DatriseAI-first ETL

Urban Airship Chartio

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

How Datrise loads Urban Airship into Chartio

Datrise syncs Urban Airship's records, events, and configuration objects 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

Urban Airship: SaaS or API data source for analytics and warehouse sync.

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

How Urban Airship entities map to Chartio

Urban Airship entityChartio objectNotes
recordsurban_airship_recordsid PK · custom fields → flattened columns for visual SQL
eventsurban_airship_eventstemporal columns events
configuration objectsurban_airship_configuration_objectsid PK · linked to urban_airship_records

FAQ

How does Datrise handle Urban Airship'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 Urban Airship to Chartio sync stay up to date?

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

Related pipelines

Early access

Connect Urban Airship to Chartio the easy way

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