ChartMogul to Qlik Integration

How Datrise loads ChartMogul into Qlik

Datrise syncs ChartMogul's customers, subscriptions, invoices, MRR movements, plans, and churn events into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.

Ideal for associative, in-memory exploration in Qlik Sense.

Endpoints

ChartMogul: Subscription analytics and revenue reporting.

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How ChartMogul entities map to Qlik

ChartMogul entity	Qlik object	Notes
customers	`chartmogul_customers`	id PK · custom fields → flattened columns for the data model
subscriptions	`chartmogul_subscriptions`	id PK · linked to chartmogul_customers
invoices	`chartmogul_invoices`	id PK · linked to chartmogul_customers
MRR movements	`chartmogul_mrr_movements`	date/time fields events

FAQ

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

Flexible values are stored as flattened columns for the data model, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Qlik types.

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

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

Related pipelines

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