DatriseAI-first ETL

SurveySparrow to PlanetScale Integration

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

How Datrise loads SurveySparrow into PlanetScale

Datrise syncs SurveySparrow's surveys, responses, questions, contacts, NPS scores, and share links 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

SurveySparrow: Conversational surveys and feedback workflows.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How SurveySparrow entities map to PlanetScale

SurveySparrow entityPlanetScale objectNotes
surveyssurveysparrow_surveysid PK · custom fields → JSON columns
responsessurveysparrow_responsesid PK · linked to surveysparrow_surveys
questionssurveysparrow_questionsid PK · linked to surveysparrow_surveys
contactssurveysparrow_contactsid PK · linked to surveysparrow_surveys

FAQ

How does Datrise handle SurveySparrow'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 SurveySparrow 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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