DatriseAI-first ETL

Amazon Seller Partner to PlanetScale Integration

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

How Datrise loads Amazon Seller Partner into PlanetScale

Datrise syncs Amazon Seller Partner's orders, order items, listings, inventory, settlements, and FBA shipments 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

Amazon Seller Partner: Seller data for Amazon marketplace operations.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Amazon Seller Partner entities map to PlanetScale

Amazon Seller Partner entityPlanetScale objectNotes
ordersamazon_seller_partner_ordersid PK · custom fields → JSON columns
order itemsamazon_seller_partner_order_itemsid PK · linked to amazon_seller_partner_orders
listingsamazon_seller_partner_listingsid PK · linked to amazon_seller_partner_orders
inventoryamazon_seller_partner_inventoryid PK · linked to amazon_seller_partner_orders

FAQ

How does Datrise handle Amazon Seller Partner'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 Amazon Seller Partner 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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