DatriseAI-first ETL

Pinterest Ads DuckDB

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

How Datrise loads Pinterest Ads into DuckDB

Datrise syncs Pinterest Ads's records, events, and configuration objects into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

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

DuckDB: In-process analytics database for fast local OLAP.

How Pinterest Ads entities map to DuckDB

Pinterest Ads entityDuckDB objectNotes
recordspinterest_ads_recordsid PK · custom fields → JSON or STRUCT columns
eventspinterest_ads_eventsTIMESTAMP WITH TIME ZONE events
configuration objectspinterest_ads_configuration_objectsid PK · linked to pinterest_ads_records

FAQ

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

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

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

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

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Early access

Connect Pinterest Ads to DuckDB the easy way

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