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Amazon EMR 和 AWS Glue 有什么不同？

并排比较 Amazon EMR 和 AWS Glue — 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 EMR
AWS Glue
类别

分析、大数据处理

分析、数据集成/ETL
说明

轻松运行大数据框架

简单、可扩展的无服务器数据集成
最适用于
  • 大数据处理
  • 机器学习
  • ETL
  • 点击流分析
  • 基因组学
  • ETL
  • 数据编录
  • 数据准备
  • 数据湖管理
  • 事件驱动型 ETL
主要功能
  • Apache Spark
  • Apache Hive
  • Presto
  • EMR Serverless
  • EKS 上的 EMR
  • Data Catalog
  • ETL 引擎
  • 爬网程序
  • 作业书签
  • DataBrew
定价模式

按实例小时 + EBS 存储付费

按每 DPU-小时付费
免费套餐

否

是
专家点评

“EMR 是已经投资于 Spark、Hive 或 Presto 的团队的首选。EMR Serverless 完全取消了集群规模决策；您可以提交作业并按 vCPU 秒付费。对于那些只需要 SQL 而不需要 Spark 专业知识的团队来说，Athena 或 Redshift 是更简单的途径。”
— Didier Durand，re:Post 顶级贡献者 [个人资料]

“Glue Data Catalog 是 Athena、Redshift Spectrum 和 EMR 的元数据支柱；它告诉这些服务数据的存放位置及数据的结构。ETL 引擎在后台运行 Spark，但具有无服务器扩展功能。使用爬网程序自动发现 S3 中的架构和分区。”
— Giovanni Lauria，re:Post 顶级贡献者 [个人资料]
产品页面

了解有关 Amazon EMR 的更多信息 »

了解有关 AWS Glue 的更多信息 »

何时使用 Amazon EMR 或 AWS Glue

在以下情况下使用 Amazon EMR：

  • 大数据处理
  • 机器学习
  • ETL
  • 点击流分析
  • 基因组学

了解有关 Amazon EMR 的更多信息 »

在以下情况下使用 AWS Glue：

  • ETL
  • 数据编录
  • 数据准备
  • 数据湖管理
  • 事件驱动型 ETL

了解有关 AWS Glue 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.
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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.
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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.
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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

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