DatriseAI-first ETL

Plausible to PostgreSQL Integration

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

How Datrise loads Plausible into PostgreSQL

Datrise syncs Plausible's pageviews, visitors, sessions, referral sources, goals, and page paths into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Plausible: Privacy-friendly website traffic analytics.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Plausible entities map to PostgreSQL

Plausible entityPostgreSQL 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 PostgreSQL?

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 PostgreSQL types.

How does the Plausible to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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