Google Analytics 360 → Google BigQuery
AI-first ETL from Google Analytics 360 into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics 360 into Google BigQuery
Datrise syncs Google Analytics 360's records, events, and configuration objects 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 Analytics 360: SaaS or API data source for analytics and warehouse sync.
Google BigQuery: Serverless analytics warehouse on GCP.
How Google Analytics 360 entities map to Google BigQuery
| Google Analytics 360 entity | Google BigQuery object | Notes |
|---|---|---|
| records | google_analytics_360_records | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| events | google_analytics_360_events | TIMESTAMP events |
| configuration objects | google_analytics_360_configuration_objects | id PK · linked to google_analytics_360_records |
FAQ
How does Datrise handle Google Analytics 360'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 Analytics 360 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 Analytics 360
- Google Analytics 360 → Amazon Redshift
- Google Analytics 360 → Databricks SQL Warehouse
- Google Analytics 360 → ClickHouse
- Google Analytics 360 → DuckDB
- Google Analytics 360 → Amazon Athena
- Google Analytics 360 → Amazon S3 Data Lake
- Google Analytics 360 → Azure Data Lake Storage
- Google Analytics 360 → Azure Synapse
- Google Analytics 360 → Spreadsheets
- Google Analytics 360 → Airtable
- Google Analytics 360 → CSV Files
- Google Analytics 360 → MongoDB
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- Google Cloud SQL Postgresql → Google BigQuery
- Google Cloud Storage F → Google BigQuery
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- Google Pagespeed Insights → Google BigQuery
- Google Webfonts → Google BigQuery
- Greenhouse → Google BigQuery
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- Harness → Google BigQuery
- Harvest Forecast → Google BigQuery
Early access
Connect Google Analytics 360 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.