Salesforce Commerce Cloud → Amazon Redshift
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 contacts, accounts, deals, activities, and lifecycle events 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: Enterprise CRM for complex sales, service, and revenue operations.
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 |
|---|---|---|
| contacts | salesforce_commerce_cloud_contacts | id PK · custom fields → SUPER columns |
| accounts | salesforce_commerce_cloud_accounts | id PK · linked to salesforce_commerce_cloud_contacts |
| deals | salesforce_commerce_cloud_deals | id PK · linked to salesforce_commerce_cloud_contacts |
| activities | salesforce_commerce_cloud_activities | TIMESTAMPTZ events |
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
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.