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Export Data to your Data Warehouse

Automate exports from Stripe to Snowflake or Redshift.

Data Pipeline currently supports Snowflake (deployed on AWS) and Amazon Redshift data regions. For additional information on supported instances, view the table below.

AWS RegionSnowflake Amazon Redshift RA3 (with encryption)
us-west-2 (Oregon)
us-east-2 (Ohio)
us-east-1 (N. Virginia)
us-west-1 (N. California)
ca-central-1 (Central Canada)
sa-east-1 (São Paulo)
eu-central-1 (Frankfurt)
eu-west-1 (Ireland)
eu-west-2 (London)
eu-west-3 (Paris)
eu-north-1 (Stockholm)
me-south-1 (Bahrain)
ap-southeast-1 (Singapore)
ap-southeast-2 (Sydney)
ap-northeast-1 (Tokyo)
ap-northeast-2 (Seoul)
ap-east-1 (Hong Kong)

Note

If you’re using another data warehouse besides Snowflake or Amazon Redshift, or if your warehouse region isn’t listed above, let us know at data-pipeline@stripe.com.

Get started

When you sign up for Data Pipeline, Stripe sends a data share to your Snowflake or Amazon Redshift account. After you accept the data share, you can access your core Stripe data in Snowflake or Amazon Redshift within 12 hours. After the initial load, your Stripe data refreshes regularly.

Note

You can only have one warehouse account connected to your Stripe account.

Link your Snowflake account

First, send all your up-to-date Stripe data and reports through the Dashboard:

  1. On the Data Pipeline settings page in the Dashboard, click Sign up.
  2. From the drawer, select Snowflake, then click Continue.
  3. Enter your Snowflake Account Identifier and your AWS region, then click Next.
  4. Copy the SQL from the code block and insert it in a SQL worksheet in Snowflake warehouse and run the query to retrieve the unique value. Enter the value in the text box and click Subscribe.

Access your data share in Snowflake

Next, after 48 hours, access your data share from your Snowflake account:

  1. Navigate to your Snowflake account to accept the Stripe data share.
  2. In Snowflake, have an ACCOUNTADMIN navigate to Data > Shared Data. In the Ready to Get section, navigate to a share entitled SHARE_[ACCOUNT_IDENTIFIER] from one of three Stripe accounts, depending on your data warehouse region:
    • GSWUDFY_STRIPE_AWS_US_EAST_1: data warehouses in us-east-1
    • JZA07263: data warehouses in us-west-2
    • VM70738: data warehouses in us-east-2
    Then, click Get shared data to accept the share.
  3. In the modal that opens, give the database a name (for example, “Stripe”), select the roles to grant access to (for example, SYSADMIN), then click Get Data.
  4. Confirm that you can view your Stripe data in Data From Direct Shares and Databases. You can now query your Stripe data directly in Snowflake.

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.

View your available Stripe data by navigating to Views in the database you created. For each table, you can also see the available columns by clicking on the table and navigating to Columns.

Financial reports in Data Pipeline

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

Note

At this time, financial reports aren’t available for Amazon Redshift.

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 itemized balance change from the activity report displays in the Dashboard or through the API:

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Change the warehouse account
Query Stripe data in your data warehouse
Financial reports in Data Pipeline
Generating financial reports in Snowflake