DatriseAI-first ETL

ChartMogul to Domo Integration

AI-first ETL from ChartMogul into Domo. Governed entities, incremental sync, typed landing tables.

How Datrise loads ChartMogul into Domo

Datrise syncs ChartMogul's customers, subscriptions, invoices, MRR movements, plans, and churn events into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

ChartMogul: Subscription analytics and revenue reporting.

Domo: Cloud BI platform combining data integration and executive dashboards.

How ChartMogul entities map to Domo

ChartMogul entityDomo objectNotes
customerschartmogul_customersid PK · custom fields → flattened columns for Magic ETL
subscriptionschartmogul_subscriptionsid PK · linked to chartmogul_customers
invoiceschartmogul_invoicesid PK · linked to chartmogul_customers
MRR movementschartmogul_mrr_movementsdate/time columns events

FAQ

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

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

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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