跳至主要内容

Amazon AppFlow 和 Glue Elastic Views 有什么区别？

并排比较 Amazon AppFlow 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
Amazon AppFlow
Glue Elastic Views
类别

分析、数据集成

分析、数据集成/ETL
说明

SaaS 应用程序与 AWS 服务的无代码集成

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
  • SaaS 数据摄取
  • 数据同步
  • CRM 集成
  • 分析管道
  • 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
  • 无代码接口
  • 数据转换
  • 传输中加密
  • 计划和事件驱动的流程
  • 多个 SaaS 连接器
  • 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

按每次流运行 + 处理的数据量计费

复制按 vCPU 小时付费
免费套餐

否

—
专家点评

“AppFlow 无需编写代码即可在 SaaS 应用程序和 AWS 之间传输数据。它支持 50 多个来源，包括 Salesforce、SAP 和 Google Analytics，并具有内置数据转换。”
— Gary McLean，re:Post 杰出贡献者 [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 Amazon AppFlow 的更多信息 »

了解有关 Glue Elastic Views 的更多信息 »

何时使用 Amazon AppFlow 或 Glue Elastic Views

在以下情况下使用 Amazon AppFlow：

  • SaaS 数据摄取
  • 数据同步
  • CRM 集成
  • 分析管道

了解有关 Amazon AppFlow 的更多信息 »

在以下情况下使用 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 »

AWS product comparisons

Read about AWS products side-by-side

显示 1 - 8 (21)
2026-07-30

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

Both are purpose-built, fully managed AWS databases, but they solve fundamentally different problems. Aurora handles structured relational data with SQL; Neptune handles highly connected data where relationships between entities are the primary query pattern.
Learn more
2026-07-30

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

Both run SQL queries, but they're optimized for fundamentally different workloads. RDS handles transactional operations (inserts, updates, lookups) for your application. Redshift handles analytical queries (aggregations, scans, joins across billions of rows) for your data team.
Learn more
2026-07-30

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

Both are fully managed AWS database services, but they serve fundamentally different data models and access patterns. Aurora is a relational database for structured data with relationships; DynamoDB is a NoSQL key-value store built for single-digit millisecond performance at any scale.
Learn more
2026-07-30

What's the difference between Amazon DocumentDB and Amazon Neptune?

Both handle semi-structured data, but they're optimized for different query patterns. DocumentDB stores and queries JSON documents; Neptune stores and traverses relationships between entities.
Learn more
2026-07-30

What are the differences between Amazon DynamoDB and Amazon DocumentDB?

Both are fully managed NoSQL databases on AWS, but they serve different data models. DynamoDB is a key-value store optimized for known access patterns at massive scale; DocumentDB is a document database for flexible JSON schemas with MongoDB compatibility.
Learn more
2026-07-30

What's the difference between Amazon DynamoDB and Amazon Keyspaces?

Both are fully managed, serverless-capable NoSQL databases on AWS. DynamoDB is AWS-native with its own API and data model; Keyspaces is Apache Cassandra-compatible, letting you use existing Cassandra drivers, tools, and expertise.
Learn more
2026-07-30

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

Both are Redis-compatible, fully managed in-memory services on AWS. ElastiCache is designed as a caching layer in front of another database; MemoryDB is designed as a primary database that combines in-memory speed with Multi-AZ durability.
Learn more
2026-07-30

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

Both are fully managed relational database services on AWS, but Aurora is a cloud-native engine built for higher performance and availability, while RDS gives you familiar open-source and commercial engines with less operational overhead than self-managed.
Learn more

Did you find what you were looking for today?

Let us know so we can improve the quality of the content on our pages