DatriseAI-first ETL

Urban Airship Redash

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

How Datrise loads Urban Airship into Redash

Datrise syncs Urban Airship's records, events, and configuration objects into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, 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 for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

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

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Urban Airship entities map to Redash

Urban Airship entityRedash objectNotes
recordsurban_airship_recordsid PK · custom fields → flattened columns for query results
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 Redash?

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

How does the Urban Airship to Redash sync stay up to date?

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

Related pipelines

Early access

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