-30

What's the difference between Amazon DocumentDB and Amazon Neptune?

Both handle semi-structured data, but they're optimized for different query patterns. DocumentDB stores and queries JSON documents; Neptune stores and traverses relationships between entities.
Learn more
2026-07-30

What are the differences between Amazon DynamoDB and Amazon DocumentDB?

Both are fully managed NoSQL databases on AWS, but they serve different data models. DynamoDB is a key-value store optimized for known access patterns at massive scale; DocumentDB is a document database for flexible JSON schemas with MongoDB compatibility.
Learn more
2026-07-30

What's the difference between Amazon DynamoDB and Amazon Keyspaces?

Both are fully managed, serverless-capable NoSQL databases on AWS. DynamoDB is AWS-native with its own API and data model; Keyspaces is Apache Cassandra-compatible, letting you use existing Cassandra drivers, tools, and expertise.
Learn more
2026-07-30

What's the difference between Amazon ElastiCache and Amazon MemoryDB?

Both are Redis-compatible, fully managed in-memory services on AWS. ElastiCache is designed as a caching layer in front of another database; MemoryDB is designed as a primary database that combines in-memory speed with Multi-AZ durability.
Learn more
2026-07-30

What's the difference between Amazon Aurora and Amazon RDS?

Both are fully managed relational database services on AWS, but Aurora is a cloud-native engine built for higher performance and availability, while RDS gives you familiar open-source and commercial engines with less operational overhead than self-managed.
Learn more

Did you find what you were looking for today?

Let us know so we can improve the quality of the content on our pages