DatriseAI-first ETL

WaiterAid to PostgreSQL Integration

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

How Datrise loads WaiterAid into PostgreSQL

Datrise syncs WaiterAid's bookings, guests, tables, restaurants, time slots, and booking statuses into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

WaiterAid: Restaurant reservations and table management.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How WaiterAid entities map to PostgreSQL

WaiterAid entityPostgreSQL objectNotes
bookingswaiteraid_bookingsid PK · custom fields → jsonb columns
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 PostgreSQL?

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

How does the WaiterAid to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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