DatriseAI-first ETL

Salesforce Commerce Cloud to Sisense Integration

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

How Datrise loads Salesforce Commerce Cloud into Sisense

Datrise syncs Salesforce Commerce Cloud's orders, products, customers, baskets, promotions, and inventory records into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.

Ideal for embedded analytics on an in-memory engine.

Endpoints

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

Sisense: Analytics platform with elastic data models and embedded analytics.

How Salesforce Commerce Cloud entities map to Sisense

Salesforce Commerce Cloud entitySisense objectNotes
orderssalesforce_commerce_cloud_ordersid PK · custom fields → flattened columns for the cube
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 Sisense?

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

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

It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.

Related pipelines

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