DatriseAI-first ETL

Google Analytics Chartio

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

How Datrise loads Google Analytics into Chartio

Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

Google Analytics: Web and product analytics for behavior and traffic insights.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Google Analytics entities map to Chartio

Google Analytics entityChartio objectNotes
sessionsgoogle_analytics_sessionsid PK · custom fields → flattened columns for visual SQL
eventsgoogle_analytics_eventstemporal columns events
channelsgoogle_analytics_channelsid PK · linked to google_analytics_sessions
conversionsgoogle_analytics_conversionsid PK · linked to google_analytics_sessions

FAQ

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

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

How does the Google Analytics to Chartio sync stay up to date?

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

Related pipelines

Early access

Connect Google Analytics to Chartio the easy way

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