DatriseAI-first ETL

Salesforce Commerce Cloud to GoodData Integration

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

How Datrise loads Salesforce Commerce Cloud into GoodData

Datrise syncs Salesforce Commerce Cloud's orders, products, customers, baskets, promotions, and inventory records into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Salesforce Commerce Cloud entities map to GoodData

Salesforce Commerce Cloud entityGoodData objectNotes
orderssalesforce_commerce_cloud_ordersid PK · custom fields → flattened 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 GoodData?

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

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

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

Related pipelines

Early access

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