DatriseAI-first ETL

Qualaroo to Metabase Integration

AI-first ETL from Qualaroo into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Qualaroo into Metabase

Datrise syncs Qualaroo's surveys, responses, questions, respondents, nudges, and sentiment scores into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Qualaroo: On-site surveys and user sentiment capture.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Qualaroo entities map to Metabase

Qualaroo entityMetabase objectNotes
surveysqualaroo_surveysid PK · custom fields → flattened columns for the question builder
responsesqualaroo_responsesid PK · linked to qualaroo_surveys
questionsqualaroo_questionsid PK · linked to qualaroo_surveys
respondentsqualaroo_respondentsid PK · linked to qualaroo_surveys

FAQ

How does Datrise handle Qualaroo's custom fields in Metabase?

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

How does the Qualaroo to Metabase sync stay up to date?

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

Related pipelines

Early access

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