Docker Hub to Chartio Integration
AI-first ETL from Docker Hub into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Docker Hub into Chartio
Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
Docker Hub: Container image registry and distribution.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Docker Hub entities map to Chartio
| Docker Hub entity | Chartio object | Notes |
|---|---|---|
| repositories | dockerhub_repositories | id PK · custom fields → flattened columns for visual SQL |
| 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 Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the Docker Hub to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Docker Hub
Early access
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