DatriseAI-first ETL

Bigin by Zoho Neon

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

How Datrise loads Bigin by Zoho into Neon

Datrise syncs Bigin by Zoho's SMB leads, contacts, deals, and day-to-day activity tracking into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

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

Neon: Serverless Postgres destination with branching and autoscaling.

How Bigin by Zoho entities map to Neon

Bigin by Zoho entityNeon objectNotes
SMB leadsbigin_by_zoho_smb_leadsid PK · custom fields → jsonb columns
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_trackingtimestamptz events

FAQ

How does Datrise handle Bigin by Zoho's custom fields in Neon?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.

How does the Bigin by Zoho to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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