DatriseAI-first ETL

Platform Purple PlanetScale

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

How Datrise loads Platform Purple into PlanetScale

Datrise syncs Platform Purple'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

Platform Purple: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Platform Purple entities map to PlanetScale

Platform Purple entityPlanetScale objectNotes
recordsplatform_purple_recordsid PK · custom fields → JSON columns
eventsplatform_purple_eventsDATETIME events
configuration objectsplatform_purple_configuration_objectsid PK · linked to platform_purple_records

FAQ

How does Datrise handle Platform Purple'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 Platform Purple 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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