ChartMogul to PostgreSQL Integration

How Datrise loads ChartMogul into PostgreSQL

Datrise syncs ChartMogul's customers, subscriptions, invoices, MRR movements, plans, and churn events into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

ChartMogul: Subscription analytics and revenue reporting.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How ChartMogul entities map to PostgreSQL

ChartMogul entity	PostgreSQL object	Notes
customers	`chartmogul_customers`	id PK · custom fields → jsonb columns
subscriptions	`chartmogul_subscriptions`	id PK · linked to chartmogul_customers
invoices	`chartmogul_invoices`	id PK · linked to chartmogul_customers
MRR movements	`chartmogul_mrr_movements`	timestamptz events

FAQ

How does Datrise handle ChartMogul's custom fields in PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the ChartMogul to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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