DatriseAI-first ETL

GoCardless to Tableau Integration

AI-first ETL from GoCardless into Tableau. Governed entities, incremental sync, typed landing tables.

How Datrise loads GoCardless into Tableau

Datrise syncs GoCardless's payments, customers, mandates, subscriptions, payouts, and refunds into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

GoCardless: Bank debit collection and recurring payments.

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How GoCardless entities map to Tableau

GoCardless entityTableau objectNotes
paymentsgocardless_paymentsid PK · custom fields → flattened columns for Tableau fields
customersgocardless_customersid PK · linked to gocardless_payments
mandatesgocardless_mandatesid PK · linked to gocardless_payments
subscriptionsgocardless_subscriptionsid PK · linked to gocardless_payments

FAQ

How does Datrise handle GoCardless's custom fields in Tableau?

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

How does the GoCardless to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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