DatriseAI-first ETL

WaiterAid to Apache Superset Integration

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

How Datrise loads WaiterAid into Apache Superset

Datrise syncs WaiterAid's bookings, guests, tables, restaurants, time slots, and booking statuses 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

WaiterAid: Restaurant reservations and table management.

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

How WaiterAid entities map to Apache Superset

WaiterAid entityApache Superset objectNotes
bookingswaiteraid_bookingsid PK · custom fields → flattened columns for the explore UI
guestswaiteraid_guestsid PK · linked to waiteraid_bookings
tableswaiteraid_tablesid PK · linked to waiteraid_bookings
restaurantswaiteraid_restaurantsid PK · linked to waiteraid_bookings

FAQ

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

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

Related pipelines

Early access

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