DatriseAI-first ETL

Autopilot to Neon Integration

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

How Datrise loads Autopilot into Neon

Datrise syncs Autopilot's contacts, journeys, lists, email events, triggers, and custom fields 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

Autopilot: Visual marketing automation and customer journeys.

Neon: Serverless Postgres destination with branching and autoscaling.

How Autopilot entities map to Neon

Autopilot entityNeon objectNotes
contactsautopilot_contactsid PK · custom fields → jsonb columns
journeysautopilot_journeysid PK · linked to autopilot_contacts
listsautopilot_listsid PK · linked to autopilot_contacts
email eventsautopilot_email_eventstimestamptz events

FAQ

How does Datrise handle Autopilot'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 Autopilot 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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