DatriseAI-first ETL

Webflow to PlanetScale Integration

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

How Datrise loads Webflow into PlanetScale

Datrise syncs Webflow's collections, collection items, sites, fields, form submissions, 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

Webflow: Visual website builder with a structured CMS.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Webflow entities map to PlanetScale

Webflow entityPlanetScale objectNotes
collectionswebflow_collectionsid PK · custom fields → JSON columns
collection itemswebflow_collection_itemsid PK · linked to webflow_collections
siteswebflow_sitesid PK · linked to webflow_collections
fieldswebflow_fieldsid PK · linked to webflow_collections

FAQ

How does Datrise handle Webflow'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 Webflow 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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