DatriseAI-first ETL

Docker Hub to Supabase Integration

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

How Datrise loads Docker Hub into Supabase

Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Docker Hub: Container image registry and distribution.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Docker Hub entities map to Supabase

Docker Hub entitySupabase objectNotes
repositoriesdockerhub_repositoriesid PK · custom fields → jsonb columns
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 Supabase?

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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