DatriseAI-first ETL

Google Analytics 4 to Oracle Database Integration

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

How Datrise loads Google Analytics 4 into Oracle Database

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

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

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Google Analytics 4 entities map to Oracle Database

Google Analytics 4 entityOracle Database objectNotes
eventsga4_eventsTIMESTAMP WITH TIME ZONE 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 Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

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