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AWS Data Pipeline 和 AWS Glue 有什么区别？

并排比较 AWS Data Pipeline 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
AWS Data Pipeline
AWS Glue
类别

分析、数据集成/ETL

分析、数据集成/ETL
说明

按计划在不同的 AWS 计算和存储服务之间处理和移动数据。

简单、可扩展的无服务器数据集成
最适用于
  • 计划的数据移动
  • ETL 工作流程
  • 跨区域数据复制
  • 数据备份
  • ETL
  • 数据编录
  • 数据准备
  • 数据湖管理
  • 事件驱动型 ETL
主要功能
  • 调度
  • 重试逻辑
  • 依赖关系跟踪
  • 本地支持
  • 多个数据来源
  • Data Catalog
  • ETL 引擎
  • 爬网程序
  • 作业书签
  • DataBrew
定价模式

按活动和先决条件付费

按每 DPU-小时付费
免费套餐

—

是
专家点评

“Data Pipeline 按计划协调 AWS 服务之间的数据移动。对于新的工作负载，Step Functions 或 Glue 工作流程是更现代的替代方案。”
— Gary McLean，re:Post 杰出贡献者 [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 AWS Data Pipeline 的更多信息 »

了解有关 AWS Glue 的更多信息 »

何时使用 AWS Data Pipeline 或 AWS Glue

在以下情况下使用 AWS Data Pipeline：

  • 计划的数据移动
  • ETL 工作流程
  • 跨区域数据复制
  • 数据备份

了解有关 AWS Data Pipeline 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 »

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