DatriseAI-first ETL

Linnworks to PlanetScale Integration

AI-first ETL from Linnworks into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Linnworks into PlanetScale

Datrise syncs Linnworks's orders, stock items, channels, shipments, suppliers, and inventory levels into PlanetScale 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.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Linnworks: Multichannel order and inventory management.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Linnworks entities map to PlanetScale

Linnworks entityPlanetScale objectNotes
orderslinnworks_ordersid PK · custom fields → JSON columns
stock itemslinnworks_stock_itemsid PK · linked to linnworks_orders
channelslinnworks_channelsid PK · linked to linnworks_orders
shipmentslinnworks_shipmentsid PK · linked to linnworks_orders

FAQ

How does Datrise handle Linnworks's custom fields in PlanetScale?

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 PlanetScale types.

How does the Linnworks to PlanetScale 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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