Docker Hub to Tableau Integration
AI-first ETL from Docker Hub into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads Docker Hub into Tableau
Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.
Ideal for visual analytics and dashboards in Tableau.
Endpoints
Docker Hub: Container image registry and distribution.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How Docker Hub entities map to Tableau
| Docker Hub entity | Tableau object | Notes |
|---|---|---|
| repositories | dockerhub_repositories | id PK · custom fields → flattened columns for Tableau fields |
| 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 Tableau?
Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.
How does the Docker Hub to Tableau sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.
Related pipelines
More destinations for Docker Hub
Early access
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