DatriseAI-first ETL

UserVoice to Neon Integration

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

How Datrise loads UserVoice into Neon

Datrise syncs UserVoice's suggestions, votes, comments, users, forums, and statuses into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

UserVoice: Product feedback, ideas, and feature requests.

Neon: Serverless Postgres destination with branching and autoscaling.

How UserVoice entities map to Neon

UserVoice entityNeon objectNotes
suggestionsuservoice_suggestionsid PK · custom fields → jsonb 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 Neon?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.

How does the UserVoice to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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