DatriseAI-first ETL

ConvertKit to PlanetScale Integration

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

How Datrise loads ConvertKit into PlanetScale

Datrise syncs ConvertKit's subscribers, forms, sequences, tags, broadcasts, and email 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

ConvertKit: Email marketing built for creators.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How ConvertKit entities map to PlanetScale

ConvertKit entityPlanetScale objectNotes
subscribersconvertkit_subscribersid PK · custom fields → JSON columns
formsconvertkit_formsid PK · linked to convertkit_subscribers
sequencesconvertkit_sequencesid PK · linked to convertkit_subscribers
tagsconvertkit_tagsid PK · linked to convertkit_subscribers

FAQ

How does Datrise handle ConvertKit'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 ConvertKit 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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