DatriseAI-first ETL

Pinterest Ads to PostgreSQL Integration

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

How Datrise loads Pinterest Ads into PostgreSQL

Datrise syncs Pinterest Ads's campaigns, ad groups, pin promotions, spend, impressions, and conversions 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

Pinterest Ads: Paid pin campaigns and shopping performance.

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

How Pinterest Ads entities map to PostgreSQL

Pinterest Ads entityPostgreSQL objectNotes
campaignspinterest_ads_campaignsid PK · custom fields → jsonb columns
ad groupspinterest_ads_ad_groupsid PK · linked to pinterest_ads_campaigns
pin promotionspinterest_ads_pin_promotionsid PK · linked to pinterest_ads_campaigns
spendpinterest_ads_spendid PK · linked to pinterest_ads_campaigns

FAQ

How does Datrise handle Pinterest 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 Pinterest 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

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