You can use AppFlow to set up data flows without coding. A point and click user interface enables you to select your data sources and destinations, configure optional transformations and validations, and run your flow.
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AppFlow enables you to run data flows to do bulk transfers or tests, set up a routine schedule, or run flows in response to business events.
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AppFlow includes integration with the Software-as-a-Service (SaaS) applications used for business operations.
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You use the AppFlow interface to map source and destination fields together through bulk mapping, or map each field one at a time. For data flows with a large number of fields, you can also upload a csv file to map many fields.
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High scale data transfer
Amazon AppFlow enables you to transfer records, leads or tickets - all while running a single flow.
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AppFlow enables you to perform data transformations like mapping, merging, masking, filtering, and validation as part of the flow itself. For example, you can validate that data is in the right numeric format, merge first and last names, or mask credit card details.
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AWS PrivateLink reduces the exposure of data to the public Internet. For SaaS applications that have PrivateLink enabled, AppFlow creates and configures private endpoints so you can keep your data private.
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Data flowing through AppFlow is encrypted at rest and in transit, and you can encrypt data with AWS keys, or bring your own custom keys.
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With AppFlow, you can use your existing AWS identity and access management (IAM) policies to enforce permissions and keep access consistent across your organization. With IAM policies, application administrators can create and manage data flows.
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Amazon AppFlow is built to prevent single points of failure. Amazon AppFlow takes advantage of AWS scaling, monitoring, auditing, and billing features.
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For additional information about service controls, security features and functionalities, including, as applicable, information about storing, retrieving, modifying, restricting, and deleting data, please see https://docs.aws.amazon.com/index.html. This additional information does not form part of the Documentation for purposes of the AWS Customer Agreement available at http://aws.amazon.com/agreement, or other agreement between you and AWS governing your use of AWS’s services."},"metadata":{"tags":[]}},{"fields":{"patternHeading":"Amazon AppFlow Documentation","patternBoolean2":"false","id":"ams#rt-rich-textc12#pattern-data"},"metadata":{"tags":[{"name":"pattern-data","description":"Default pattern data","id":"ams#rt-rich-textc12#pattern-data","namespaceId":"rt-rich-text"}]}}]},"metadata":{"auth":{},"testAttributes":{}},"context":{"page":{"pageUrl":"https://aws.amazon.com/documentation-overview/appflow/"},"contentType":"page","environment":{"stage":"prod","region":"us-west-2"},"sdkVersion":"2.0.26"},"refMap":{"manifest.js":"cda3e8d042","rt-rich-text.rtl.css":"42944d6d65","rt-rich-text.css":"a13e2733c8","rt-rich-text.css.js":"3f7a668deb","rt-rich-text.js":"d267c8db13","rt-rich-text.rtl.css.js":"ac23e9ea14"},"settings":{"templateMappings":{"patternHeading":"patternHeading","patternSubheading":"patternSubheading","patternDark":"patternBoolean2","title":"itemHeading","bodyText":"itemLongLoc"}}}
You can use AppFlow to set up data flows without coding. A point and click user interface enables you to select your data sources and destinations, configure optional transformations and validations, and run your flow.
AppFlow enables you to run data flows to do bulk transfers or tests, set up a routine schedule, or run flows in response to business events.
AppFlow includes integration with the Software-as-a-Service (SaaS) applications used for business operations.
You use the AppFlow interface to map source and destination fields together through bulk mapping, or map each field one at a time. For data flows with a large number of fields, you can also upload a csv file to map many fields.
High scale data transfer
AppFlow enables you to perform data transformations like mapping, merging, masking, filtering, and validation as part of the flow itself. For example, you can validate that data is in the right numeric format, merge first and last names, or mask credit card details.
AWS PrivateLink reduces the exposure of data to the public Internet. For SaaS applications that have PrivateLink enabled, AppFlow creates and configures private endpoints so you can keep your data private.
Data flowing through AppFlow is encrypted at rest and in transit, and you can encrypt data with AWS keys, or bring your own custom keys.
With AppFlow, you can use your existing AWS identity and access management (IAM) policies to enforce permissions and keep access consistent across your organization. With IAM policies, application administrators can create and manage data flows.
Amazon AppFlow is built to prevent single points of failure. Amazon AppFlow takes advantage of AWS scaling, monitoring, auditing, and billing features.
For additional information about service controls, security features and functionalities, including, as applicable, information about storing, retrieving, modifying, restricting, and deleting data, please see https://docs.aws.amazon.com/index.html. This additional information does not form part of the Documentation for purposes of the AWS Customer Agreement available at http://aws.amazon.com/agreement, or other agreement between you and AWS governing your use of AWS’s services.Amazon AppFlow Documentation
Point and click user interface
Flexible data flow triggers
Native SaaS integrations
Field mapping
Scalable
Amazon AppFlow enables you to transfer records, leads or tickets - all while running a single flow.
Enterprise grade data transformations
Data privacy defaults through PrivateLink
Custom encryption keys
IAM policy enforcement
Built in reliability
Additional Information