Commercetools to Google BigQuery Integration
AI-first ETL from Commercetools into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Commercetools into Google BigQuery
Datrise syncs Commercetools's orders, products, carts, customers, inventory, and prices 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
Commercetools: Composable commerce platform and catalog APIs.
Google BigQuery: Serverless analytics warehouse on GCP.
How Commercetools entities map to Google BigQuery
| Commercetools entity | Google BigQuery object | Notes |
|---|---|---|
| orders | commercetools_orders | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| products | commercetools_products | id PK · linked to commercetools_orders |
| carts | commercetools_carts | id PK · linked to commercetools_orders |
| customers | commercetools_customers | id PK · linked to commercetools_orders |
FAQ
How does Datrise handle Commercetools'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 Commercetools 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 Commercetools
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- Commercetools → CSV Files
- Commercetools → MongoDB
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Early access
Connect Commercetools to Google BigQuery the easy way
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