Google BigQuery
Redash
Integrate your Google BigQuery Data Warehouse with Redash
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 Redash and all of your other cloud tools.
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Easy Google BigQuery to Redash 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 Redash. 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 webhookSend event data to Redash by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Redash API. Once enabled, RudderStack will forward events to Redash (note, this requires leveraging cloud API endpoints for Redash ).
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Frequently Asked Questions
With Rudderstack, integration between Google BigQuery and Redash is simple. Set up a Google BigQuery source and start sending data.
Pricing Google BigQuery and Redash 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 Redash.
Use the Redash integration with other popular sources
Use the Google BigQuery integration with other popular destinations
About Redash

Redash is an open-source SaaS platform that enables you to query your all your data sources, visualize the results, build dashboards and share data with your team. It is easy to set up and works with any data source (SQL, NoSQL, Big Data, and API data sources), so you can query from anywhere in no time.

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.