Google Analytics 4 to GoodData Integration
AI-first ETL from Google Analytics 4 into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics 4 into GoodData
Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Google Analytics 4: Event-based web and app analytics from Google.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Google Analytics 4 entities map to GoodData
| Google Analytics 4 entity | GoodData object | Notes |
|---|---|---|
| events | ga4_events | date dimensions 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 GoodData?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native GoodData types.
How does the Google Analytics 4 to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
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