Integrate your Amazon Redshift Data Warehouse with Braze
Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Amazon Redshift Data Warehouse to Braze and all of your other cloud tools.
Easy Amazon Redshift to Braze integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Amazon Redshift Data Warehouse to track event data and automatically send it to Braze. With the RudderStack Reverse ETL connection, 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 Braze and RudderStack
Automatically create user records in real time in Braze
Use existing data to trigger email, SMS, mobile, and personalization campaigns based on user actions.
Automatically enroll users in journeys based on behaviors and user traits.
Frequently Asked Questions
With Rudderstack, integration between Amazon Redshift source and Braze is simple. Set up a Amazon Redshift source source and start sending data.
Pricing Amazon Redshift source and Braze 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 Amazon Redshift source and Braze.
Yes, RudderStack streamlines the integration and management of your connection between Amazon Redshift & Braze, but you check out our guide on How To Send Data From Your Python App to Braze to learn how to connect the tools manually.
About Braze
Braze is a customer engagement platform that helps you better understand your customers' in-app behavior and use the insights to improve your users' app experience.
About Amazon Redshift
Amazon Redshift is the world's fastest cloud data warehouse. It allows you to handle large analytical workloads with best-in-class performance, speed, and efficiency. With Redshift, you don't have to worry about the scale of your data or the cost of running queries on them.
