DatriseAI-first ETL

Salesforce Commerce Cloud to Microsoft SQL Server Integration

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

How Datrise loads Salesforce Commerce Cloud into Microsoft SQL Server

Datrise syncs Salesforce Commerce Cloud's orders, products, customers, baskets, promotions, and inventory records into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

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

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Salesforce Commerce Cloud entities map to Microsoft SQL Server

Salesforce Commerce Cloud entityMicrosoft SQL Server objectNotes
orderssalesforce_commerce_cloud_ordersid PK · custom fields → NVARCHAR(MAX) JSON columns
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 Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Salesforce Commerce Cloud to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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