ChartMogul to Microsoft SQL Server Integration
AI-first ETL from ChartMogul into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads ChartMogul into Microsoft SQL Server
Datrise syncs ChartMogul's customers, subscriptions, invoices, MRR movements, plans, and churn events into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
ChartMogul: Subscription analytics and revenue reporting.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How ChartMogul entities map to Microsoft SQL Server
| ChartMogul entity | Microsoft SQL Server object | Notes |
|---|---|---|
| customers | chartmogul_customers | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| subscriptions | chartmogul_subscriptions | id PK · linked to chartmogul_customers |
| invoices | chartmogul_invoices | id PK · linked to chartmogul_customers |
| MRR movements | chartmogul_mrr_movements | datetime2 events |
FAQ
How does Datrise handle ChartMogul's custom fields in Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the ChartMogul to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
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Early access
Connect ChartMogul to Microsoft SQL Server the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.