DatriseAI-first ETL

Merge to Neon Integration

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

How Datrise loads Merge into Neon

Datrise syncs Merge's linked accounts, employees, candidates, contacts, invoices, and sync statuses 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

Merge: Unified API across HR, CRM, and accounting tools.

Neon: Serverless Postgres destination with branching and autoscaling.

How Merge entities map to Neon

Merge entityNeon objectNotes
linked accountsmerge_linked_accountsid PK · custom fields → jsonb columns
employeesmerge_employeesid PK · linked to merge_linked_accounts
candidatesmerge_candidatesid PK · linked to merge_linked_accounts
contactsmerge_contactsid PK · linked to merge_linked_accounts

FAQ

How does Datrise handle Merge'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 Merge 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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