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Amazon DataZone 和 AWS Lake Formation 有什么区别？

并排比较 Amazon DataZone 和 AWS Lake Formation — 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
Amazon DataZone
AWS Lake Formation
类别

分析、数据治理

分析、数据湖
说明

数据管理服务，用于跨组织边界为数据编制目录、发现、共享和治理数据。

在数天内构建、保护和管理数据湖，而非数个月。
最适用于
  • 数据编录
  • 数据共享
  • 数据治理
  • 自助服务分析
  • 数据湖创建
  • 数据治理
  • 对访问权限的精细控制
  • 跨账户数据共享
主要功能
  • 业务数据目录
  • 数据门户
  • 自动元数据
  • 访问管理
  • 数据质量
  • 蓝图
  • 数据目录集成
  • 行/列安全
  • 基于标签的访问控制
  • 跨账户共享
定价模式

按活跃用户 + 存储的元数据付费

不收取额外费用；支付基础服务费用
免费套餐

否

是
专家点评

“DataZone 是一项数据治理服务，用于通过内置访问控制和业务编目功能跨组织边界发布、发现和共享数据。”
— Oleksii Bebych, re:Post 顶级贡献者 [个人资料]

“Lake Formation 通过在 Athena、Redshift Spectrum 和 EMR 上提供精细的列级和行级访问控制，简化数据湖的安全。”
— Gary McLean，re:Post 杰出贡献者 [个人资料]
产品页面

了解有关 Amazon DataZone 的更多信息 »

了解有关 AWS Lake Formation 的更多信息 »

何时使用 Amazon DataZone 或 AWS Lake Formation

在以下情况下使用 Amazon DataZone：

  • 数据编录
  • 数据共享
  • 数据治理
  • 自助服务分析

了解有关 Amazon DataZone 的更多信息 »

在以下情况下使用 AWS Lake Formation：

  • 数据湖创建
  • 数据治理
  • 对访问权限的精细控制
  • 跨账户数据共享

了解有关 AWS Lake Formation 的更多信息 »

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