DatriseAI-first ETL

Google Analytics 4 to Amazon QuickSight Integration

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

How Datrise loads Google Analytics 4 into Amazon QuickSight

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

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

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Google Analytics 4 entities map to Amazon QuickSight

Google Analytics 4 entityAmazon QuickSight objectNotes
eventsga4_eventsdate/time fields 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 Amazon QuickSight?

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

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

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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