DatriseAI-first ETL

UserVoice to PlanetScale Integration

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

How Datrise loads UserVoice into PlanetScale

Datrise syncs UserVoice's suggestions, votes, comments, users, forums, and statuses 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

UserVoice: Product feedback, ideas, and feature requests.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How UserVoice entities map to PlanetScale

UserVoice entityPlanetScale objectNotes
suggestionsuservoice_suggestionsid PK · custom fields → JSON columns
votesuservoice_votesid PK · linked to uservoice_suggestions
commentsuservoice_commentsid PK · linked to uservoice_suggestions
usersuservoice_usersid PK · linked to uservoice_suggestions

FAQ

How does Datrise handle UserVoice'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 UserVoice 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 UserVoice to PlanetScale the easy way

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