DatriseAI-first ETL

Pinterest Ads Neon

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

How Datrise loads Pinterest Ads into Neon

Datrise syncs Pinterest Ads's records, events, and configuration objects into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Pinterest Ads: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Pinterest Ads entities map to Neon

Pinterest Ads entityNeon objectNotes
recordspinterest_ads_recordsid PK · custom fields → jsonb columns
eventspinterest_ads_eventstimestamptz events
configuration objectspinterest_ads_configuration_objectsid PK · linked to pinterest_ads_records

FAQ

How does Datrise handle Pinterest Ads's custom fields in Neon?

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 Neon types.

How does the Pinterest Ads to Neon sync stay up to date?

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

Related pipelines

Early access

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