Amazon Redshift
Variance
Integrate your Amazon Redshift Data Warehouse with Variance
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 Variance and all of your other cloud tools.
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Easily integrate Amazon Redshift with Variance using RudderStackRudderStack’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 Variance. 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 Variance and RudderStack
Create leads automaticallyAutomatically create leads in real time in Variance when someone signs up.
Sync account and companiesUpdate Accounts and Companies in Variance with new attributes.
Trigger campaignsTrigger campaigns and workflows in Variance based on user actions.
Frequently Asked Questions
With Rudderstack, integration between Amazon Redshift and Variance is simple. Set up a Amazon Redshift source and start sending data.
Pricing Amazon Redshift and Variance 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 and Variance.
Use the Amazon Redshift integration with other popular destinations
About Variance

Variance is a Customer Growth Platform that enables real-time access to all your customer data and operationalizes your product, marketing, and sales data. It allows you to create, access, and manage intent-based signals across all stages of your customer’s journey.

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.