DatriseAI-first ETL

GoCardless to MicroStrategy Integration

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

How Datrise loads GoCardless into MicroStrategy

Datrise syncs GoCardless's payments, customers, mandates, subscriptions, payouts, and refunds into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

GoCardless: Bank debit collection and recurring payments.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How GoCardless entities map to MicroStrategy

GoCardless entityMicroStrategy objectNotes
paymentsgocardless_paymentsid PK · custom fields → flattened columns
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 MicroStrategy?

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

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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