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Amazon Athena 和 Amazon EMR 有什么区别？

并排比较 Amazon Athena 和 Amazon EMR — 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 Athena
Amazon EMR
类别

分析、查询和交互式分析

分析、大数据处理
说明

使用 SQL 在 S3 中查询数据的服务

轻松运行大数据框架
最适用于
  • 临时查询
  • 日志分析
  • 数据湖分析
  • 商业智能
  • 大数据处理
  • 机器学习
  • ETL
  • 点击流分析
  • 基因组学
主要功能
  • 无服务器
  • 标准 SQL
  • 联合查询
  • ACID 事务
  • Apache Spark 集成
  • Apache Spark
  • Apache Hive
  • Presto
  • EMR Serverless
  • EKS 上的 EMR
定价模式

按查询付费（按扫描的每 TB 数据量）

按实例小时 + EBS 存储付费
免费套餐

是

否
专家点评

“Athena 是在没有任何基础设施的情况下在 S3 中查询数据的最快路径。按日期或键列对数据进行分区，并使用像 Parquet 这样的列格式来大幅减少扫描量和成本。对于相同数据的重复查询，Redshift 将更具成本效益。”
— Riku Kobayashi，re:Post 顶级贡献者 [个人资料]

“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]
产品页面

详细了解 Amazon Athena »

了解有关 Amazon EMR 的更多信息 »

何时使用 Amazon Athena 或 Amazon EMR

在以下情况下使用 Amazon Athena：

  • 临时查询
  • 日志分析
  • 数据湖分析
  • 商业智能

详细了解 Amazon Athena »

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 »

AWS product comparisons

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What are the differences between Amazon DynamoDB and Amazon DocumentDB?

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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
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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
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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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