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Integrate your Google BigQuery Data Warehouse with TrackJS
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 TrackJS and all of your other cloud tools.
Easy Google BigQuery to TrackJS 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 TrackJS. 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.
Available via webhook
Send event data to TrackJS by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the TrackJS API. Once enabled, RudderStack will forward events to TrackJS (note, this requires leveraging cloud API endpoints for TrackJS ).
Popular ways to use TrackJS and RudderStack
Simplify implementation
Add TrackJS to your app without any custom code.
Track users
Automatically send user and account data and user actions to TrackJS.
Integrate multiple sources
Easily send data from multiple sources to TrackJS to give your product and engineering team better context.
Frequently Asked Questions
About TrackJS
TrackJS is a JavaScript-based error logging and reporting platform that lets you track and reproduce errors on your website. With TrackJS, error handling, reporting and fixing become much easier and more accessible for your entire team. With simple, intuitive reports and clear, timely alerts, you can see and understand any errors in your frontend code, with the required context to fix those bugs quickly and efficiently. TrackJS is 100% employee owned and operated.
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.