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Google BigQuery
Serenytics

Integrate your Google BigQuery Data Warehouse with Serenytics

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 Serenytics and all of your other cloud tools.

Easy Google BigQuery to Serenytics 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 Serenytics. 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 Serenytics and RudderStack

Enable real-time data

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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 Serenytics is simple. Set up a Google BigQuery source and start sending data.
Pricing Google BigQuery and Serenytics 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 Serenytics.

Use the Google BigQuery integration with other popular destinations

About Serenytics

Serenytics lets you manipulate your data (aggregate, filter, create functions), compute all the KPIs you need, create live dashboards with your analysis, and share them in a few clicks with your stakeholders. Serenytics is based in Paris, France.

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.