Docker Hub to Redash Integration

How Datrise loads Docker Hub into Redash

Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, 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 for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Docker Hub: Container image registry and distribution.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Docker Hub entities map to Redash

Docker Hub entity	Redash object	Notes
repositories	`dockerhub_repositories`	id PK · custom fields → flattened columns for query results
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 Redash?

Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.

How does the Docker Hub to Redash sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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