DatriseAI-first ETL

Instatus to Apache Superset Integration

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

How Datrise loads Instatus into Apache Superset

Datrise syncs Instatus's incidents, components, incident updates, subscribers, status page views, and uptime history 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

Instatus: Fast status pages with incident timelines and subscribers.

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

How Instatus entities map to Apache Superset

Instatus entityApache Superset objectNotes
incidentsinstatus_incidentsid PK · custom fields → flattened columns for the explore UI
componentsinstatus_componentsid PK · linked to instatus_incidents
incident updatesinstatus_incident_updatesid PK · linked to instatus_incidents
subscribersinstatus_subscribersid PK · linked to instatus_incidents

FAQ

How does Datrise handle Instatus'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 Instatus 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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