DatriseAI-first ETL

Vincere Neon

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

How Datrise loads Vincere into Neon

Datrise syncs Vincere's contacts, accounts, deals, activities, and lifecycle events 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

Vincere: Recruiting CRM/ATS for candidates, pipelines, and placements.

Neon: Serverless Postgres destination with branching and autoscaling.

How Vincere entities map to Neon

Vincere entityNeon objectNotes
contactsvincere_contactsid PK · custom fields → jsonb columns
accountsvincere_accountsid PK · linked to vincere_contacts
dealsvincere_dealsid PK · linked to vincere_contacts
activitiesvincere_activitiestimestamptz events

FAQ

How does Datrise handle Vincere'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 Vincere 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

Early access

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