Instatus to Mode Integration

How Datrise loads Instatus into Mode

Datrise syncs Instatus's incidents, components, incident updates, subscribers, status page views, and uptime history into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

Instatus: Fast status pages with incident timelines and subscribers.

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Instatus entities map to Mode

Instatus entity	Mode object	Notes
incidents	`instatus_incidents`	id PK · custom fields → flattened columns for SQL and notebooks
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 Mode?

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

How does the Instatus to Mode sync stay up to date?

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

Related pipelines

Early access

Connect Instatus to Mode the easy way

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