DatriseAI-first ETL

Google Analytics 360 Apache Superset

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

How Datrise loads Google Analytics 360 into Apache Superset

Datrise syncs Google Analytics 360's records, events, and configuration objects into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

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

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Google Analytics 360 entities map to Apache Superset

Google Analytics 360 entityApache Superset objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → flattened columns for the explore UI
eventsgoogle_analytics_360_eventstemporal columns for time-series charts 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 Apache Superset?

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

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

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

Related pipelines

Early access

Connect Google Analytics 360 to Apache Superset the easy way

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