Salesforce Marketing Cloud → MongoDB

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 records, events, and configuration objects 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: SaaS or API data source for analytics and warehouse sync.

MongoDB: Document database for flexible schemas.

How Salesforce Marketing Cloud entities map to MongoDB

Salesforce Marketing Cloud entity	MongoDB object	Notes
records	`salesforce_marketing_cloud_records`	id PK · custom fields → native nested documents
events	`salesforce_marketing_cloud_events`	BSON Date 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 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

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