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Integrate your Google BigQuery Data Warehouse with Apache Kafka
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 Apache Kafka and all of your other cloud tools.With Rudderstack, integration between Google BigQuery source and Apache Kafka is simple. Set up a Google BigQuery source source and start sending data.
Pricing Google BigQuery source and Apache Kafka 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 source and Apache Kafka.
Yes, RudderStack streamlines the integration and management of your connection between Google BigQuery & Apache Kafka , 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.
Apache Kafka is a popular distributed streaming platform. It allows you to handle large-scale workloads with high throughput and low latency. Apache Kafka is highly available and is used across the world for building real-time data pipelines and streaming applications.
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.