Fauna to PlanetScale Integration

How Datrise loads Fauna into PlanetScale

Datrise syncs Fauna's collections, documents, indexes, functions, database schemas, and document 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

Fauna: Distributed document-relational database.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Fauna entities map to PlanetScale

Fauna entity	PlanetScale object	Notes
collections	`fauna_collections`	id PK · custom fields → JSON columns
documents	`fauna_documents`	id PK · linked to fauna_collections
indexes	`fauna_indexes`	id PK · linked to fauna_collections
functions	`fauna_functions`	id PK · linked to fauna_collections

FAQ

How does Datrise handle Fauna'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 Fauna 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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