DatriseAI-first ETL

Qualaroo to GoodData Integration

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

How Datrise loads Qualaroo into GoodData

Datrise syncs Qualaroo's surveys, responses, questions, respondents, nudges, and sentiment scores 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

Qualaroo: On-site surveys and user sentiment capture.

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

How Qualaroo entities map to GoodData

Qualaroo entityGoodData objectNotes
surveysqualaroo_surveysid PK · custom fields → flattened columns
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 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 Qualaroo to GoodData sync stay up to date?

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

Related pipelines

Early access

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