DatriseAI-first ETL

Real Geeks to MongoDB Integration

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

How Datrise loads Real Geeks into MongoDB

Datrise syncs Real Geeks's leads, contacts, listings, saved searches, property views, and agent follow-ups 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

Real Geeks: Real estate lead generation sites with an integrated CRM.

MongoDB: Document database for flexible schemas.

How Real Geeks entities map to MongoDB

Real Geeks entityMongoDB objectNotes
leadsreal_geeks_leadsid PK · custom fields → native nested documents
contactsreal_geeks_contactsid PK · linked to real_geeks_leads
listingsreal_geeks_listingsid PK · linked to real_geeks_leads
saved searchesreal_geeks_saved_searchesid PK · linked to real_geeks_leads

FAQ

How does Datrise handle Real Geeks'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 Real Geeks 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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