Salesforce Commerce Cloud to Databricks SQL Warehouse Integration
AI-first ETL from Salesforce Commerce Cloud into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Commerce Cloud into Databricks SQL Warehouse
Datrise syncs Salesforce Commerce Cloud's orders, products, customers, baskets, promotions, and inventory records into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.
Ideal for lakehouse analytics and ML feature tables on Databricks.
Endpoints
Salesforce Commerce Cloud: Salesforce storefront, catalog, and order management.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Salesforce Commerce Cloud entities map to Databricks SQL Warehouse
| Salesforce Commerce Cloud entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| orders | salesforce_commerce_cloud_orders | id PK · custom fields → VARIANT or STRUCT columns |
| products | salesforce_commerce_cloud_products | id PK · linked to salesforce_commerce_cloud_orders |
| customers | salesforce_commerce_cloud_customers | id PK · linked to salesforce_commerce_cloud_orders |
| baskets | salesforce_commerce_cloud_baskets | id PK · linked to salesforce_commerce_cloud_orders |
FAQ
How does Datrise handle Salesforce Commerce Cloud's custom fields in Databricks SQL Warehouse?
Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.
How does the Salesforce Commerce Cloud to Databricks SQL Warehouse sync stay up to date?
It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.
Related pipelines
More destinations for Salesforce Commerce Cloud
- Salesforce Commerce Cloud → ClickHouse
- Salesforce Commerce Cloud → DuckDB
- Salesforce Commerce Cloud → Amazon Athena
- Salesforce Commerce Cloud → Amazon S3 Data Lake
- Salesforce Commerce Cloud → Azure Data Lake Storage
- Salesforce Commerce Cloud → Azure Synapse
- Salesforce Commerce Cloud → Spreadsheets
- Salesforce Commerce Cloud → Airtable
- Salesforce Commerce Cloud → CSV Files
- Salesforce Commerce Cloud → MongoDB
- Salesforce Commerce Cloud → Supabase
- Salesforce Commerce Cloud → Neon
More sources for Databricks SQL Warehouse
- Salesforce Service Cloud → Databricks SQL Warehouse
- Less Annoying CRM → Databricks SQL Warehouse
- Streak → Databricks SQL Warehouse
- Apptivo → Databricks SQL Warehouse
- folk → Databricks SQL Warehouse
- Clay → Databricks SQL Warehouse
- Day.ai → Databricks SQL Warehouse
- Twenty CRM → Databricks SQL Warehouse
- Maximizer CRM → Databricks SQL Warehouse
- Method:CRM → Databricks SQL Warehouse
- EngageBay → Databricks SQL Warehouse
- Megaplan → Databricks SQL Warehouse
Early access
Connect Salesforce Commerce Cloud to Databricks SQL Warehouse the easy way
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