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AWS Glue DataBrew 和 Glue Elastic Views 有什么区别？

并排比较 AWS Glue DataBrew 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 DataBrew
Glue Elastic Views
类别

分析、数据准备

分析、数据集成/ETL
说明

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。

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

按每个 DataBrew 会话 + 节点小时数付费

复制按 vCPU 小时付费
免费套餐

是

—
专家点评

“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]

“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 DataBrew 的更多信息 »

了解有关 Glue Elastic Views 的更多信息 »

何时使用 AWS Glue DataBrew 或 Glue Elastic Views

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 »

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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