DatriseAI-first ETL

Square Apache Superset

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

How Datrise loads Square into Apache Superset

Datrise syncs Square's payments, orders, customers, catalog items, and locations 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

Square: Payments and commerce platform for retail and online sellers.

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

How Square entities map to Apache Superset

Square entityApache Superset objectNotes
paymentssquare_paymentsid PK · custom fields → flattened columns for the explore UI
orderssquare_ordersid PK · linked to square_payments
customerssquare_customersid PK · linked to square_payments
catalog itemssquare_catalog_itemsid PK · linked to square_payments

FAQ

How does Datrise handle Square'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 Square to Apache Superset sync stay up to date?

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

Related pipelines

Early access

Connect Square to Apache Superset the easy way

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