DatriseAI-first ETL

WaiterAid to Neon Integration

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

How Datrise loads WaiterAid into Neon

Datrise syncs WaiterAid's bookings, guests, tables, restaurants, time slots, and booking statuses into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

WaiterAid: Restaurant reservations and table management.

Neon: Serverless Postgres destination with branching and autoscaling.

How WaiterAid entities map to Neon

WaiterAid entityNeon 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 Neon?

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 Neon types.

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

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

Related pipelines

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