Docker Hub to Holistics Integration
AI-first ETL from Docker Hub into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Docker Hub into Holistics
Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Docker Hub: Container image registry and distribution.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Docker Hub entities map to Holistics
| Docker Hub entity | Holistics object | Notes |
|---|---|---|
| repositories | dockerhub_repositories | id PK · custom fields → flattened columns for the modeling layer |
| 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 Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Docker Hub to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
Related pipelines
More destinations for Docker Hub
Early access
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