DatriseAI-first ETL

Google Analytics 4 to Spotfire Integration

AI-first ETL from Google Analytics 4 into Spotfire. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics 4 into Spotfire

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences 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

Google Analytics 4: Event-based web and app analytics from Google.

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

How Google Analytics 4 entities map to Spotfire

Google Analytics 4 entitySpotfire objectNotes
eventsga4_eventsdate/time columns events
usersga4_usersid PK · linked to ga4_events
sessionsga4_sessionsid PK · linked to ga4_events
traffic sourcesga4_traffic_sourcesid PK · linked to ga4_events

FAQ

How does Datrise handle Google Analytics 4'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 Google Analytics 4 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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