Docker Hub to Google BigQuery Integration
AI-first ETL from Docker Hub into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Docker Hub into Google BigQuery
Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
Docker Hub: Container image registry and distribution.
Google BigQuery: Serverless analytics warehouse on GCP.
How Docker Hub entities map to Google BigQuery
| Docker Hub entity | Google BigQuery object | Notes |
|---|---|---|
| repositories | dockerhub_repositories | id PK · custom fields → JSON or nested/repeated (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 Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the Docker Hub to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
More destinations for Docker Hub
- Docker Hub → Amazon Redshift
- Docker Hub → Databricks SQL Warehouse
- Docker Hub → ClickHouse
- Docker Hub → DuckDB
- Docker Hub → Amazon Athena
- Docker Hub → Amazon S3 Data Lake
- Docker Hub → Azure Data Lake Storage
- Docker Hub → Azure Synapse
- Docker Hub → Spreadsheets
- Docker Hub → Airtable
- Docker Hub → CSV Files
- Docker Hub → MongoDB
More sources for Google BigQuery
- Campaign Manager 360 → Google BigQuery
- Dremio → Google BigQuery
- Drift → Google BigQuery
- Drip → Google BigQuery
- Elasticsearch → Google BigQuery
- Eloqua → Google BigQuery
- EmailOctopus → Google BigQuery
- Everhour → Google BigQuery
- Excel File → Google BigQuery
- Exchange Rates API → Google BigQuery
- Facebook Pages → Google BigQuery
- Fastbill → Google BigQuery
Early access
Connect Docker Hub to Google BigQuery 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.