跳至主要内容

Amazon S3 和 Amazon S3 Glacier 有什么区别？

并排比较 Amazon S3 和 Amazon S3 Glacier — 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 S3
Amazon S3 Glacier
类别

存储，对象存储

存储、存档
说明

适用于 AI、分析和存档的几乎无限的安全对象存储

用于数据归档和长期备份的低成本云存储，具有从几分钟到几小时的检索选项。
最适用于
  • 数据湖
  • 备份和还原
  • 静态网站托管
  • 存档
  • 大数据分析
  • 数据存档
  • 合规存档
  • 媒体资产保留
  • 长期备份
主要功能
  • 11 个 9 的持久性
  • 存储类别
  • 生命周期策略
  • 版本控制
  • S3 Intelligent-Tiering
  • Glacier Instant Retrieval
  • Glacier Flexible Retrieval
  • Glacier Deep Archive
  • 文件库锁定
  • S3 生命周期集成
定价模式

按存储的每 GB 数据 + 请求 + 数据传输付费

起价 0.0036美元/GB/月
免费套餐

是

否
专家点评

“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]

“Glacier 用于存储您需要保留但很少访问的数据。每月 0.00099 美元/GB 的深层存档是云中最低的存储成本。将其与 S3 生命周期规则配对，在设定的时间段后自动将对象从标准转换到 Glacier。”
— Gary McLean，re:Post 杰出贡献者 [个人资料]
产品页面

了解有关 Amazon S3 的更多信息 »

了解有关 Amazon S3 Glacier 的更多信息 »

何时使用 Amazon S3 或 Amazon S3 Glacier

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 »

在以下情况下使用 Amazon S3 Glacier：

  • 数据存档
  • 合规存档
  • 媒体资产保留
  • 长期备份

了解有关 Amazon S3 Glacier 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