Amazon AppFlow

  • An integration service that automates data flows by securely integrating third-party applications and AWS services without writing any code.


  • Run flows on-demand or on a schedule to keep data in sync across SaaS applications and AWS services.

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  • Aggregate data from multiple sources to train analytics tools more effectively and save money.

  • Use flow management tools to track where and when data has moved.

  • Data is encrypted at rest and in transit.

  • Integrates with AWS PrivateLink to allow private data transfer over AWS rather than public data transfer over the internet.

  • Use custom connectors to transfer data between private APIs, on-premise systems, and cloud services.

  • Publish events related to the status of a flow using Amazon Event Bridge.


  • Connections

    • Provide access to the source and destination to enable data flow.

    • Stores configuration details and credentials to transfer data with applications.

      • Usernames

      • Passwords

      • Secret keys

      • API access tokens

    • In AWS CLI and AppFlow API, connections are called connector profiles.

  • Flows enable data transfer between the source and destination.

  • Data mapping

    • Specifies how data from the source is transferred to the destination.

    • Fields in each source object are mapped to fields in the destination.

    • Multiple fields in a source object are concatenated to a single field in the destination.

    • Mask sensitive field values so that only an asterisk appears in the destination field.

    • Allows you to truncate fields to a specific length.

  • Using filters, you can control which data records are transferred to the destination.

  • Trigger determines how a flow runs.

    • Run on-demand – run this flow every time you want to transfer data.

    • Run on event – for SaaS apps with change events.

    • Run on schedule – runs the flow on a recurring schedule.

      • Full transfer – transfers a snapshot of all records at the time of the flow run.

      • Incremental transfer – only records that have been added or updated since the last successful flow run are transferred.


  • You are charged per flow run and the maximum number of flow runs.

  • You are charged for data processing for flows whose destinations are:

    • Hosted on AWS

    • Integrated with AWS PrivateLink

  • You are charged per standard request and storage to read and write from AWS services.

  • You are charged for the use of AWS KMS CMKs to encrypt access tokens and data in transit.


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