Sync BigQuery to S3

Sync data from Amazon Simple Storage Service (S3), in Athena-supported structure, to any app via Census's Amazon Athena integration. Simply point Athena at data stored in S3, identify your fields, and sync your data to all your tools.

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Integration in Four Steps

Step 1: Connect BigQuery

Connect BigQuery with standard API, ODBC and JDBC credentials.

Step 2: Connect S3 as a destination

You can connect to S3 by providing credentials to Census through an intuitive interface.

Step 3: Define the core data that matters for your business

Write a SQL Statement. Select the records you want to sync from BigQuery. Census will match records based on the unique identifier you provide (like email or ID).

Step 4: Schedule your sync

Choose your sync frequency with options to transfer data in real time, on a schedule, or triggered via our API.

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Where can you sync your BigQuery in S3?

A single source of truth in all your tools

Census is the easiest way to share a consistent view of your data across your entire business. Define your models, metrics, and business logic in your data warehouse and sync them to all your operational tools.

Create trust in consistent metrics
Automate confidently with clean data
Simplify your data integration strategy
Improve data security and visibility

Helping business & data teams collaborate at

Advantages of Census

Build once. Reuse everywhere.

Once you define your models in dbt or in Census, you can sync them to all your tools, so every team is using the same data to achieve their goals.

No more CSV files & Python scripts

Focus on improving data quality and collaboration, not writing custom code to integrate with Go-t0-Market tools. Census takes care of getting the data into the hands of your business team. No engineering favors required.

It just works. At scale.

Whether you sync 100 records or 100 billion, we will keep your data in sync across your warehouse and your business tools. Census automatically navigates API failures and monitors errors to keep you aware of worst case scenarios.