Export data to a data warehouse

Data Pipeline currently supports Snowflake (deployed on AWS, Azure, or Google Cloud) and Amazon Redshift data regions.

Get started

Navigate to Reporting > Data management in the Stripe Dashboard, and go through the onboarding steps. After you accept the data share and complete onboarding, you can access your core Stripe data in Snowflake or Amazon Redshift within 12 hours. After the initial load, your Stripe data refreshes regularly.

How to onboard

Change the warehouse account

To change the warehouse account your Stripe account is connected to:

1. Turn off Data Pipeline from the Dashboard settings page.
2. Sign up for Data Pipeline again using the steps detailed above for the new warehouse account you want to connect to.

To add another Stripe account to your warehouse account:

1. Follow the sign up steps above for your new Stripe account.
2. Use the same account identifier as above for the respective warehouse. To find your Account ID, navigate to the Dashboard settings page and locate ID under the Connected data warehouse section.

Query Stripe data in your data warehouse

In Snowflake and Amazon Redshift, your data is available as secure views. To query your data, follow the steps below.

Financial reports in Data Pipeline

To facilitate your financial close, you can access Stripe’s reports directly in your data warehouse.

Financial report templates have a FINANCIAL_REPORT prefix and are available as views in your data warehouse.

Generating financial reports in Snowflake

Generating financial reports from Data Pipeline requires setting a few custom variables. These are the same variables you set when generating the report through the Dashboard or API:

• START_DATE (varchar) – The starting date of the report (inclusive).
• END_DATE (varchar) – The ending date of the report (exclusive).
• TIMEZONE (varchar) – The time zone of non-UTC datetime columns.

To set these variables and run the report query:

1. Create a new worksheet.

2. Set the database schema and required variables to your desired values.

   -- set schema based on the name you gave your Stripe database
   use schema db_name.stripe;
   -- set financial report template variables
   set (TIMEZONE, START_DATE, END_DATE) = ('UTC', '2021-09-01', '2021-10-01');

   Caution

   Run these lines of code separately before attempting to query tables that require them. Otherwise, you might receive an error that a session variable doesn’t exist.

   If you’re using the Snowflake Connector for Python, set the session parameter TIMEZONE with the ALTER SESSION SET TIMEZONE = 'UTC' command.

3. After running the code that sets the necessary variables, query the view of the report you want to generate. For example, running:

   select * from FINANCIAL_REPORT_BALANCE_CHANGE_FROM_ACTIVITY_ITEMIZED;

   Returns the same results that the itemised balance change from the activity report displays in the Dashboard or through the API: