DatriseAI-first ETL

Convex to PlanetScale Integration

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

How Datrise loads Convex into PlanetScale

Datrise syncs Convex's documents, tables, functions, indexes, mutations, and queries 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

Convex: Reactive backend with a document database.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Convex entities map to PlanetScale

Convex entityPlanetScale objectNotes
documentsconvex_documentsid PK · custom fields → JSON columns
tablesconvex_tablesid PK · linked to convex_documents
functionsconvex_functionsid PK · linked to convex_documents
indexesconvex_indexesid PK · linked to convex_documents

FAQ

How does Datrise handle Convex'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 Convex 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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