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OneTrust (Source)
Amazon Personalize

Integrate OneTrust (Source) with Amazon Personalize

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

Easy OneTrust (Source) to Amazon Personalize integration with RudderStack

RudderStack’s open source OneTrust (Source) integration allows you to integrate RudderStack with your OneTrust (Source) to track event data and automatically send it to Amazon Personalize. With the RudderStack OneTrust (Source) 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 Personalize and RudderStack

Frequently Asked Questions

With Rudderstack, integration between OneTrust (Source) and Amazon Personalize is simple. Set up a OneTrust (Source) source and start sending data.
Pricing OneTrust (Source) and Amazon Personalize 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 OneTrust (Source) and Amazon Personalize.

Use the Amazon Personalize integration with other popular sources

About Amazon Personalize

AWS Personalize is a machine learning service by Amazon Web Services. It enables you to create high-quality content recommendations, personalized product and marketing promotions, and much more. With AWS Personalize, you can boost your customer engagement and overall business revenue.

About OneTrust (Source)

OneTrust is a popular consent management platform that provides data governance, privacy management, and security solutions to thousands of businesses worldwide. OneTrust simplifies the collection, centralization, and governance of consented first-party data while prioritizing transparency. Their integration with RudderStack ensures compliant activation of data.