DatriseAI-first ETL

UserVoice to PostgreSQL Integration

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

How Datrise loads UserVoice into PostgreSQL

Datrise syncs UserVoice's suggestions, votes, comments, users, forums, and statuses into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

UserVoice: Product feedback, ideas, and feature requests.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How UserVoice entities map to PostgreSQL

UserVoice entityPostgreSQL 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 PostgreSQL?

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 PostgreSQL types.

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

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

Related pipelines

Early access

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