DatriseAI-first ETL

Metabase to PlanetScale Integration

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

How Datrise loads Metabase into PlanetScale

Datrise syncs Metabase's questions, dashboards, collections, cards, users, and query executions 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

Metabase: Self-service BI over existing databases.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Metabase entities map to PlanetScale

Metabase entityPlanetScale objectNotes
questionsmetabase_questionsid PK · custom fields → JSON columns
dashboardsmetabase_dashboardsid PK · linked to metabase_questions
collectionsmetabase_collectionsid PK · linked to metabase_questions
cardsmetabase_cardsid PK · linked to metabase_questions

FAQ

How does Datrise handle Metabase'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 Metabase 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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