GoCardless to Chartio Integration
AI-first ETL from GoCardless into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads GoCardless into Chartio
Datrise syncs GoCardless's payments, customers, mandates, subscriptions, payouts, and refunds into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
GoCardless: Bank debit collection and recurring payments.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How GoCardless entities map to Chartio
| GoCardless entity | Chartio object | Notes |
|---|---|---|
| payments | gocardless_payments | id PK · custom fields → flattened columns for visual SQL |
| customers | gocardless_customers | id PK · linked to gocardless_payments |
| mandates | gocardless_mandates | id PK · linked to gocardless_payments |
| subscriptions | gocardless_subscriptions | id PK · linked to gocardless_payments |
FAQ
How does Datrise handle GoCardless's custom fields in Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the GoCardless to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for GoCardless
Early access
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