Google BigQuery
Amazon Kinesis

Integrate your Google BigQuery Data Warehouse with Amazon Kinesis

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 and all of your other cloud tools.

Easy Google BigQuery to Amazon Kinesis 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. 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 and RudderStack

Stream behavioral data

Easily stream data from your website or app to Amazon Kinesis in real-time.

Customize data payloads

Modify payloads to match requirements in Amazon Kinesis.

Connect your pipelines

Automatically send user behavior data directly to Amazon Kinesis.

Frequently Asked Questions

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

Pricing Google BigQuery source and Amazon Kinesis 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 Amazon Kinesis.

Yes, RudderStack streamlines the integration and management of your connection between Google BigQuery & Amazon Kinesis, 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.

Use the Amazon Kinesis integration with other popular sources

Use the Google BigQuery integration with other popular destinations

About Amazon Kinesis

Amazon Kinesis enables you to ingest, buffer and process streaming data in real-time. It can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latencies along with the flexibility to choose the tools that best suit the requirements of your application. Kinesis supports various data formats such as audio, video, application logs, clickstream data, and IoT data. It provides unique streaming services to ingest and leverage this data to perform machine learning as well as advanced analytics.

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.