Google Analytics 4 to Tableau Integration

How Datrise loads Google Analytics 4 into Tableau

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

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

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Google Analytics 4 entities map to Tableau

Google Analytics 4 entity	Tableau object	Notes
events	`ga4_events`	date/datetime fields events
users	`ga4_users`	id PK · linked to ga4_events
sessions	`ga4_sessions`	id PK · linked to ga4_events
traffic sources	`ga4_traffic_sources`	id PK · linked to ga4_events

FAQ

How does Datrise handle Google Analytics 4's custom fields in Tableau?

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

How does the Google Analytics 4 to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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