DatriseAI-first ETL

WooCommerce to PlanetScale Integration

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

How Datrise loads WooCommerce into PlanetScale

Datrise syncs WooCommerce's orders, products, customers, coupons, refunds, and order line items 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

WooCommerce: WordPress ecommerce storefront and order data.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How WooCommerce entities map to PlanetScale

WooCommerce entityPlanetScale objectNotes
orderswoocommerce_ordersid PK · custom fields → JSON columns
productswoocommerce_productsid PK · linked to woocommerce_orders
customerswoocommerce_customersid PK · linked to woocommerce_orders
couponswoocommerce_couponsid PK · linked to woocommerce_orders

FAQ

How does Datrise handle WooCommerce'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 WooCommerce 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

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