DatriseAI-first ETL

WaiterAid to MySQL Integration

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

How Datrise loads WaiterAid into MySQL

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

WaiterAid: Restaurant reservations and table management.

MySQL: Widely used OSS relational engine (InnoDB).

How WaiterAid entities map to MySQL

WaiterAid entityMySQL objectNotes
bookingswaiteraid_bookingsid PK · custom fields → JSON 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 MySQL?

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

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

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

Related pipelines

Early access

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