DatriseAI-first ETL

Uservoice Apache Superset

AI-first ETL from Uservoice into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads Uservoice into Apache Superset

Datrise syncs Uservoice's records, events, and configuration objects into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Uservoice: SaaS or API data source for analytics and warehouse sync.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Uservoice entities map to Apache Superset

Uservoice entityApache Superset objectNotes
recordsuservoice_recordsid PK · custom fields → flattened columns for the explore UI
eventsuservoice_eventstemporal columns for time-series charts events
configuration objectsuservoice_configuration_objectsid PK · linked to uservoice_records

FAQ

How does Datrise handle Uservoice's custom fields in Apache Superset?

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

How does the Uservoice to Apache Superset sync stay up to date?

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

Related pipelines

Early access

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