DatriseAI-first ETL

Amazon Seller Partner to Apache Superset Integration

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

How Datrise loads Amazon Seller Partner into Apache Superset

Datrise syncs Amazon Seller Partner's orders, order items, listings, inventory, settlements, and FBA shipments into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Amazon Seller Partner: Seller data for Amazon marketplace operations.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Amazon Seller Partner entities map to Apache Superset

Amazon Seller Partner entityApache Superset objectNotes
ordersamazon_seller_partner_ordersid PK · custom fields → flattened columns for the explore UI
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 Apache Superset?

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

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

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

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