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AWS Data Pipeline 和 AWS Glue DataBrew 有什么区别？

并排比较 AWS Data Pipeline 和 AWS Glue DataBrew — 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 DataBrew
类别

分析、数据集成/ETL

分析、数据准备
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。

可视化数据准备工具，用于清理和规范化数据，而无需编写代码。
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
  • 数据清理
  • 数据标准化
  • 数据概要分析
  • 特征工程
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
  • 250 多种转换
  • 可视化界面
  • 数据概要分析
  • 食谱作业
  • S3/Redshift/RDS 来源
定价模式

按活动和先决条件付费

按每个 DataBrew 会话 + 节点小时数付费
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 DataBrew 通过 250 多个内置转换为数据清理和标准化提供了可视化界面。它会生成概况报告，以重点介绍数据质量问题。”
— Didier Durand，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 DataBrew 的更多信息 »

何时使用 AWS Data Pipeline 或 AWS Glue DataBrew

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 DataBrew：

  • 数据清理
  • 数据标准化
  • 数据概要分析
  • 特征工程

了解有关 AWS Glue DataBrew 的更多信息 »

AWS product comparisons

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What's the difference between Amazon ElastiCache and Amazon MemoryDB?

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

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