Amazon Seller Partner to Supabase Integration

How Datrise loads Amazon Seller Partner into Supabase

Datrise syncs Amazon Seller Partner's orders, order items, listings, inventory, settlements, and FBA shipments into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Amazon Seller Partner: Seller data for Amazon marketplace operations.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Amazon Seller Partner entities map to Supabase

Amazon Seller Partner entity	Supabase object	Notes
orders	`amazon_seller_partner_orders`	id PK · custom fields → jsonb columns
order items	`amazon_seller_partner_order_items`	id PK · linked to amazon_seller_partner_orders
listings	`amazon_seller_partner_listings`	id PK · linked to amazon_seller_partner_orders
inventory	`amazon_seller_partner_inventory`	id PK · linked to amazon_seller_partner_orders

FAQ

How does Datrise handle Amazon Seller Partner's custom fields in Supabase?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.

How does the Amazon Seller Partner to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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