Google BigQuery
Hotjar
Integrate your Google BigQuery Data Warehouse with Hotjar
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 Hotjar and all of your other cloud tools.
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Easy Google BigQuery to Hotjar integration with 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 Hotjar. 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 Hotjar and RudderStack
Enable real-time dataAutomatically send real-time data to marketing analytics, product analytics and business analytics tools.
Cross-platform trackingTrack the entire user journey across platforms without the technical headache.
Hot-swap analytics toolsSend existing data feeds to new analytics tools with a few clicks.
Frequently Asked Questions
With Rudderstack, integration between Google BigQuery and Hotjar is simple. Set up a Google BigQuery source and start sending data.
Pricing Google BigQuery and Hotjar 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 Hotjar.
Use the Hotjar integration with other popular sources
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RudderStack Google BigQuery DocumentationRefer to our step-by-step guide and start using Google BigQuery today
About Hotjar

Product experience insights tool that gives you and feedback data to help you empathize with and understand your customers

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.