Amazon Seller Partner to Birst Integration

How Datrise loads Amazon Seller Partner into Birst

Datrise syncs Amazon Seller Partner's orders, order items, listings, inventory, settlements, and FBA shipments into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Amazon Seller Partner: Seller data for Amazon marketplace operations.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Amazon Seller Partner entities map to Birst

Amazon Seller Partner entity	Birst object	Notes
orders	`amazon_seller_partner_orders`	id PK · custom fields → flattened 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 Birst?

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

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

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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