DatriseAI-first ETL

Commercetools to Looker Studio Integration

AI-first ETL from Commercetools into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Commercetools into Looker Studio

Datrise syncs Commercetools's orders, products, carts, customers, inventory, and prices into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Commercetools: Composable commerce platform and catalog APIs.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Commercetools entities map to Looker Studio

Commercetools entityLooker Studio objectNotes
orderscommercetools_ordersid PK · custom fields → flattened columns for chart fields
productscommercetools_productsid PK · linked to commercetools_orders
cartscommercetools_cartsid PK · linked to commercetools_orders
customerscommercetools_customersid PK · linked to commercetools_orders

FAQ

How does Datrise handle Commercetools's custom fields in Looker Studio?

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

How does the Commercetools to Looker Studio sync stay up to date?

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

Related pipelines

Early access

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