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Databricks Snap Custom Audiences

Integrate your Databricks Data Warehouse with Snap Custom Audiences

Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Databricks Data Warehouse to Snap Custom Audiences and all of your other cloud tools.

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Easy Databricks to Snap Custom Audiences integration with RudderStack

RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your Databricks Data Warehouse to track event data and automatically send it to Snap Custom Audiences. 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 Snap Custom Audiences
Easily send conversions

Send existing events to Snap Custom Audiences as conversions with no additional code.

Track client and server-side

Manage client-side and server-side conversions for Snap Custom Audiences with a few clicks.

Easily send audience data

Send custom audiences from your warehouse to Snap Custom Audiences.

Frequently Asked Questions
With Rudderstack, integration between Databricks and Snap Custom Audiences is simple. Set up a Databricks source and start sending data.
Pricing Databricks and Snap Custom Audiences 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 Databricks and Snap Custom Audiences.

RudderStack Databricks Documentation

Refer to our step-by-step guide and start using Databricks today

About Snap Custom Audiences

Snapchat Custom Audiences matches first-party data from your Snapchat customer list (email, phone number, or mobile advertiser ID) with Snapchat users. It allows you to target specific Snapchatters based on unique demographics from your business, product, or service.

About Databricks

Storage layer that offers reliability and security on your data lake for streaming and batch operations