Pinterest Ads to Google BigQuery Integration
AI-first ETL from Pinterest Ads into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pinterest Ads into Google BigQuery
Datrise syncs Pinterest Ads's campaigns, ad groups, pin promotions, spend, impressions, and conversions into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
Pinterest Ads: Paid pin campaigns and shopping performance.
Google BigQuery: Serverless analytics warehouse on GCP.
How Pinterest Ads entities map to Google BigQuery
| Pinterest Ads entity | Google BigQuery object | Notes |
|---|---|---|
| campaigns | pinterest_ads_campaigns | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| ad groups | pinterest_ads_ad_groups | id PK · linked to pinterest_ads_campaigns |
| pin promotions | pinterest_ads_pin_promotions | id PK · linked to pinterest_ads_campaigns |
| spend | pinterest_ads_spend | id PK · linked to pinterest_ads_campaigns |
FAQ
How does Datrise handle Pinterest Ads's custom fields in Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the Pinterest Ads to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
More destinations for Pinterest Ads
- Pinterest Ads → Amazon Redshift
- Pinterest Ads → Databricks SQL Warehouse
- Pinterest Ads → ClickHouse
- Pinterest Ads → DuckDB
- Pinterest Ads → Amazon Athena
- Pinterest Ads → Amazon S3 Data Lake
- Pinterest Ads → Azure Data Lake Storage
- Pinterest Ads → Azure Synapse
- Pinterest Ads → Spreadsheets
- Pinterest Ads → Airtable
- Pinterest Ads → CSV Files
- Pinterest Ads → MongoDB
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Early access
Connect Pinterest Ads to Google BigQuery 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.