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AWS Data Pipeline 和 Glue Elastic Views 有什么区别？

并排比较 AWS Data Pipeline 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 Data Pipeline
Glue Elastic Views
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。

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
  • 计划的数据移动
  • ETL 工作流程
  • 跨区域数据复制
  • 数据备份
  • 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
  • 调度
  • 重试逻辑
  • 依赖关系跟踪
  • 本地支持
  • 多个数据来源
  • 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

按活动和先决条件付费

复制按 vCPU 小时付费
专家点评

“AWS Data Pipeline 按计划编排 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]

“AWS 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 Data Pipeline 的更多信息 »

了解有关 AWS Glue Elastic Views 的更多信息 »

何时使用 AWS Data Pipeline 或 AWS Glue Elastic Views

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 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 AWS Glue Elastic Views 的更多信息 »

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