跳至主要内容

AWS Outposts 和 AWS Outposts 机架有什么区别？

并排比较 AWS Outposts 和 AWS Outposts 机架 — 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
AWS Outposts
AWS Outposts 机架
类别

计算、混合

计算、混合
说明

适用于本地和边缘工作负载的完全托管式解决方案

完全托管式 42U 机架，配备 AWS 计算、存储和联网，用于本地部署。
最适用于
  • 低延迟工作负载
  • 本地数据处理
  • 数据驻留
  • 混合应用程序
  • AWS 本地部署
  • 数据驻留
  • 低延迟处理
  • 本地数据处理
主要功能
  • 完全托管
  • 本地 AWS API
  • 本地计算和存储
  • 一致的混合体验
  • 多种外形规格
  • 完整的 42U 机架
  • EC2 实例
  • EBS 卷
  • S3 on Outposts
  • ECS/EKS 支持
定价模式

完全托管；3 年期定价

3 年期；全包价格
免费套餐

否

否
专家点评

“Outposts 适用于由于延迟或数据驻留限制而必须留在本地但仍需要相同的 AWS API 和工具的工作负载。将它看作是将 VPC 扩展到数据中心，而不是构建一个单独的环境。”
— Riku Kobayashi，re:Post 顶级贡献者 [个人资料]

“Outposts 机架为您的数据中心提供完整的 AWS 机架基础设施。它使用与该区域相同的 API 在本地支持 EC2、EBS、S3、EKS、ECS 和 RDS。”
— Oleksii Bebych, re:Post 顶级贡献者 [个人资料]
产品页面

了解有关 AWS Outposts 的更多信息 »

了解有关 AWS Outposts 机架的更多信息 »

何时使用 AWS Outposts 或 AWS Outposts 机架

在以下情况下使用 AWS Outposts：

  • 低延迟工作负载
  • 本地数据处理
  • 数据驻留
  • 混合应用程序

了解有关 AWS Outposts 的更多信息 »

在以下情况下使用 AWS Outposts 机架：

  • AWS 本地部署
  • 数据驻留
  • 低延迟处理
  • 本地数据处理

了解有关 AWS Outposts 机架的更多信息 »

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