DatriseAI-first ETL

Meta Ads PostgreSQL

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

How Datrise loads Meta Ads into PostgreSQL

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

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

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

How Meta Ads entities map to PostgreSQL

Meta Ads entityPostgreSQL objectNotes
campaign spendmeta_ads_campaign_spendid PK · custom fields → jsonb 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 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 Meta 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 Meta Ads to PostgreSQL the easy way

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