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Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.
Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.
Answers about AzureSQL setup, available source data, schedules, table updates, and SQL use cases.
Authorize CommentSold with your API token and Shop ID, save your Azure SQL connection details, then pair both systems in a datastream and select the fields to preview and write.
You can select customer and order data, including payment amount, subtotal, taxes, coupon discount, shipping cost, customer details, shipping location, and order creation dates, then rename columns before writing them to Azure SQL.
A CommentSold job can start with an available historical fetch and continue on a recurring schedule. The available history and frequency depend on the CommentSold API and your Catchr plan.
Use the order created_at field as the job date field. Catchr can delete and rewrite the scheduled date window in Azure SQL to limit duplicate rows across overlapping runs.
Use Azure SQL queries to analyze paid amounts, subtotals, taxes, discounts, shipping costs, and unique customers by date or shipping location, then expose stable views to your reporting tools.
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.
Our teams is always here to responds to any question you could have about our data connector.