Stripe → GoodData
AI-first ETL from Stripe into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Stripe into GoodData
Datrise syncs Stripe's charges, customers, subscriptions, invoices, and balance transactions into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Stripe: Payments infrastructure for charges, subscriptions, and payouts.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Stripe entities map to GoodData
| Stripe entity | GoodData object | Notes |
|---|---|---|
| charges | stripe_charges | id PK · custom fields → flattened columns |
| customers | stripe_customers | id PK · linked to stripe_charges |
| subscriptions | stripe_subscriptions | id PK · linked to stripe_charges |
| invoices | stripe_invoices | id PK · linked to stripe_charges |
FAQ
How does Datrise handle Stripe's custom fields in GoodData?
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 GoodData types.
How does the Stripe to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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