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

With Amazon AppFlow automate bi-directional data flows between SaaS applications and AWS services in just a few clicks. Run the data flows at the frequency you choose, whether on a schedule, in response to a business event, or on demand. Simplify data preparation with transformations, partitioning, and aggregation. Automate preparation and registration of your schema with the AWS Glue Data Catalog so you can discover and share data with AWS analytics and machine learning services.
What is Amazon AppFlow? (1:24)
Why Amazon AppFlow?

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.

Why Amazon AppFlow?

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

Check out the product features

Discover more about Amazon AppFlow features.

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Learn more in documentation

Gain a deeper understanding of Amazon AppFlow with the User Guide.

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Start using Amazon AppFlow

Start integrating in the AWS Management Console.

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