DatriseAI-first ETL

UserVoice to Redash Integration

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

How Datrise loads UserVoice into Redash

Datrise syncs UserVoice's suggestions, votes, comments, users, forums, and statuses into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

UserVoice: Product feedback, ideas, and feature requests.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How UserVoice entities map to Redash

UserVoice entityRedash objectNotes
suggestionsuservoice_suggestionsid PK · custom fields → flattened columns for query results
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 Redash?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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