Stripe Data Replication to Google BigQuery

Simply Copy Stripe to Google BigQuery with Intuitive Wizards and Keep Copy Up-to-date Automatically

Replicating Stripe to Google BigQuery

Many businesses want to benefit from the Google BigQuery ability to quickly perform complex analytical queries over petabytes of data, and need to load their data from Stripe and other applications to the Google BigQuery service for centralized storing and data analysis. Skyvia is the perfect tool for secure replication to a data warehouse, as it loads data much faster than standard ETL tools and allows you to configure the replication in a few simple steps:

Step 1

Create Stripe and Google BigQuery connections.

Step 2

Select Stripe objects to copy to Google BigQuery.

Step 3

Optionally specify schedule to update data in Google BigQuery with recent data from Stripe automatically.

Powerful Replication Features

Automatic Schema Creation

You don’t need to prepare the Google BigQuery database — Skyvia creates the tables, corresponding to the Stripe objects, in the data warehouse automatically.

Complete or Partial Replication

With Skyvia you can extract and load all the data from a Stripe object or disable loading for some Stripe object fields. You can also configure filters for data to replicate.

Change Data Capture

Skyvia not just copies Stripe data to Google BigQuery once, it can keep your Google BigQuery database up-to-date with Stripe automatically, ensuring you always have fresh data for data analysis without any user intervention.

Optimized Data Loading

Skyvia combines a high-performance optimized batch data loading into Google BigQuery with a granular, per-record data insertion and error logging in case of any errors.

Automation and Monitoring

Flexible Scheduling

Use flexible scheduling settings to automate replication

Detailed Logging

You can find detailed logs for each execution in the package Run History.

Email Notifications

Enable email notifications and always know if anything goes wrong.

Integrate Stripe and Google BigQuery with minimal effort and in only a few clicks!