DatriseAI-first ETL

Docker Hub to Azure Synapse Integration

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

How Datrise loads Docker Hub into Azure Synapse

Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Docker Hub: Container image registry and distribution.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Docker Hub entities map to Azure Synapse

Docker Hub entityAzure Synapse objectNotes
repositoriesdockerhub_repositoriesid PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Docker Hub to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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