Amazon Seller Partner to ThoughtSpot Integration

How Datrise loads Amazon Seller Partner into ThoughtSpot

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

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

Amazon Seller Partner: Seller data for Amazon marketplace operations.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Amazon Seller Partner entities map to ThoughtSpot

Amazon Seller Partner entity	ThoughtSpot object	Notes
orders	`amazon_seller_partner_orders`	id PK · custom fields → flattened columns for searchable fields
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 ThoughtSpot?

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

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

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

Related pipelines

Early access

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