DatriseAI-first ETL

Google Analytics 360 Oracle Database

AI-first ETL from Google Analytics 360 into Oracle Database. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics 360 into Oracle Database

Datrise syncs Google Analytics 360's records, events, and configuration objects 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 360: SaaS or API data source for analytics and warehouse sync.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Google Analytics 360 entities map to Oracle Database

Google Analytics 360 entityOracle Database objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → JSON or CLOB columns
eventsgoogle_analytics_360_eventsTIMESTAMP WITH TIME ZONE events
configuration objectsgoogle_analytics_360_configuration_objectsid PK · linked to google_analytics_360_records

FAQ

How does Datrise handle Google Analytics 360'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 360 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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