Pangolin supports two database options: SQLite for simplicity and PostgreSQL for production deployments.

SQLite (Default)

  • No configuration required
  • Easy to use and portable
  • Built into the main image
  • Perfect for development

PostgreSQL

  • Production-ready database
  • Better performance at scale
  • Requires separate image
  • Advanced configuration options

​
SQLite

By default, Pangolin uses SQLite for its ease of use and portability. Docker Image: fosrl/pangolin:<version>
No configuration is required to use SQLite with Pangolin.

​
PostgreSQL

You can optionally use PostgreSQL for production deployments. Docker Image: fosrl/pangolin:postgresql-<version>

​
Configuration

Add the following section to your Pangolin configuration file:
config.yml
postgres:
  connection_string: postgresql://<user>:<password>@<host>:<port>/<database>
Replace the placeholders with your actual PostgreSQL connection details.

​
Docker Compose Example

This example sets up PostgreSQL with health checks to ensure the database is ready before Pangolin starts:
docker-compose.yml
name: pangolin
services:
  pangolin:
    image: fosrl/pangolin:postgresql-latest # Don't use latest in production
    container_name: pangolin
    restart: unless-stopped
    depends_on:
      postgres:
        condition: service_healthy
    volumes:
      - ./config:/app/config
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:3001/api/v1/"]
      interval: "10s"
      timeout: "10s"
      retries: 15

  # ... other services ...

  postgres:
    image: postgres:17
    container_name: postgres
    restart: unless-stopped
    environment:
      POSTGRES_USER: postgres
      POSTGRES_PASSWORD: postgres
    volumes:
      - ./config/postgres:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U postgres"]
      interval: 10s
      timeout: 5s
      retries: 5
This example is not necessarily production-ready. Adjust the configuration according to your needs and security requirements.
Do not use latest tags in production. Use specific version tags for stability.