DatriseAI-first ETL

Aircall to Apache Superset Integration

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

How Datrise loads Aircall into Apache Superset

Datrise syncs Aircall's calls, users, teams, phone numbers, tags, and call recordings 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

Aircall: Cloud phone system for sales and support teams.

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

How Aircall entities map to Apache Superset

Aircall entityApache Superset objectNotes
callsaircall_callsid PK · custom fields → flattened columns for the explore UI
usersaircall_usersid PK · linked to aircall_calls
teamsaircall_teamsid PK · linked to aircall_calls
phone numbersaircall_phone_numbersid PK · linked to aircall_calls

FAQ

How does Datrise handle Aircall'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 Aircall to Apache Superset sync stay up to date?

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

Related pipelines

Early access

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