DatriseAI-first ETL

Microsoft Teams Apache Superset

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

How Datrise loads Microsoft Teams into Apache Superset

Datrise syncs Microsoft Teams'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

Microsoft Teams: SaaS or API data source for analytics and warehouse sync.

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

How Microsoft Teams entities map to Apache Superset

Microsoft Teams entityApache Superset objectNotes
recordsmicrosoft_teams_recordsid PK · custom fields → flattened columns for the explore UI
eventsmicrosoft_teams_eventstemporal columns for time-series charts events
configuration objectsmicrosoft_teams_configuration_objectsid PK · linked to microsoft_teams_records

FAQ

How does Datrise handle Microsoft Teams'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 Microsoft Teams 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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