DatriseAI-first ETL

Typeform PlanetScale

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

How Datrise loads Typeform into PlanetScale

Datrise syncs Typeform's forms, responses, questions, workspaces, and completion metrics 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

Typeform: Conversational forms and response analytics.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Typeform entities map to PlanetScale

Typeform entityPlanetScale objectNotes
formstypeform_formsid PK · custom fields → JSON columns
responsestypeform_responsesid PK · linked to typeform_forms
questionstypeform_questionsid PK · linked to typeform_forms
workspacestypeform_workspacesid PK · linked to typeform_forms

FAQ

How does Datrise handle Typeform'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 Typeform 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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