Salesforce Marketing Cloud → Amazon Redshift
AI-first ETL from Salesforce Marketing Cloud into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Marketing Cloud into Amazon Redshift
Datrise syncs Salesforce Marketing Cloud's records, events, and configuration objects 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 Marketing Cloud: SaaS or API data source for analytics and warehouse sync.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Salesforce Marketing Cloud entities map to Amazon Redshift
| Salesforce Marketing Cloud entity | Amazon Redshift object | Notes |
|---|---|---|
| records | salesforce_marketing_cloud_records | id PK · custom fields → SUPER columns |
| events | salesforce_marketing_cloud_events | TIMESTAMPTZ events |
| configuration objects | salesforce_marketing_cloud_configuration_objects | id PK · linked to salesforce_marketing_cloud_records |
FAQ
How does Datrise handle Salesforce Marketing 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 Marketing 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 Marketing Cloud
- Salesforce Marketing Cloud → Databricks SQL Warehouse
- Salesforce Marketing Cloud → ClickHouse
- Salesforce Marketing Cloud → DuckDB
- Salesforce Marketing Cloud → Amazon Athena
- Salesforce Marketing Cloud → Amazon S3 Data Lake
- Salesforce Marketing Cloud → Azure Data Lake Storage
- Salesforce Marketing Cloud → Azure Synapse
- Salesforce Marketing Cloud → Spreadsheets
- Salesforce Marketing Cloud → Airtable
- Salesforce Marketing Cloud → CSV Files
- Salesforce Marketing Cloud → MongoDB
- Salesforce Marketing Cloud → Supabase
More sources for Amazon Redshift
- Sap Fieldglass → Amazon Redshift
- Secoda → Amazon Redshift
- Selligent → Amazon Redshift
- Sendgrid Core → Amazon Redshift
- Sendinblue → Amazon Redshift
- Sendwithus → Amazon Redshift
- Senseforce → Amazon Redshift
- Sentry → Amazon Redshift
- Sftp Bulk → Amazon Redshift
- Shiphero → Amazon Redshift
- Shippo → Amazon Redshift
- Shopify Byoa → Amazon Redshift
Early access
Connect Salesforce Marketing 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.