![Google BigQuery](https://cdn.sanity.io/images/97bpcflt/production/447aa6a8e70e05498a636411345fd3016011d1f6-226x200.png?bg=0fff&w=80&fit=crop&dpr=2&fm=webp&h=71)
![Errorception](https://cdn.sanity.io/images/97bpcflt/production/bf26aa24e63f8067bbf74ea2bb7dfc0bb84a3e39-367x200.png?bg=0fff&w=80&fit=crop&dpr=2&fm=webp&h=44)
Integrate your Google BigQuery Data Warehouse with Errorception
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 Errorception and all of your other cloud tools.With Rudderstack, integration between Google BigQuery source and Errorception is simple. Set up a Google BigQuery source source and start sending data.
Pricing Google BigQuery source and Errorception 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 source and Errorception.
Yes, RudderStack streamlines the integration and management of your connection between Google BigQuery & Errorception, but you check out our guide on How to Access and Query Your Google BigQuery Data Using Python and R to learn how to connect the tools manually.
Errorception is a popular error tracking tool based on JavaScript. It allows you to track, identify and report errors in your website in a matter of minutes. Using Errorception is super easy - simply copy and paste the code snippet to your website, and you can get started with recording your website errors. You don’t have to worry about your website slowing down either - adding this snippet to your website does not affect your website performance in any way.
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.