Stripe Data Replication to Amazon Redshift

Copy (ELT) Stripe data to Amazon Redshift in a few clicks and keep it up to date automatically.

Replicating Stripe to Amazon Redshift

Many businesses want to benefit from the Amazon Redshift ability to quickly perform complex analytical queries over petabytes of data, and need to load their data from Stripe and other applications to the Amazon Redshift 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 Amazon Redshift connections.

Step 2

Select Stripe objects to copy to Amazon Redshift.

Step 3

Optionally specify schedule to update data in Amazon Redshift with recent data from Stripe automatically.

Powerful Replication Features

Automatic Schema Creation

You don’t need to prepare the Amazon Redshift 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 Amazon Redshift once, it can keep your Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift with minimal effort and in only a few clicks!