DatriseAI-first ETL

UserVoice to GoodData Integration

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

How Datrise loads UserVoice into GoodData

Datrise syncs UserVoice's suggestions, votes, comments, users, forums, and statuses into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

UserVoice: Product feedback, ideas, and feature requests.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How UserVoice entities map to GoodData

UserVoice entityGoodData objectNotes
suggestionsuservoice_suggestionsid PK · custom fields → flattened 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 GoodData?

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

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

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

Related pipelines

Early access

Connect UserVoice to GoodData the easy way

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