Docker Hub to PlanetScale Integration
AI-first ETL from Docker Hub into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Docker Hub into PlanetScale
Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Docker Hub: Container image registry and distribution.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Docker Hub entities map to PlanetScale
| Docker Hub entity | PlanetScale object | Notes |
|---|---|---|
| repositories | dockerhub_repositories | id PK · custom fields → JSON 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 PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the Docker Hub to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Docker Hub
More sources for PlanetScale
Early access
Connect Docker Hub to PlanetScale the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.