Connect Braze to BigQuery
Quickly integrate your Braze data into BigQuery with Windsor.ai’s ETL connectors.
Our platform automates Braze data ingestion into BigQuery, enabling advanced SQL analysis, machine learning workflows, and multi-channel data integration.
Forget CSVs. Stop copy/paste. Connect data in 2 minutes. No code required.

Streamline analytics with Braze to BigQuery integration
By connecting Braze to BigQuery through Windsor.ai, you can centralize customer engagement data in a high-performance analytics environment and gain deeper insights, unlocking these key benefits:
Scalable and secure storage
Scalable and secure storage
Built on Google Cloud’s enterprise-grade infrastructure, BigQuery ensures your Braze data is stored securely with encryption, granular access controls, and automatic scaling. Whether you process millions or billions of events, performance and compliance remain uncompromised.
Automated data ingestion
Automated data ingestion
Set up a fully automated ETL pipeline that continuously streams Braze events, user attributes, and campaign metrics into BigQuery. Eliminate manual exports, API handling, and schema maintenance; your engagement data always stays fresh and analytics-ready.
Boost customer engagement
Boost customer engagement
Take advantage of BigQuery’s SQL and ML capabilities to identify high-value audiences and personalize communication. Run real-time queries across Braze data to uncover behavioral patterns and optimize campaigns that drive retention and engagement at scale.
Using Windsor.ai connector to import data from Braze into BigQuery
Syncing Braze into BigQuery can be complex, time-consuming, and require ongoing technical expertise. Windsor.ai simplifies this process with a fast, reliable, and fully no-code ETL connector.
In just a few clicks, import key Braze events, campaigns, and engagement metrics into BigQuery for scalable analytics and long-term data storage.


How to connect Braze to BigQuery in Windsor.ai
Make sure you have the following prerequisites before setting up the connector:
- Braze account
- Google Cloud Platform (GCP) account with BigQuery enabled
- Active Windsor.ai account
Select your data source
Choose Braze as your data source and grant access to Windsor.ai.

Select your destination
Set BigQuery as the destination for your data.

Create a destination task
Click on the “Add Destination Task” button and fill out the required fields along with the advanced settings (optional). Save and run the task.





FAQs
What is BigQuery?
BigQuery is a serverless data warehouse developed by Google, powered by machine learning (ML) and business intelligence (BI) tools. It simplifies data management tasks such as resource provisioning, updates, and maintenance.
The platform is highly scalable, and you only pay for the storage and features you use. With real-time analytics and SQL querying support, BigQuery provides instant insights to help you make data-driven decisions at any point.
How much time do I need to create the Braze and BigQuery integration?
Windsor.ai offers a user-friendly interface and a powerful no-code data connector, allowing you to integrate Braze data into BigQuery in under 2 minutes, providing a quick and effortless setup.
Do you have helpful links to get started with integrating Braze and BigQuery using Windsor.ai?
Yes, we have helpful resources to help you get started. You can explore our official documentation for seamless Braze to BigQuery integration:
How much does it cost to integrate Braze into BigQuery with Windsor.ai?
Windsor.ai’s pricing for Braze to BigQuery data integration can vary depending on your use case and data volume. We offer absolutely transparent, volume-based event pricing plans for diversified business needs and budgets.
Popular Braze integrations
Import your Braze data into any destination using Windsor.ai.
Tired of manual Braze data exports? Get started with Windsor.ai today to automate your reporting
















