DatriseAI-first ETL

Plausible to Spotfire Integration

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

How Datrise loads Plausible into Spotfire

Datrise syncs Plausible's pageviews, visitors, sessions, referral sources, goals, and page paths into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

Plausible: Privacy-friendly website traffic analytics.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Plausible entities map to Spotfire

Plausible entitySpotfire objectNotes
pageviewsplausible_pageviewsid PK · custom fields → flattened columns for visualizations
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 Spotfire?

Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.

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

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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