Restaurant Database Schema Examples

These restaurant schema examples show how the same menu-order-table core adapts to dine-in service, delivery, multi-location chains, and reservation-heavy fine dining.

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Real examples

Dine-in ordering (the baseline)

Who uses it: Developer building a first restaurant ordering system

MenuItem (id, category_id, name, price, available)

Order (id, table_id, status, total, created_at)

OrderItem (id, order_id, menu_item_id, quantity, subtotal)

RestaurantTable (id, number, seats)

Order links to a table; no delivery address needed

Why this works: Dine-in is the cleanest starting schema — an order belongs to a table, and the order-item table resolves the many-to-many between orders and menu items, which is the single most important relationship to get right.

Delivery / takeout

Who uses it: Team building an online food ordering app

Order gains delivery_address, delivery_fee, and a courier_id

Customer (id, name, phone, address) becomes central

No table link — orders are tied to customers, not tables

OrderStatus enum extends to preparing, out-for-delivery, delivered

Optional Courier table for delivery assignment

Why this works: Delivery shifts the order's anchor from a table to a customer address — the diagram drops the table relationship and adds delivery fields, which is the core difference between dine-in and off-premise schemas.

Multi-location chain

Who uses it: Team running several restaurant branches on one system

Location (id, name, address) added at the top

MenuItem can be location-specific via a location_id or a join table

Orders and tables both reference a location

Pricing can vary per location (price on a menu-location join)

Reporting rolls up orders by location

Why this works: A chain adds a Location entity that nearly every other table references — the design decision is whether menu and pricing are global or per-location, which the diagram should make explicit with a join table when prices differ.

Reservation-focused fine dining

Who uses it: Team where table booking matters as much as ordering

Reservation (id, customer_id, table_id, reserved_at, party_size, status)

A table has many reservations across different times

Availability query checks for overlapping reserved_at windows

Order optionally links to a reservation

Waitlist table for when no table is free

Why this works: Reservation-heavy restaurants make the booking relationship first-class — the diagram emphasizes the table-reservation link and the overlap check, because preventing double-booking is the schema's main job here.

Tips for better study mind maps

Always resolve orders-to-menu-items through an OrderItem table; a direct link can't carry quantity or per-line price.
Store the price on OrderItem at order time, not just on MenuItem — menu prices change, but historical orders must keep their original totals.
Give Order a status enum so the kitchen and front-of-house can query open vs completed orders.
For reservations, model the time window explicitly so an availability query can detect overlaps.

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