Stripe Sigma

Stripe Sigma makes all of your transactional data available as an interactive SQL environment in the Dashboard and allows you to:

• Write queries that leverage its extensive schema.
• Create fully customized reports using information about payments, subscriptions, customers, payouts, and so forth.
• Browse our collection of example queries to answer common questions or as a starting point for writing your own queries.
• View query results directly in the browser, download them in CSV format, and use them in your reporting tools or spreadsheet applications.
• Automate your reporting with scheduled queries that repeat on a regular basis, sending you results in email or in webhook events.

Writing queries

Stripe Sigma uses standard ANSI SQL and a broad range of reporting functions. Anyone on your account with permission to view reports can write queries.

To execute your query and see the results, click Run. More complex queries may take a few moments longer to complete and display results. Attempting to run an invalid query generates an error message that contains the line number and position of the error.

The following query uses the balance_transactions table to get information about the five most recent balance transactions related to refunds.

select
  date_format(created, '%Y-%m-%d') as day,
  id,
  amount,
  currency,
  source_id
from balance_transactions
where type = 'refund'
order by day desc
limit 5
select
  date_format(created, '%Y-%m-%d') as day,
  id,
  amount,
  currency,
  source_id
from balance_transactions
where type = 'refund'
order by day desc
limit 5

Each row corresponds to a particular balance transaction item, along with the requested information about them.

Viewing and downloading query results

Query results display below the editor, and you can view a maximum of 1,000 results. You can sort the results by clicking on the column headers. You can also resize each column to make it easier to read the results, or adjust the height of the results output.

Amounts are expressed in the lowest available currency unit, such as cents for USD or yen for JPY. For example, an amount of 1,000 with a currency of usd would equate to 10 USD.

You can download your query results in CSV format and use them in spreadsheet applications or other reporting tools. There is no limit when downloading a CSV, so you can work with more than 1,000 results if necessary.

Query history

You can view all previously performed queries within the History tab. Selecting a previously-run query loads it into the query editor, ready to be run again.

Templates

​​Stripe Sigma includes a selection of example queries, available in the Templates tab. These queries use common metrics and reports, and serve as starting points for creating your own reports. Selecting a template loads it into the editor, ready to be run.

Templates themselves cannot be modified. Click Duplicate to create a copy that you can then edit and save.

The schema

The Schema tab displays all of the available data that you can use in your queries, organized by category. Each category contains a set of tables that represents the available data.

You can select a table to expand it and reveal its available columns, along with a description of the type of data it contains (e.g., Boolean , Varchar, Foreign key, etc.). Hover the cursor over any column to reveal a description of it. You can also use the search field at the top of the schema to find specific tables and columns.

The Stripe Sigma schema follows our API conventions as closely as possible. Many of the tables correspond to specific API objects, with each column representing a specific attribute that can be reported on. For instance, the charges table represents information about Charge objects, which are displayed in the Payments section of the Dashboard.

When writing queries, our API reference can provide additional context and possible values.

Data availability

Stripe Sigma makes your transaction data available to query within one day. All account activity for a given day (from 12:00am to 11:59pm UTC) is available to query by 12:00pm UTC the following day. For example, data for the end of day Sunday UTC time should be available by Monday afternoon. Similarly, data for the last day of the month would be available one day into the following month.

The interface in the Dashboard displays the date and time that data was last updated. You can use data_load_time as a value in your queries to represent when data was most recently processed on your account. For example, if the data on your account was last processed on 2020-10-25, data_load_time is interpreted as (timestamp '2020-10-25 00:00:00 +0000').

Please note that Sigma may reflect activity that is more recent than data_load_time. For example, a charge authorized just before midnight, but captured soon after, may show as captured.

Joining tables

You can join columns of type Primary key or Foreign key to similar columns in other tables:

• Primary key represents the unique identifier (ID) for each record in a table
• Foreign key represents data that refers to the primary key of another table

For instance, you can join the charge_id​ column of the disputes​ table (a foreign key) to the id​ column of the charges​ table (a primary key).

Stripe Sigma provides many opportunities to join multiple tables together, depending on the data you want to report on. The rest of our Stripe Sigma documentation illustrates commonly used joins between tables, though the flexibility of our schema allows for many different combinations. For instance, the balance transaction query from earlier can be modified to join with the refunds table to provide further information.

select
  date_format(date_trunc('day', balance_transactions.created), '%Y-%m-%d') as day,
  balance_transactions.amount,
  balance_transactions.currency,
  balance_transactions.source_id,
  refunds.charge_id
from
  balance_transactions
inner join refunds -- Joining these tables to retrieve additional information
on balance_transactions.source_id=refunds.id
where balance_transactions.type = 'refund'
order by day desc
limit 5
select
  date_format(date_trunc('day', balance_transactions.created), '%Y-%m-%d') as day,
  balance_transactions.amount,
  balance_transactions.currency,
  balance_transactions.source_id,
  refunds.charge_id
from
  balance_transactions
inner join refunds -- Joining these tables to retrieve additional information
on balance_transactions.source_id=refunds.id
where balance_transactions.type = 'refund'
order by day desc
limit 5

This extended query now returns the original charge ID that the refund relates to.

Saving queries

To save a query, enter a name by clicking on the title of the query (labeled as Untitled if it’s a new query) and then click Save.

You can find saved queries within the Saved tab. Queries that you’ve saved are listed in the You section. The All section includes queries saved by all team members. Selecting a saved query fills in the query editor automatically; the query does not execute until you click Run.

Sharing queries

The queries you save are also added to the All section and made available to every team member on your account. Each saved query is also given a unique URL which you can share by clicking Copy link. You can use this link as a shortcut to a particular report you regularly use, or share it directly to other team members on the Stripe account.

You can only share queries with team members. Shared queries are also read-only, so other team members can’t modify the queries you create. If a team member wants to make changes to the query, they can save a copy and edit it accordingly.

Unsubscribing from Stripe Sigma

If you currently have an active Stripe Sigma subscription and want to cancel it for any reason, you can unsubscribe in Sigma settings page in the Dashboard—click Cancel Stripe Sigma subscription. You can continue using Sigma until the end of the billing cycle, at which point the subscription ends.

Next steps

Congrats! You can now begin writing queries to deep-dive into your account's transactional data using Stripe Sigma. You may want to learn more about querying transactional or billing data, or using Sigma for Connect:

• Querying Transactions
• Querying Billing
• Sigma for Connect Platforms