跳至主要内容

AWS Resource Groups 和 AWS Service Quotas 有什么区别？

并排比较 AWS Resource Groups 和 AWS Service Quotas — 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 Resource Groups
AWS Service Quotas
类别

管理与治理、资源组织

管理与治理、限制
说明

将 AWS 资源组织到各组中，以便进行管理、监控和自动化。

从一个中心位置查看和管理您的 AWS 服务的配额。
最适用于
  • 资源组织
  • 批量操作
  • 成本分配
  • 自动化定位
  • 配额管理
  • 限制监控
  • 增加配额请求
  • 多账户配额跟踪
主要功能
  • 基于标签的组
  • 基于 CloudFormation 的组
  • 标签编辑器
  • 洞察
  • 自动化集成
  • 中央控制面板
  • CloudWatch 警报
  • 配额请求历史记录
  • 全组织范围的视图
  • API 访问权限
定价模式

无额外费用

无额外费用
免费套餐

是

是
专家点评

“Resource Groups 允许您使用标签按应用程序、环境或项目组织资源。将它们与 CloudWatch 控制面板和自动化运行手册一起使用，进行操作分组。”
— Riku Kobayashi，re:Post 顶级贡献者 [个人资料]

“服务配额提供了所有 AWS 服务限制的集中视图。请求配额以编程方式增加，并在达到容量限制之前设置 CloudWatch 警报。”
— Gary McLean，re:Post 杰出贡献者 [个人资料]
产品页面

了解有关 AWS Resource Groups 的更多信息 »

了解有关 AWS Service Quotas 的更多信息 »

何时使用 AWS Resource Groups 或 AWS Service Quotas

在以下情况下使用 AWS Resource Groups：

  • 资源组织
  • 批量操作
  • 成本分配
  • 自动化定位

了解有关 AWS Resource Groups 的更多信息 »

在以下情况下使用 AWS Service Quotas：

  • 配额管理
  • 限制监控
  • 增加配额请求
  • 多账户配额跟踪

了解有关 AWS Service Quotas 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