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Google BigQuery
Quantum Metric

Integrate your Google BigQuery Data Warehouse with Quantum Metric

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 Quantum Metric and all of your other cloud tools.

Easy Google BigQuery to Quantum Metric 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 Quantum Metric. 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 Quantum Metric and RudderStack

Enable real-time data

Automatically send real-time data to marketing analytics, product analytics and business analytics tools.

Cross-platform tracking

Track the entire user journey across platforms without the technical headache.

Hot-swap analytics tools

Send existing data feeds to new analytics tools with a few clicks.

Frequently Asked Questions

With Rudderstack, integration between Google BigQuery and Quantum Metric is simple. Set up a Google BigQuery source and start sending data.
Pricing Google BigQuery and Quantum Metric 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 Quantum Metric.

About Quantum Metric

Quantum Metric is a continuous product design platform that helps you gain real-time customer insights to improve your product. It offers business and technical teams real-time visibility into customer signals from every phase of the product lifecycle. With Quantum Metric, you can prioritize the most important product features.

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.