DatriseAI-first ETL

Salesforce Commerce Cloud Looker Studio

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

How Datrise loads Salesforce Commerce Cloud into Looker Studio

Datrise syncs Salesforce Commerce Cloud's contacts, accounts, deals, activities, and lifecycle events 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

Salesforce Commerce Cloud: Enterprise CRM for complex sales, service, and revenue operations.

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

How Salesforce Commerce Cloud entities map to Looker Studio

Salesforce Commerce Cloud entityLooker Studio objectNotes
contactssalesforce_commerce_cloud_contactsid PK · custom fields → flattened columns for chart fields
accountssalesforce_commerce_cloud_accountsid PK · linked to salesforce_commerce_cloud_contacts
dealssalesforce_commerce_cloud_dealsid PK · linked to salesforce_commerce_cloud_contacts
activitiessalesforce_commerce_cloud_activitiesdate dimension columns events

FAQ

How does Datrise handle Salesforce Commerce Cloud'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 Salesforce Commerce Cloud 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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