跳至主要内容

Amazon EKS 和 AWS Fargate 有什么区别？

并排比较 Amazon EKS 和 AWS Fargate — 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 EKS
AWS Fargate
类别

容器、Kubernetes

容器、无服务器容器
说明

用于运行容器化应用程序的托管式 Kubernetes 服务

适用于容器的无服务器计算。无需管理服务器或群集即可运行容器。
最适用于
  • Kubernetes 工作负载
  • 混合部署
  • 机器学习
  • 批处理
  • 微服务
  • 批处理
  • ML 推理
  • 应用程序迁移
主要功能
  • 托管的控制平面
  • EKS Anywhere
  • Fargate 支持
  • 附加组件市场
  • 自动模式
  • 无服务器管理
  • 内置隔离设计
  • 兼容 ECS 和 EKS
  • 竞价型容量
  • ARM 支持
定价模式

每个集群 0.10 美元/小时 + 基础计算

按每秒 vCPU 和内存付费
免费套餐

否

否
专家点评

“EKS 是生产级的 Kubernetes，无需承担运维它所需的那些没有差异化价值的繁重工作。从自动模式处理计算生命周期到提供托管 Argo CD 和资源编排的 EKS 功能，团队可以获得完整的 Kubernetes 生态系统，以及底层 AWS 的可靠性和规模”
— AWS 产品营销经理 Aditya Ramakrishnan 

“Fargate 消除了为您的容器管理 EC2 实例的需求。当您需要对每个任务进行隔离时，可以选择它，而不必担心修补主机、适当调整节点大小或进行资源装箱。您只需为每个任务使用的 vCPU 和内存按秒付费。”
— Didier Durand，re:Post 顶级贡献者 [个人资料]
产品页面

了解有关 Amazon EKS 的更多信息 »

了解有关 AWS Fargate 的更多信息 »

何时使用 Amazon EKS 或 AWS Fargate

在以下情况下使用 Amazon EKS：

  • Kubernetes 工作负载
  • 混合部署
  • 机器学习
  • 批处理

了解有关 Amazon EKS 的更多信息 »

在以下情况下使用 AWS Fargate：

  • 微服务
  • 批处理
  • ML 推理
  • 应用程序迁移

了解有关 AWS Fargate 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