SurveyCTO to PlanetScale Integration
AI-first ETL from SurveyCTO into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads SurveyCTO into PlanetScale
Datrise syncs SurveyCTO's form submissions, forms, fields, answers, enumerators, and submission timestamps 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
SurveyCTO: Offline-capable field survey data collection.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How SurveyCTO entities map to PlanetScale
| SurveyCTO entity | PlanetScale object | Notes |
|---|---|---|
| form submissions | surveycto_form_submissions | id PK · custom fields → JSON columns |
| forms | surveycto_forms | id PK · linked to surveycto_form_submissions |
| fields | surveycto_fields | id PK · linked to surveycto_form_submissions |
| answers | surveycto_answers | id PK · linked to surveycto_form_submissions |
FAQ
How does Datrise handle SurveyCTO'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 SurveyCTO 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
More destinations for SurveyCTO
Early access
Connect SurveyCTO to PlanetScale the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.