Databricks
TikTok Audiences

Integrate your Databricks Data Warehouse with TikTok 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 TikTok Audiences and all of your other cloud tools.

Easy Databricks to TikTok Audiences integration with RudderStack

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

Easily send conversions

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

Track client and server-side

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

Easily send audience data

Send custom audiences from your warehouse to TikTok Audiences.

Frequently Asked Questions

With Rudderstack, integration between Databricks and TikTok Audiences is simple. Set up a Databricks source and start sending data.
Pricing Databricks and TikTok 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 TikTok Audiences.

About TikTok Audiences

TikTok Audiences is a feature that allows advertisers to define and reach specific groups of users based on various parameters such as demographics, interests, and behaviors. Using TikTok Audiences, advertisers can tailor their ad campaigns to target audiences that are more likely to engage with their content, ultimately improving ad performance and reaching the desired users effectively on the TikTok platform.

About Databricks

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