DatriseAI-first ETL

Google Ads Oracle Database

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

How Datrise loads Google Ads into Oracle Database

Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals 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 Ads: Paid media source for campaign and conversion metrics.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Google Ads entities map to Oracle Database

Google Ads entityOracle Database objectNotes
campaignsgoogle_ads_campaignsid PK · custom fields → JSON or CLOB columns
ad groupsgoogle_ads_ad_groupsid PK · linked to google_ads_campaigns
spendgoogle_ads_spendid PK · linked to google_ads_campaigns
clicksgoogle_ads_clicksid PK · linked to google_ads_campaigns

FAQ

How does Datrise handle Google Ads'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 Ads 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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