DatriseAI-first ETL

Top Producer MongoDB

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

How Datrise loads Top Producer into MongoDB

Datrise syncs Top Producer'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

Top Producer: Real estate CRM for leads, listings, and agent follow-up.

MongoDB: Document database for flexible schemas.

How Top Producer entities map to MongoDB

Top Producer entityMongoDB objectNotes
contactstop_producer_contactsid PK · custom fields → native nested documents
accountstop_producer_accountsid PK · linked to top_producer_contacts
dealstop_producer_dealsid PK · linked to top_producer_contacts
activitiestop_producer_activitiesBSON Date events

FAQ

How does Datrise handle Top Producer'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 Top Producer 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

Connect Top Producer to MongoDB the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.