Salesforce Commerce Cloud to Snowflake Integration
AI-first ETL from Salesforce Commerce Cloud into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Commerce Cloud into Snowflake
Datrise syncs Salesforce Commerce Cloud's orders, products, customers, baskets, promotions, and inventory records into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.
Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.
Ideal for central analytics warehouses feeding BI and AI workloads.
Endpoints
Salesforce Commerce Cloud: Salesforce storefront, catalog, and order management.
Snowflake: Cloud data warehouse with separated compute and storage.
How Salesforce Commerce Cloud entities map to Snowflake
| Salesforce Commerce Cloud entity | Snowflake object | Notes |
|---|---|---|
| orders | salesforce_commerce_cloud_orders | id PK · custom fields → VARIANT 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 Snowflake?
Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.
How does the Salesforce Commerce Cloud to Snowflake sync stay up to date?
It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.
Related pipelines
More destinations for Salesforce Commerce Cloud
- Salesforce Commerce Cloud → Google BigQuery
- Salesforce Commerce Cloud → Amazon Redshift
- Salesforce Commerce Cloud → Databricks SQL Warehouse
- 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
Early access
Connect Salesforce Commerce Cloud to Snowflake the easy way
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