DatriseAI-first ETL

RD Station CRM MongoDB

AI-first ETL from RD Station CRM into MongoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads RD Station CRM into MongoDB

Datrise syncs RD Station CRM'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

RD Station CRM: CRM widely used in Latin America for sales pipeline and customer ops.

MongoDB: Document database for flexible schemas.

How RD Station CRM entities map to MongoDB

RD Station CRM entityMongoDB objectNotes
contactsrd_station_crm_contactsid PK · custom fields → native nested documents
accountsrd_station_crm_accountsid PK · linked to rd_station_crm_contacts
dealsrd_station_crm_dealsid PK · linked to rd_station_crm_contacts
activitiesrd_station_crm_activitiesBSON Date events

FAQ

How does Datrise handle RD Station CRM'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 RD Station CRM 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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