DatriseAI-first ETL

Amazon Seller Partner to Domo Integration

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

How Datrise loads Amazon Seller Partner into Domo

Datrise syncs Amazon Seller Partner's orders, order items, listings, inventory, settlements, and FBA shipments into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

Amazon Seller Partner: Seller data for Amazon marketplace operations.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Amazon Seller Partner entities map to Domo

Amazon Seller Partner entityDomo objectNotes
ordersamazon_seller_partner_ordersid PK · custom fields → flattened columns for Magic ETL
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 Domo?

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

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

Early access

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