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Google BigQuery
SnapEngage

Integrate your Google BigQuery Data Warehouse with SnapEngage

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 SnapEngage and all of your other cloud tools.

Easy Google BigQuery to SnapEngage 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 SnapEngage. 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 SnapEngage and RudderStack

Create and update users

Automatically create or update user records in SnapEngage

Easily track user behavior

Use existing data to send behavioral events to SnapEngage.

Easily trigger automations

Automatically trigger messaging automations in SnapEngage based on user behaviors.

Frequently Asked Questions

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

Use the SnapEngage integration with other popular sources

About SnapEngage

SnapEngage is an enterprise live chat software used by businesses for customer support and sales.

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.