Connect Stripe to Azure SQL

Connect Stripe and add Azure SQL as the stored destination. Create a datastream, then save a job that sends the required records to the "prices" table.

Build the Stripe schema from available records such as accounts, customers, products, and prices, plus the supported account and date dimensions. Preview the selected columns before the Azure SQL job is saved.

Choose how far back the first Stripe load should go and how much recent data each "prices" run should refresh. Catchr splits large backfills into smaller intervals.

For recurring Stripe loads, assign an eligible partition field to "prices". Otherwise Catchr cannot match the refresh window and will append the returned records.

With Stripe data, an Azure SQL query can summarize payment amount, successful charges, and failed charges by customer. Join accounts and customers with shared account or date keys to build a reusable performance model in Azure SQL.

Yes. Connect an existing Azure SQL  database first. The Catchr job creates and populates the destination table you configure inside that database.

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.