Docker Hub to DuckDB Integration
AI-first ETL from Docker Hub into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Docker Hub into DuckDB
Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
Docker Hub: Container image registry and distribution.
DuckDB: In-process analytics database for fast local OLAP.
How Docker Hub entities map to DuckDB
| Docker Hub entity | DuckDB object | Notes |
|---|---|---|
| repositories | dockerhub_repositories | id PK · custom fields → JSON or STRUCT columns |
| 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 DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the Docker Hub to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for Docker Hub
Early access
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