DatriseAI-first ETL

Salesforce Commerce Cloud to Apache Superset Integration

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 orders, products, customers, baskets, promotions, and inventory records 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: Salesforce storefront, catalog, and order management.

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
orderssalesforce_commerce_cloud_ordersid PK · custom fields → flattened columns for the explore UI
productssalesforce_commerce_cloud_productsid PK · linked to salesforce_commerce_cloud_orders
customerssalesforce_commerce_cloud_customersid PK · linked to salesforce_commerce_cloud_orders
basketssalesforce_commerce_cloud_basketsid PK · linked to salesforce_commerce_cloud_orders

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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