DatriseAI-first ETL

Sonar Cloud PlanetScale

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

How Datrise loads Sonar Cloud into PlanetScale

Datrise syncs Sonar Cloud's records, events, and configuration objects 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

Sonar Cloud: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Sonar Cloud entities map to PlanetScale

Sonar Cloud entityPlanetScale objectNotes
recordssonar_cloud_recordsid PK · custom fields → JSON columns
eventssonar_cloud_eventsDATETIME events
configuration objectssonar_cloud_configuration_objectsid PK · linked to sonar_cloud_records

FAQ

How does Datrise handle Sonar Cloud'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 Sonar Cloud 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

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