Marketo Bulk to MongoDB Integration

How Datrise loads Marketo Bulk into MongoDB

Datrise syncs Marketo Bulk's leads, activities, program memberships, email events, lists, and custom 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

Marketo Bulk: Bulk export of Marketo lead and activity history.

MongoDB: Document database for flexible schemas.

How Marketo Bulk entities map to MongoDB

Marketo Bulk entity	MongoDB object	Notes
leads	`marketo_bulk_leads`	id PK · custom fields → native nested documents
activities	`marketo_bulk_activities`	BSON Date events
program memberships	`marketo_bulk_program_memberships`	id PK · linked to marketo_bulk_leads
email events	`marketo_bulk_email_events`	BSON Date events

FAQ

How does Datrise handle Marketo Bulk'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 Marketo Bulk 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

Early access

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