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PipeDream
Amazon S3

Integrate PipeDream with Amazon S3

Don't go through the pain of direct integration. RudderStack’s PipeDream integration makes it easy to send data from PipeDream to Amazon S3 and all of your other cloud tools.

Easy PipeDream to Amazon S3 integration with RudderStack

RudderStack’s open source PipeDream integration allows you to integrate RudderStack with your PipeDream to track event data and automatically send it to Amazon S3. With the RudderStack PipeDream integration, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.

Popular ways to use Amazon S3 and RudderStack
Easily trigger automations

Automatically trigger automations in Amazon S3 with data from RudderStack.

Send rich metadata

Use existing data as part of Amazon S3 automations.

Enable custom logic

Use existing data to drive custom logic in Amazon S3.

Frequently Asked Questions
With Rudderstack, integration between PipeDream and Amazon S3 is simple. Set up a PipeDream source and start sending data.
Pricing PipeDream and Amazon S3 can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
Timing can vary based on your tech stack and the complexity of your data needs for PipeDream and Amazon S3.
Use the Amazon S3 integration with other popular sources
About Amazon S3

Amazon S3 (Simple Storage Service) is a cloud-based object storage service that allows customers and businesses to store their data securely, and at scale. With an easy to use interface and management features, S3 allows for effortless organizing of data to meet the business-specific requirements.

About PipeDream

Pipedream lets you automate pre-built actions that connect APIs. If a pre-built source is not available for your use case, you can build your own. PipeDream supports open source triggers and actions for hundreds of integrations. It allows you to connect applications, APIs, and event sources in order to run workflows.