Salesforce Commerce Cloud to Amazon Redshift Integration
AI-first ETL from Salesforce Commerce Cloud into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Commerce Cloud into Amazon Redshift
Datrise syncs Salesforce Commerce Cloud's orders, products, customers, baskets, promotions, and inventory records into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.
Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.
Ideal for AWS-native warehouses already using the Redshift ecosystem.
Endpoints
Salesforce Commerce Cloud: Salesforce storefront, catalog, and order management.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Salesforce Commerce Cloud entities map to Amazon Redshift
| Salesforce Commerce Cloud entity | Amazon Redshift object | Notes |
|---|---|---|
| orders | salesforce_commerce_cloud_orders | id PK · custom fields → SUPER 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 Amazon Redshift?
Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.
How does the Salesforce Commerce Cloud to Amazon Redshift sync stay up to date?
It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.
Related pipelines
More destinations for Salesforce Commerce Cloud
- 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
- Salesforce Commerce Cloud → MongoDB
- Salesforce Commerce Cloud → Supabase
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Early access
Connect Salesforce Commerce Cloud to Amazon Redshift the easy way
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