Salesforce Marketing Cloud to Snowflake Integration
AI-first ETL from Salesforce Marketing Cloud into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Marketing Cloud into Snowflake
Datrise syncs Salesforce Marketing Cloud's subscribers, data extensions, journeys, sends, email events, and lists 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 Marketing Cloud: Enterprise email, journeys, and cross-channel messaging.
Snowflake: Cloud data warehouse with separated compute and storage.
How Salesforce Marketing Cloud entities map to Snowflake
| Salesforce Marketing Cloud entity | Snowflake object | Notes |
|---|---|---|
| subscribers | salesforce_marketing_cloud_subscribers | id PK · custom fields → VARIANT columns |
| data extensions | salesforce_marketing_cloud_data_extensions | id PK · linked to salesforce_marketing_cloud_subscribers |
| journeys | salesforce_marketing_cloud_journeys | id PK · linked to salesforce_marketing_cloud_subscribers |
| sends | salesforce_marketing_cloud_sends | id PK · linked to salesforce_marketing_cloud_subscribers |
FAQ
How does Datrise handle Salesforce Marketing 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 Marketing 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 Marketing Cloud
- 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
- Salesforce Marketing Cloud → Azure Synapse
- Salesforce Marketing Cloud → Spreadsheets
- Salesforce Marketing Cloud → Airtable
- Salesforce Marketing Cloud → CSV Files
Early access
Connect Salesforce Marketing Cloud to Snowflake the easy way
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