DatriseAI-first ETL

Autopilot Activities Neon

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

How Datrise loads Autopilot Activities into Neon

Datrise syncs Autopilot Activities's records, events, and configuration objects 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 Activities: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Autopilot Activities entities map to Neon

Autopilot Activities entityNeon objectNotes
recordsautopilot_activities_recordsid PK · custom fields → jsonb columns
eventsautopilot_activities_eventstimestamptz events
configuration objectsautopilot_activities_configuration_objectsid PK · linked to autopilot_activities_records

FAQ

How does Datrise handle Autopilot Activities'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 Activities 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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