DatriseAI-first ETL

Linnworks to MySQL Integration

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

How Datrise loads Linnworks into MySQL

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

Linnworks: Multichannel order and inventory management.

MySQL: Widely used OSS relational engine (InnoDB).

How Linnworks entities map to MySQL

Linnworks entityMySQL 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 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 Linnworks 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

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