DatriseAI-first ETL

Docker Hub to PostgreSQL Integration

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

How Datrise loads Docker Hub into PostgreSQL

Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into PostgreSQL as a typed table per source entity. 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Docker Hub: Container image registry and distribution.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Docker Hub entities map to PostgreSQL

Docker Hub entityPostgreSQL 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 PostgreSQL?

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 PostgreSQL types.

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

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

Related pipelines

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