Bitrix24 → MongoDB
AI-first ETL from Bitrix24 into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bitrix24 into MongoDB
Datrise syncs Bitrix24's leads, deals, contacts, companies, activities, and contact-center 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
Bitrix24: CRM, contact center, and task automation suite.
MongoDB: Document database for flexible schemas.
How Bitrix24 entities map to MongoDB
| Bitrix24 entity | MongoDB object | Notes |
|---|---|---|
| leads | bitrix24_leads | id PK · custom fields → native nested documents |
| deals | bitrix24_deals | id PK · linked to bitrix24_leads |
| contacts | bitrix24_contacts | id PK · linked to bitrix24_leads |
| companies | bitrix24_companies | id PK · linked to bitrix24_leads |
FAQ
How does Datrise handle Bitrix24'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 Bitrix24 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
More destinations for Bitrix24
Early access
Connect Bitrix24 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.