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Integrate your Google BigQuery Data Warehouse with Iron.io
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 Iron.io and all of your other cloud tools.
Easy Google BigQuery to Iron.io 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 Iron.io . 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.
Available via webhook
Send event data to Iron.io by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Iron.io API. Once enabled, RudderStack will forward events to Iron.io (note, this requires leveraging cloud API endpoints for Iron.io ).
Popular ways to use Iron.io and RudderStack
Create and update users
Automatically create and update users in Iron.io.
Easily track user behavior
Send behavioral data directly to Iron.io.
Easily track pageview data
Route existing pageview data to Iron.io
Frequently Asked Questions
How do you integrate your Google BigQuery data warehouse with Iron.io?
With Rudderstack, integration between Google BigQuery source and Iron.io is simple. Set up a Google BigQuery source source and start sending data.
Is it expensive to integrate Google BigQuery source with Iron.io?
Pricing Google BigQuery source and Iron.io 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 Iron.io?
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery source and Iron.io.
Is it possible to send integrate Google BigQuery with Iron.io without using RudderStack?
Yes, RudderStack streamlines the integration and management of your connection between Google BigQuery & Iron.io , 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 Iron.io
Iron.io is a collection of hosted serverless tools that help you build a robust, container-based infrastructure that can handle workloads of all scale and complexity. It consists of four major tools to handle your workloads – IronWorker, IronCache, IronFunctions, and IronMQ. Iron offers flexibility, scalability, speed, and strong performance – the core values you need to build a modern infrastructure.
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.