DatriseAI-first ETL

Contentful to PlanetScale Integration

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

How Datrise loads Contentful into PlanetScale

Datrise syncs Contentful's entries, content types, assets, spaces, locales, and publish events 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

Contentful: Headless CMS for structured content delivery.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Contentful entities map to PlanetScale

Contentful entityPlanetScale objectNotes
entriescontentful_entriesid PK · custom fields → JSON columns
content typescontentful_content_typesid PK · linked to contentful_entries
assetscontentful_assetsid PK · linked to contentful_entries
spacescontentful_spacesid PK · linked to contentful_entries

FAQ

How does Datrise handle Contentful'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 Contentful 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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