Google Analytics → Google BigQuery

AI-first ETL from Google Analytics into Google BigQuery. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics into Google BigQuery

Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts 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: Web and product analytics for behavior and traffic insights.

Google BigQuery: Serverless analytics warehouse on GCP.

How Google Analytics entities map to Google BigQuery

Google Analytics entity	Google BigQuery object	Notes
sessions	`google_analytics_sessions`	id PK · custom fields → JSON or nested/repeated (STRUCT) columns
events	`google_analytics_events`	TIMESTAMP events
channels	`google_analytics_channels`	id PK · linked to google_analytics_sessions
conversions	`google_analytics_conversions`	id PK · linked to google_analytics_sessions

FAQ

How does Datrise handle Google Analytics'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 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

Early access

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