DatriseAI-first ETL

Salesforce Commerce Cloud Apache Superset

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

How Datrise loads Salesforce Commerce Cloud into Apache Superset

Datrise syncs Salesforce Commerce Cloud's contacts, accounts, deals, activities, and lifecycle events into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

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

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Salesforce Commerce Cloud entities map to Apache Superset

Salesforce Commerce Cloud entityApache Superset objectNotes
contactssalesforce_commerce_cloud_contactsid PK · custom fields → flattened columns for the explore UI
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 for time-series charts events

FAQ

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

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

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

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

Related pipelines

Early access

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