Docker Hub to Birst Integration
AI-first ETL from Docker Hub into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Docker Hub into Birst
Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Docker Hub: Container image registry and distribution.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Docker Hub entities map to Birst
| Docker Hub entity | Birst object | Notes |
|---|---|---|
| repositories | dockerhub_repositories | id PK · custom fields → flattened columns |
| 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 Birst?
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 Birst types.
How does the Docker Hub to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Docker Hub
Early access
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