DatriseAI-first ETL

Google Analytics 4 to Qlik Integration

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

How Datrise loads Google Analytics 4 into Qlik

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.

Ideal for associative, in-memory exploration in Qlik Sense.

Endpoints

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

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How Google Analytics 4 entities map to Qlik

Google Analytics 4 entityQlik 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 Qlik?

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

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

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

Related pipelines

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