DatriseAI-first ETL

Meta Ads Oracle Database

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

How Datrise loads Meta Ads into Oracle Database

Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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

Meta Ads: Facebook and Instagram ad source for spend and engagement.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Meta Ads entities map to Oracle Database

Meta Ads entityOracle Database objectNotes
campaign spendmeta_ads_campaign_spendid PK · custom fields → JSON or CLOB columns
impressionsmeta_ads_impressionsid PK · linked to meta_ads_campaign_spend
clicksmeta_ads_clicksid PK · linked to meta_ads_campaign_spend
conversionsmeta_ads_conversionsid PK · linked to meta_ads_campaign_spend

FAQ

How does Datrise handle Meta 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 Meta Ads to Oracle Database sync stay up to date?

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

Related pipelines

Early access

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