DatriseAI-first ETL

Docker Hub to Neon Integration

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

How Datrise loads Docker Hub into Neon

Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Docker Hub: Container image registry and distribution.

Neon: Serverless Postgres destination with branching and autoscaling.

How Docker Hub entities map to Neon

Docker Hub entityNeon 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 Neon?

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 Neon types.

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

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

Related pipelines

Early access

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