Docker Hub to Qlik Integration

How Datrise loads Docker Hub into Qlik

Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations 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

Docker Hub: Container image registry and distribution.

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

How Docker Hub entities map to Qlik

Docker Hub entity	Qlik object	Notes
repositories	`dockerhub_repositories`	id PK · custom fields → flattened columns for the data model
images	`dockerhub_images`	id PK · linked to dockerhub_repositories
tags	`dockerhub_tags`	id PK · linked to dockerhub_repositories
pull counts	`dockerhub_pull_counts`	id PK · linked to dockerhub_repositories

FAQ

How does Datrise handle Docker Hub'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 Docker Hub 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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