DatriseAI-first ETL

Plausible to Neon Integration

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

How Datrise loads Plausible into Neon

Datrise syncs Plausible's pageviews, visitors, sessions, referral sources, goals, and page paths 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

Plausible: Privacy-friendly website traffic analytics.

Neon: Serverless Postgres destination with branching and autoscaling.

How Plausible entities map to Neon

Plausible entityNeon objectNotes
pageviewsplausible_pageviewsid PK · custom fields → jsonb columns
visitorsplausible_visitorsid PK · linked to plausible_pageviews
sessionsplausible_sessionsid PK · linked to plausible_pageviews
referral sourcesplausible_referral_sourcesid PK · linked to plausible_pageviews

FAQ

How does Datrise handle Plausible'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 Plausible 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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