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Amazon EMR 和 Amazon Redshift 有什么区别？

并排比较 Amazon EMR 和 Amazon Redshift — 功能、定价和理想使用场景，以帮助您选择合适的产品。

并排比较

比较
Amazon EMR
Amazon Redshift
类别

分析、大数据处理

分析、数据仓库
说明

轻松运行大数据框架

便捷、简易且经济高效的数据仓库
最适用于
  • 大数据处理
  • 机器学习
  • ETL
  • 点击流分析
  • 基因组学
  • 数据仓库
  • 商业智能
  • 日志分析
  • 大数据分析
主要功能
  • Apache Spark
  • Apache Hive
  • Presto
  • EMR Serverless
  • EKS 上的 EMR
  • 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

按实例小时 + EBS 存储付费

按需、预留或无服务器
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]

“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

了解有关 Amazon EMR 的更多信息 »

了解有关 Amazon Redshift 的更多信息 »

何时使用 Amazon EMR 或 Amazon Redshift

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 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 »

AWS product comparisons

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显示 1 - 8 (21)
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What's the difference between Amazon Aurora and Amazon Neptune?

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What's the difference between Amazon RDS and Amazon Redshift?

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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.
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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.
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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.
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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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