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AWS Glue 和 Glue Elastic Views 有什么区别？

并排比较 AWS Glue 和 Glue Elastic Views — 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
AWS Glue
Glue Elastic Views
类别

分析、数据集成/ETL

分析、数据集成/ETL
说明

简单、可扩展的无服务器数据集成

构建实体化视图，自动在多个数据存储中合并和复制数据。
最适用于
  • ETL
  • 数据编录
  • 数据准备
  • 数据湖管理
  • 事件驱动型 ETL
  • 跨存储数据复制
  • 实体化视图
  • 数据同步
  • 实时数据访问
主要功能
  • Data Catalog
  • ETL 引擎
  • 爬网程序
  • 作业书签
  • DataBrew
  • 基于 SQL 的视图
  • 自动复制
  • 多个目标存储
  • 变更数据捕获
  • 监控
定价模式

按每 DPU-小时付费

复制按 vCPU 小时付费
免费套餐

是

—
专家点评

“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]

“Glue Elastic Views 会自动在 AWS 数据存储间复制数据。定义一次视图，它会在 DynamoDB、S3、Redshift 或 OpenSearch 中实体化，而不需要 ETL 管道。”
— Didier Durand，re:Post 顶级贡献者 [个人资料]
产品页面

了解有关 AWS Glue 的更多信息 »

了解有关 Glue Elastic Views 的更多信息 »

何时使用 AWS Glue 或 Glue Elastic Views

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 »

在以下情况下使用 AWS Glue Elastic Views：

  • 跨存储数据复制
  • 实体化视图
  • 数据同步
  • 实时数据访问

了解有关 Glue Elastic Views 的更多信息 »

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