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Integrate your Google BigQuery Data Warehouse with Confluent Cloud
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 Confluent Cloud and all of your other cloud tools.
Easy Google BigQuery to Confluent Cloud 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 Confluent Cloud. 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 Confluent Cloud and RudderStack
Send data anywhere
Automatically send data to any destination that supports webhooks
Customize event payloads
Easily modify payloads to meet the requirements of multiple webhook destinations
Ingest from any webhook
Automatically ingest data from any source that supports webhooks
Frequently Asked Questions
How do you integrate your Google BigQuery data warehouse with Confluent cloud?
With Rudderstack, integration between Google BigQuery source and Confluent cloud is simple. Set up a Google BigQuery source source and start sending data.
Is it expensive to integrate Google BigQuery source with Confluent cloud?
Pricing Google BigQuery source and Confluent cloud can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
How long does it take to integrate Google BigQuery source with Confluent cloud?
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery source and Confluent cloud.
Is it possible to send integrate Google BigQuery with Confluent Cloud without using RudderStack?
Yes, RudderStack streamlines the integration and management of your connection between Google BigQuery & Confluent Cloud, 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.
About Confluent Cloud
Confluent Cloud is a cloud-native event streaming platform powered by Apache Kafka. It is a simple, scalable, and secure event streaming platform built for cloud-first enterprises and agile developers.
Powered by Apache Kafka, it is simple, secure, and simplifies data ingestion and processing on all the major clouds. With Confluent Cloud, you can easily handle large-scale data workloads without compromising on performance.
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.