DatriseAI-first ETL

Salesforce Commerce Cloud Mode

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

How Datrise loads Salesforce Commerce Cloud into Mode

Datrise syncs Salesforce Commerce Cloud's contacts, accounts, deals, activities, and lifecycle events into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

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

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Salesforce Commerce Cloud entities map to Mode

Salesforce Commerce Cloud entityMode objectNotes
contactssalesforce_commerce_cloud_contactsid PK · custom fields → flattened columns for SQL and notebooks
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_activitiestemporal columns events

FAQ

How does Datrise handle Salesforce Commerce Cloud's custom fields in Mode?

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

How does the Salesforce Commerce Cloud to Mode sync stay up to date?

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

Related pipelines

Early access

Connect Salesforce Commerce Cloud to Mode the easy way

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