Google BigQuery
Google Cloud Functions
Integrate your Google BigQuery Data Warehouse with Google Cloud Functions
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 Google Cloud Functions and all of your other cloud tools.
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Easily integrate Google BigQuery with Google Cloud Functions using RudderStackRudderStack’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 Google Cloud Functions. 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 Google Cloud Functions and RudderStack
Create and update usersAutomatically create and update users in Google Cloud Functions.
Easily track user behaviorSend behavioral data directly to Google Cloud Functions.
Easily track pageview dataRoute existing pageview data to Google Cloud Functions.
Frequently Asked Questions
With Rudderstack, integration between Google BigQuery and Google Cloud Functions is simple. Set up a Google BigQuery source and start sending data.
Pricing Google BigQuery and Google Cloud Functions 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 Google Cloud Functions.
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About Google Cloud Functions

Google Cloud Functions is an easy way to run your code in the cloud. With Cloud Functions, there are no servers to provision, manage, patch, or update. Functions automatically scale and are highly available and fault-tolerant. Cloud Functions is great for building serverless backends, doing real-time data processing, and creating intelligent apps.

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.