DatriseAI-first ETL

Facebook Ads PostgreSQL

AI-first ETL from Facebook Ads into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Facebook Ads into PostgreSQL

Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Facebook Ads: Meta paid social campaigns and performance insights.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Facebook Ads entities map to PostgreSQL

Facebook Ads entityPostgreSQL objectNotes
campaignsfacebook_ads_campaignsid PK · custom fields → jsonb columns
ad setsfacebook_ads_ad_setsid PK · linked to facebook_ads_campaigns
adsfacebook_ads_adsid PK · linked to facebook_ads_campaigns
spendfacebook_ads_spendid PK · linked to facebook_ads_campaigns

FAQ

How does Datrise handle Facebook Ads's custom fields in PostgreSQL?

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

How does the Facebook Ads to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

Connect Facebook Ads to PostgreSQL the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.