DatriseAI-first ETL

Instatus to PlanetScale Integration

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

How Datrise loads Instatus into PlanetScale

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Instatus: Fast status pages with incident timelines and subscribers.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Instatus entities map to PlanetScale

Instatus entityPlanetScale objectNotes
incidentsinstatus_incidentsid PK · custom fields → JSON 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 PlanetScale?

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

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