Google BigQuery
Madkudu
Integrate your Google BigQuery Data Warehouse with Madkudu
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 Madkudu and all of your other cloud tools.
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Easily integrate Google BigQuery with Madkudu using RudderStackRudderStack’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 Madkudu. 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 webhookSend event data to Madkudu by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Madkudu API. Once enabled, RudderStack will forward events to Madkudu (note, this requires leveraging cloud API endpoints for Madkudu ).
Popular ways to use Madkudu and RudderStack
Create leads automaticallyAutomatically create customer records in real time in Madkudu when someone signs up.
Trigger campaignsEnable your marketing team to trigger email, SMS, mobile, and personalization campaigns based on user actions.
Easily update user traitsProvide your marketing team with advanced segmentation capabilities by updating user traits in real time.
Frequently Asked Questions

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

Pricing Google BigQuery source and Madkudu 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 Madkudu.

Yes, RudderStack streamlines the integration and management of your connection between Google BigQuery & Madkudu, 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 Madkudu integration with other popular sources
About Madkudu

Madkudu is a predictive lead scoring solution that helps B2B market leaders to accelerate growth using their customer data. It applies machine learning algorithms to customer data to score leads based on past activity or attributes.

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.