Google Analytics 4 to Holistics Integration
AI-first ETL from Google Analytics 4 into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics 4 into Holistics
Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Google Analytics 4: Event-based web and app analytics from Google.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Google Analytics 4 entities map to Holistics
| Google Analytics 4 entity | Holistics object | Notes |
|---|---|---|
| events | ga4_events | date/time 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 Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Google Analytics 4 to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
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- Google Analytics 4 → Snowflake
- Google Analytics 4 → Google BigQuery
More sources for Holistics
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