Facebook Ads → Google BigQuery
AI-first ETL from Facebook Ads into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Facebook Ads into Google BigQuery
Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics 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
Facebook Ads: Meta paid social campaigns and performance insights.
Google BigQuery: Serverless analytics warehouse on GCP.
How Facebook Ads entities map to Google BigQuery
| Facebook Ads entity | Google BigQuery object | Notes |
|---|---|---|
| campaigns | facebook_ads_campaigns | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| ad sets | facebook_ads_ad_sets | id PK · linked to facebook_ads_campaigns |
| ads | facebook_ads_ads | id PK · linked to facebook_ads_campaigns |
| spend | facebook_ads_spend | id PK · linked to facebook_ads_campaigns |
FAQ
How does Datrise handle Facebook 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 Facebook 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 Facebook Ads
- Facebook Ads → Amazon Redshift
- Facebook Ads → Databricks SQL Warehouse
- Facebook Ads → ClickHouse
- Facebook Ads → DuckDB
- Facebook Ads → Amazon Athena
- Facebook Ads → Amazon S3 Data Lake
- Facebook Ads → Azure Data Lake Storage
- Facebook Ads → Azure Synapse
- Facebook Ads → Spreadsheets
- Facebook Ads → Airtable
- Facebook Ads → CSV Files
- Facebook Ads → MongoDB
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Early access
Connect Facebook 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.