Google Analytics 4 to Chartio Integration

How Datrise loads Google Analytics 4 into Chartio

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

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

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Google Analytics 4 entities map to Chartio

Google Analytics 4 entity	Chartio object	Notes
events	`ga4_events`	temporal columns 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 Chartio?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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