DatriseAI-first ETL

Instatus to PostgreSQL Integration

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

How Datrise loads Instatus into PostgreSQL

Datrise syncs Instatus's incidents, components, incident updates, subscribers, status page views, and uptime history into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Instatus: Fast status pages with incident timelines and subscribers.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Instatus entities map to PostgreSQL

Instatus entityPostgreSQL objectNotes
incidentsinstatus_incidentsid PK · custom fields → jsonb columns
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 PostgreSQL?

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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