DatriseAI-first ETL

Stripe Apache Superset

AI-first ETL from Stripe into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads Stripe into Apache Superset

Datrise syncs Stripe's charges, customers, subscriptions, invoices, and balance transactions into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Stripe: Payments infrastructure for charges, subscriptions, and payouts.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Stripe entities map to Apache Superset

Stripe entityApache Superset objectNotes
chargesstripe_chargesid PK · custom fields → flattened columns for the explore UI
customersstripe_customersid PK · linked to stripe_charges
subscriptionsstripe_subscriptionsid PK · linked to stripe_charges
invoicesstripe_invoicesid PK · linked to stripe_charges

FAQ

How does Datrise handle Stripe's custom fields in Apache Superset?

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

How does the Stripe to Apache Superset sync stay up to date?

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

Related pipelines

Early access

Connect Stripe to Apache Superset the easy way

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