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Google BigQuery
Tradedesk

Integrate your Google BigQuery Data Warehouse with Tradedesk

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

Easy Google BigQuery to Tradedesk integration with RudderStack

RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Google BigQuery Data Warehouse to track event data and automatically send it to Tradedesk. 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 Tradedesk and RudderStack

Easily send conversions

Send existing events to Tradedesk as conversions with no additional code.

Track client and server-side

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

Easily send audience data

Send custom audiences from your warehouse to Tradedesk.

Frequently Asked Questions

With Rudderstack, integration between Google BigQuery and Tradedesk is simple. Set up a Google BigQuery source and start sending data.
Pricing Google BigQuery and Tradedesk 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 Google BigQuery and Tradedesk.

Use the Google BigQuery integration with other popular destinations

About Tradedesk

The Trade Desk is a leading digital advertising technology platform for efficient campaign management. It offers comprehensive tools to target audiences across diverse channels like video, mobile, and display. RudderStack supports TradeDesk as a destination to which you can seamlessly send your customer data.

About Google BigQuery

Google BigQuery is a fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. It is serverless, highly scalable, and cost-effective and is designed for businesses to analyze massive datasets and make informed business decisions. Google BigQuery also allows running complex analytical SQL-based queries using built-in machine learning capabilities.