DatriseAI-first ETL

Adobe Commerce (Magento) PlanetScale

AI-first ETL from Adobe Commerce (Magento) into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Adobe Commerce (Magento) into PlanetScale

Datrise syncs Adobe Commerce (Magento)'s orders, products, customers, carts, and store views 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

Adobe Commerce (Magento): Enterprise e-commerce catalog, orders, and customer data.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Adobe Commerce (Magento) entities map to PlanetScale

Adobe Commerce (Magento) entityPlanetScale objectNotes
ordersmagento_ordersid PK · custom fields → JSON columns
productsmagento_productsid PK · linked to magento_orders
customersmagento_customersid PK · linked to magento_orders
cartsmagento_cartsid PK · linked to magento_orders

FAQ

How does Datrise handle Adobe Commerce (Magento)'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 Adobe Commerce (Magento) 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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