Amazon Seller Partner to Google BigQuery Integration
AI-first ETL from Amazon Seller Partner into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon Seller Partner into Google BigQuery
Datrise syncs Amazon Seller Partner's orders, order items, listings, inventory, settlements, and FBA shipments into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
Amazon Seller Partner: Seller data for Amazon marketplace operations.
Google BigQuery: Serverless analytics warehouse on GCP.
How Amazon Seller Partner entities map to Google BigQuery
| Amazon Seller Partner entity | Google BigQuery object | Notes |
|---|---|---|
| orders | amazon_seller_partner_orders | id PK · custom fields → JSON or nested/repeated (STRUCT) 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 Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the Amazon Seller Partner to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
More destinations for Amazon Seller Partner
- Amazon Seller Partner → Amazon Redshift
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- Amazon Seller Partner → CSV Files
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Early access
Connect Amazon Seller Partner to Google BigQuery the easy way
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