Google Ads → Google BigQuery
AI-first ETL from Google Ads into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Ads into Google BigQuery
Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals 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
Google Ads: Paid media source for campaign and conversion metrics.
Google BigQuery: Serverless analytics warehouse on GCP.
How Google Ads entities map to Google BigQuery
| Google Ads entity | Google BigQuery object | Notes |
|---|---|---|
| campaigns | google_ads_campaigns | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| ad groups | google_ads_ad_groups | id PK · linked to google_ads_campaigns |
| spend | google_ads_spend | id PK · linked to google_ads_campaigns |
| clicks | google_ads_clicks | id PK · linked to google_ads_campaigns |
FAQ
How does Datrise handle Google 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 Google 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 Google Ads
- Google Ads → Amazon Redshift
- Google Ads → Databricks SQL Warehouse
- Google Ads → ClickHouse
- Google Ads → DuckDB
- Google Ads → Amazon Athena
- Google Ads → Amazon S3 Data Lake
- Google Ads → Azure Data Lake Storage
- Google Ads → Azure Synapse
- Google Ads → Spreadsheets
- Google Ads → Airtable
- Google Ads → CSV Files
- Google Ads → MongoDB
More sources for Google BigQuery
- Google Analytics → Google BigQuery
- Twitter/X Ads → Google BigQuery
- LinkedIn Ads → Google BigQuery
- Meta Ads → Google BigQuery
- SAP → Google BigQuery
- Amplitude → Google BigQuery
- MoEngage → Google BigQuery
- Auth0 → Google BigQuery
- Attio → Google BigQuery
- Bigin by Zoho → Google BigQuery
- BambooHR → Google BigQuery
- Workday → Google BigQuery
Early access
Connect Google 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.