DatriseAI-first ETL

Follow Up Boss MongoDB

AI-first ETL from Follow Up Boss into MongoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Follow Up Boss into MongoDB

Datrise syncs Follow Up Boss'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

Follow Up Boss: Real estate CRM for leads, listings, and agent follow-up.

MongoDB: Document database for flexible schemas.

How Follow Up Boss entities map to MongoDB

Follow Up Boss entityMongoDB objectNotes
contactsfollow_up_boss_contactsid PK · custom fields → native nested documents
accountsfollow_up_boss_accountsid PK · linked to follow_up_boss_contacts
dealsfollow_up_boss_dealsid PK · linked to follow_up_boss_contacts
activitiesfollow_up_boss_activitiesBSON Date events

FAQ

How does Datrise handle Follow Up Boss'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 Follow Up Boss 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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