Connect Shopify to Azure SQL

Connect Shopify as a Catchr source. Add your existing Azure SQL database, create a datastream, and configure a job that writes the selected fields to the "customers" table.

Select concrete Shopify fields such as Average Total Sales, Cost of Goods Sold, Discount, and Day of the month. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as stores, customers, and products.

Catchr first processes the historical range configured for Shopify. Later runs update the "customers" table using the saved frequency and rolling import window.

Catchr uses the selected partition field to refresh the relevant Shopify period inside "customers". Leaving it blank changes the job to append-only behavior.

With Shopify data, an Azure SQL query can summarize revenue, orders, units sold, and average order value by sales channel. A Azure SQL view comparing Average Total Sales and Cost of Goods Sold can feed agency dashboards or downstream BI models.

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.