Connect Chartmogul to Azure SQL

Add Chartmogul in Sources and connect the existing Azure SQL database in Storage. A datastream defines the route, while the job loads the chosen fields into "subscriptions".

Select concrete Chartmogul fields such as ARPA, ARR, ASP, and Day of the month. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as customers, subscriptions, and plans.

Define the first Chartmogul fetch, run frequency, and lookback window in the "subscriptions" job. Each scheduled run replaces data inside the configured period.

Use a supported date field to partition "subscriptions". Recurring Chartmogul runs can then update the selected window instead of adding another copy of the same period.

With Chartmogul data, an Azure SQL query can summarize recurring revenue, active customers, churned customers, and churn rate by plan. Model ARPA and ARR in SQL, then expose the result to dashboards, internal tools, or recurring client reports.

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.