DatriseAI-first ETL

GoCardless to ThoughtSpot Integration

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

How Datrise loads GoCardless into ThoughtSpot

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

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

GoCardless: Bank debit collection and recurring payments.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How GoCardless entities map to ThoughtSpot

GoCardless entityThoughtSpot objectNotes
paymentsgocardless_paymentsid PK · custom fields → flattened columns for searchable 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 ThoughtSpot?

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

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

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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