Salesforce Marketing Cloud → PostgreSQL
AI-first ETL from Salesforce Marketing Cloud into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Marketing Cloud into PostgreSQL
Datrise syncs Salesforce Marketing Cloud's records, events, and configuration objects into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Salesforce Marketing Cloud: SaaS or API data source for analytics and warehouse sync.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Salesforce Marketing Cloud entities map to PostgreSQL
| Salesforce Marketing Cloud entity | PostgreSQL object | Notes |
|---|---|---|
| records | salesforce_marketing_cloud_records | id PK · custom fields → jsonb 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 PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the Salesforce Marketing Cloud to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Salesforce Marketing Cloud
- Salesforce Marketing Cloud → MySQL
- Salesforce Marketing Cloud → Microsoft SQL Server
- Salesforce Marketing Cloud → Oracle Database
- Salesforce Marketing Cloud → Snowflake
- Salesforce Marketing Cloud → Google BigQuery
- Salesforce Marketing Cloud → Amazon Redshift
- 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
Early access
Connect Salesforce Marketing Cloud to PostgreSQL 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.