DatriseAI-first ETL

Salesforce NPSP MongoDB

AI-first ETL from Salesforce NPSP into MongoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce NPSP into MongoDB

Datrise syncs Salesforce NPSP's contacts, accounts, deals, activities, and lifecycle events 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 NPSP: Nonprofit CRM for donors, campaigns, and stewardship.

MongoDB: Document database for flexible schemas.

How Salesforce NPSP entities map to MongoDB

Salesforce NPSP entityMongoDB objectNotes
contactssalesforce_npsp_contactsid PK · custom fields → native nested documents
accountssalesforce_npsp_accountsid PK · linked to salesforce_npsp_contacts
dealssalesforce_npsp_dealsid PK · linked to salesforce_npsp_contacts
activitiessalesforce_npsp_activitiesBSON Date events

FAQ

How does Datrise handle Salesforce NPSP'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 NPSP 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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