DatriseAI-first ETL

Docker Hub to Metabase Integration

AI-first ETL from Docker Hub into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Docker Hub into Metabase

Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Docker Hub: Container image registry and distribution.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Docker Hub entities map to Metabase

Docker Hub entityMetabase objectNotes
repositoriesdockerhub_repositoriesid PK · custom fields → flattened columns for the question builder
imagesdockerhub_imagesid PK · linked to dockerhub_repositories
tagsdockerhub_tagsid PK · linked to dockerhub_repositories
pull countsdockerhub_pull_countsid PK · linked to dockerhub_repositories

FAQ

How does Datrise handle Docker Hub's custom fields in Metabase?

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

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

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

Related pipelines

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