Databus Gitbook
Databus
Databus
  • Overview
  • Guides
    • Data Publishing
    • Data Download
  • Use Cases
    • Data Version Control
    • Populating Database with Data
    • Data Quality Control
    • Data Crawling
    • Automated Deployment
    • Building Data Repositories
  • Organising Your Data (Model)
    • How to Organise Your Data
    • URI Design
    • Versioning
    • Metadata
      • Group
      • Artifact
      • Version
      • Distribution
      • Collection
    • Content Variants
    • Persistence (HowTo)
  • Usage
    • Quickstart Examples (Publish, Download)
    • Web Interface
      • Publish
      • Collections
      • Auto-Completion
    • API
    • Databus Mods
    • Databus Client
    • Integration with CI (Jenkins)
  • Running Your Own Databus Server
    • Run with Docker
    • Configuration
    • HTTPS & Proxy Setup
  • Development Environment
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  1. Running Your Own Databus Server

Run with Docker

Databus is a complex application consisting of several microservices and a Virtuoso database server. For the ease of deployment we recommend running it using Docker.

To run the application using Docker, clone the repository or download the docker-compose.yml and .env files. Both files need to exist in the same directory. Navigate to the directory with the files (or root of the repo).

run:

docker-compose up  # optionally with -d parameter to run the containers in background

The Databus will be available at http://localhost:3000.

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Last updated 2 years ago