DatriseAI-first ETL

Qualaroo to Qlik Integration

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

How Datrise loads Qualaroo into Qlik

Datrise syncs Qualaroo's surveys, responses, questions, respondents, nudges, and sentiment scores into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.

Ideal for associative, in-memory exploration in Qlik Sense.

Endpoints

Qualaroo: On-site surveys and user sentiment capture.

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How Qualaroo entities map to Qlik

Qualaroo entityQlik objectNotes
surveysqualaroo_surveysid PK · custom fields → flattened columns for the data model
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 Qlik?

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

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

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

Related pipelines

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