Zoho CRM → MongoDB
AI-first ETL from Zoho CRM into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zoho CRM into MongoDB
Datrise syncs Zoho CRM's leads, contacts, accounts, deals, and workflow-driven field changes 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
Zoho CRM: Modular CRM with strong automation and telephony.
MongoDB: Document database for flexible schemas.
How Zoho CRM entities map to MongoDB
| Zoho CRM entity | MongoDB object | Notes |
|---|---|---|
| leads | zoho_crm_leads | id PK · custom fields → native nested documents |
| contacts | zoho_crm_contacts | id PK · linked to zoho_crm_leads |
| accounts | zoho_crm_accounts | id PK · linked to zoho_crm_leads |
| deals | zoho_crm_deals | id PK · linked to zoho_crm_leads |
FAQ
How does Datrise handle Zoho 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 Zoho 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.
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