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Amazon Athena 和 Amazon Redshift 有什么区别？

并排比较 Amazon Athena 和 Amazon Redshift — 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 Redshift
类别

分析、查询和交互式分析

分析、数据仓库
说明

使用 SQL 在 S3 中查询数据的服务

便捷、简易且经济高效的数据仓库
最适用于
  • 临时查询
  • 日志分析
  • 数据湖分析
  • 商业智能
  • 数据仓库
  • 商业智能
  • 日志分析
  • 大数据分析
主要功能
  • 无服务器
  • 标准 SQL
  • 联合查询
  • ACID 事务
  • Apache Spark 集成
  • 列式存储
  • 大规模并行处理
  • Redshift 无服务器
  • 数据共享
  • 机器学习集成
定价模式

按查询付费（按扫描的每 TB 数据量）

按需、预留或无服务器
免费套餐

是

是
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]

“Redshift 针对分析工作负载进行了优化；它使用列式存储和大规模并行处理，以在几秒钟内扫描数 TB 数据。当您的查询涉及聚合、跨大型表的联接以及为控制面板和报告提供支持的复杂计算时，请使用它。”
— 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 Redshift 的更多信息 »

何时使用 Amazon Athena 或 Amazon Redshift

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 Redshift：

  • 数据仓库
  • 商业智能
  • 日志分析
  • 大数据分析

了解有关 Amazon Redshift 的更多信息 »

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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.
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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.
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