DatriseAI-first ETL

Amplitude Qlik

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

How Datrise loads Amplitude into Qlik

Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves 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

Amplitude: Product analytics source for events, funnels, and cohorts.

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

How Amplitude entities map to Qlik

Amplitude entityQlik objectNotes
product eventsamplitude_product_eventsdate/time fields events
user propertiesamplitude_user_propertiesid PK · linked to amplitude_product_events
funnelsamplitude_funnelsid PK · linked to amplitude_product_events
cohortsamplitude_cohortsid PK · linked to amplitude_product_events

FAQ

How does Datrise handle Amplitude'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 Amplitude 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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