DatriseAI-first ETL

SurveyMonkey PlanetScale

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

How Datrise loads SurveyMonkey into PlanetScale

Datrise syncs SurveyMonkey's surveys, questions, responses, collectors, and quotas 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

SurveyMonkey: Survey creation and response analytics.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How SurveyMonkey entities map to PlanetScale

SurveyMonkey entityPlanetScale objectNotes
surveyssurveymonkey_surveysid PK · custom fields → JSON columns
questionssurveymonkey_questionsid PK · linked to surveymonkey_surveys
responsessurveymonkey_responsesid PK · linked to surveymonkey_surveys
collectorssurveymonkey_collectorsid PK · linked to surveymonkey_surveys

FAQ

How does Datrise handle SurveyMonkey'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 SurveyMonkey 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

Connect SurveyMonkey 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.