DatriseAI-first ETL

Salesforce Commerce Cloud to Chartio Integration

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

How Datrise loads Salesforce Commerce Cloud into Chartio

Datrise syncs Salesforce Commerce Cloud's orders, products, customers, baskets, promotions, and inventory records into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

Salesforce Commerce Cloud: Salesforce storefront, catalog, and order management.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Salesforce Commerce Cloud entities map to Chartio

Salesforce Commerce Cloud entityChartio objectNotes
orderssalesforce_commerce_cloud_ordersid PK · custom fields → flattened columns for visual SQL
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 Chartio?

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

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

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

Related pipelines

Early access

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