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Google BigQuery
Ometria

Integrate your Google BigQuery Data Warehouse with Ometria

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 Ometria and all of your other cloud tools.

Easy Google BigQuery to Ometria 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 Ometria. 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 Ometria and RudderStack

Create leads automatically

Automatically create customer records in real time in Ometria when someone signs up.

Trigger campaigns

Enable your marketing team to trigger email, SMS, mobile, and personalization campaigns based on user actions.

Easily update user traits

Provide your marketing team with advanced segmentation capabilities by updating user traits in real time.

Frequently Asked Questions

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

Use the Google BigQuery integration with other popular destinations

About Ometria

Ometria is a customer data and marketing platform that enables retailers to create personalized experiences throughout the customer product journey. It leverages AI-powered insights and cross-channel marketing to send personalized marketing messages and thus, increase revenue.

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.