DatriseAI-first ETL

Bigin by Zoho MongoDB

AI-first ETL from Bigin by Zoho into MongoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Bigin by Zoho into MongoDB

Datrise syncs Bigin by Zoho's SMB leads, contacts, deals, and day-to-day activity tracking 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

Bigin by Zoho: SMB CRM source for leads, deals, and activity tracking.

MongoDB: Document database for flexible schemas.

How Bigin by Zoho entities map to MongoDB

Bigin by Zoho entityMongoDB objectNotes
SMB leadsbigin_by_zoho_smb_leadsid PK · custom fields → native nested documents
contactsbigin_by_zoho_contactsid PK · linked to bigin_by_zoho_smb_leads
dealsbigin_by_zoho_dealsid PK · linked to bigin_by_zoho_smb_leads
day-to-day activity trackingbigin_by_zoho_day_to_day_activity_trackingBSON Date events

FAQ

How does Datrise handle Bigin by Zoho'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 Bigin by Zoho 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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