DatriseAI-first ETL

Amazon Seller Partner to Microsoft SQL Server Integration

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

How Datrise loads Amazon Seller Partner into Microsoft SQL Server

Datrise syncs Amazon Seller Partner's orders, order items, listings, inventory, settlements, and FBA shipments into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Amazon Seller Partner: Seller data for Amazon marketplace operations.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Amazon Seller Partner entities map to Microsoft SQL Server

Amazon Seller Partner entityMicrosoft SQL Server objectNotes
ordersamazon_seller_partner_ordersid PK · custom fields → NVARCHAR(MAX) 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 Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Amazon Seller Partner to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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