Salesforce Marketing Cloud to MongoDB Integration
AI-first ETL from Salesforce Marketing Cloud into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Marketing Cloud into MongoDB
Datrise syncs Salesforce Marketing Cloud's subscribers, data extensions, journeys, sends, email events, and lists into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.
Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.
Ideal for document-oriented apps that want CRM data in their existing Mongo store.
Endpoints
Salesforce Marketing Cloud: Enterprise email, journeys, and cross-channel messaging.
MongoDB: Document database for flexible schemas.
How Salesforce Marketing Cloud entities map to MongoDB
| Salesforce Marketing Cloud entity | MongoDB object | Notes |
|---|---|---|
| subscribers | salesforce_marketing_cloud_subscribers | id PK · custom fields → native nested documents |
| 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 MongoDB?
Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.
How does the Salesforce Marketing Cloud to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
Related pipelines
More destinations for Salesforce Marketing Cloud
- Salesforce Marketing Cloud → Supabase
- Salesforce Marketing Cloud → Neon
- Salesforce Marketing Cloud → PlanetScale
- Salesforce Marketing Cloud → Amazon DynamoDB
- Salesforce Marketing Cloud → Looker
- Salesforce Marketing Cloud → Looker Studio
- Salesforce Marketing Cloud → Microsoft Power BI
- Salesforce Marketing Cloud → Tableau
- Salesforce Marketing Cloud → Apache Superset
- Salesforce Marketing Cloud → Metabase
- Salesforce Marketing Cloud → Amazon QuickSight
- Salesforce Marketing Cloud → Domo
Early access
Connect Salesforce Marketing Cloud to MongoDB the easy way
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