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Integrate your Google BigQuery Data Warehouse with Amazon Kinesis Firehose
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 Amazon Kinesis Firehose and all of your other cloud tools.
Easy Google BigQuery to Amazon Kinesis Firehose 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 Amazon Kinesis Firehose. 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 Amazon Kinesis Firehose and RudderStack
Stream behavioral data
Easily stream data from your website or app to Amazon Kinesis Firehose in real-time.
Customize data payloads
Modify payloads to match requirements in Amazon Kinesis Firehose.
Connect your pipelines
Automatically send user behavior data directly to Amazon Kinesis Firehose.
Frequently Asked Questions
How do you integrate your Google BigQuery data warehouse with Amazon Kinesis Firehose?
With Rudderstack, integration between Google BigQuery source and Amazon Kinesis Firehose is simple. Set up a Google BigQuery source source and start sending data.
Is it expensive to integrate Google BigQuery source with Amazon Kinesis Firehose?
Pricing Google BigQuery source and Amazon Kinesis Firehose 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 Amazon Kinesis Firehose?
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery source and Amazon Kinesis Firehose.
Is it possible to send integrate Google BigQuery with Amazon Kinesis Firehose without using RudderStack?
Yes, RudderStack streamlines the integration and management of your connection between Google BigQuery & Amazon Kinesis Firehose, 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 Amazon Kinesis Firehose
Amazon Kinesis Firehose gives you an easy and reliable way to load your streaming data into data lakes, data stores, and a host of other analytics tools. It is a fully-managed service that can be scaled automatically to match the load and throughput of your data, without requiring any additional administration. You can also perform batch processing, and compress, transform, and encrypt your data before loading it. Firehose helps you minimize the amount of storage used at the destination in a secure manner.
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.
