Instatus to Chartio Integration

How Datrise loads Instatus into Chartio

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

Instatus: Fast status pages with incident timelines and subscribers.

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

How Instatus entities map to Chartio

Instatus entity	Chartio object	Notes
incidents	`instatus_incidents`	id PK · custom fields → flattened columns for visual SQL
components	`instatus_components`	id PK · linked to instatus_incidents
incident updates	`instatus_incident_updates`	id PK · linked to instatus_incidents
subscribers	`instatus_subscribers`	id PK · linked to instatus_incidents

FAQ

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

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

Related pipelines

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