DatriseAI-first ETL

Freshsales Neon

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

How Datrise loads Freshsales into Neon

Datrise syncs Freshsales's leads, contacts, deals, calls, and email activity telemetry 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

Freshsales: CRM by Freshworks with built-in phone and email.

Neon: Serverless Postgres destination with branching and autoscaling.

How Freshsales entities map to Neon

Freshsales entityNeon objectNotes
leadsfreshsales_leadsid PK · custom fields → jsonb columns
contactsfreshsales_contactsid PK · linked to freshsales_leads
dealsfreshsales_dealsid PK · linked to freshsales_leads
callsfreshsales_callsid PK · linked to freshsales_leads

FAQ

How does Datrise handle Freshsales'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 Freshsales 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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