Amazon AppFlow
Automate data flows between software as a service (SaaS) and AWS services
Fully managed integration service to transfer data between services such as Salesforce, SAP, Google Analytics, and Amazon Redshift.
Transfer data at scale without the need to provision system resources.
Automate cataloging your data to discover and share across AWS analytics and machine learning services, such as SageMaker Data Wrangler.
Simplify and automate data preparation with transformations, partitioning, and aggregation.
How it works
![How Amazon AppFlow Works HIW long description: The diagram shows the process of using Amazon AppFlow. Three written steps and four illustrations display from left to right. The first step says, "Source: Ingest data from supported SaaS applications.” The first illustration shows four stacked boxes indicating examples of SaaS applications. The second step says, “Amazon AppFlow, transfer data and opt to enrich it through filters and validations.” The second illustration is the Amazon AppFlow icon that sits in front of six boxes showcasing available filters and validations. The third step is titled, “Destination: Transfer data to supported destinations for processing or storage.” The third illustration is four stacked boxes that highlight potential destinations such as Amazon Redshift, Amazon Simple Storage Service (S3), Snowflake, and Salesforce.](https://d1.awsstatic.com/Product-Page-Diagram_Amazon-AppFlow%402x.33098282417ccb03f591aa71f870c19f63cc16e9.png)
Amazon AppFlow is a fully managed integration service that helps you securely transfer data between software as a service (SaaS) applications such as Salesforce, SAP, Google Analytics, Facebook Ads, and ServiceNow, and AWS services such as Amazon Simple Storage Service (S3) and Amazon Redshift in just a few clicks. Learn how to get started with Amazon AppFlow today.
Amazon AppFlow is a fully managed integration service that helps you securely transfer data between software as a service (SaaS) applications such as Salesforce, SAP, Google Analytics, Facebook Ads, and ServiceNow, and AWS services such as Amazon Simple Storage Service (S3) and Amazon Redshift in just a few clicks. Learn how to get started with Amazon AppFlow today.
Use cases
Customer 360 visibility
Get 360-degree visibility of the customer journey by integrating marketing, customer support, and sales data.
Enrich SaaS data
Enrich SaaS data by ingesting datasets into Amazon SageMaker Data Wrangler, preparing data for ML model training, then operationalizing your data with reverse ETL.
Create event-based workflows
Automate processes in one application based on data from another, such as creating records in Salesforce from new Marketo leads.
Store and analyze Salesforce data
Transfer opportunity records data from Salesforce to an Amazon Redshift table to update your dashboards in real time.
How to get started
Learn more in documentation
Gain a deeper understanding of Amazon AppFlow with the User Guide.