DatriseAI-first ETL

Google Analytics 360 Metabase

AI-first ETL from Google Analytics 360 into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics 360 into Metabase

Datrise syncs Google Analytics 360's records, events, and configuration objects into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Google Analytics 360: SaaS or API data source for analytics and warehouse sync.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Google Analytics 360 entities map to Metabase

Google Analytics 360 entityMetabase objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → flattened columns for the question builder
eventsgoogle_analytics_360_eventstemporal columns for trends events
configuration objectsgoogle_analytics_360_configuration_objectsid PK · linked to google_analytics_360_records

FAQ

How does Datrise handle Google Analytics 360's custom fields in Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

How does the Google Analytics 360 to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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