Running PostgreSQL on Docker offers a convenient way to manage relational databases by simplifying setup and configuration, especially for developers working across multiple machines. Docker containers allow quick deployment of PostgreSQL instances, but they require careful management of data persistence as data is lost when the container is stopped. To maintain data integrity, it is recommended to use persistent volumes that map data directories on local machines. Despite its advantages for development and testing due to easy startup and flexibility, using Docker for production databases is generally discouraged because containers are designed for stateless applications, while databases are inherently stateful, which can lead to significant risks if a container crashes during operations. For production environments, cloud-based database-as-a-service options from providers like AWS, GCP, or Azure are preferable. The article also highlights best practices such as using smaller and secure Alpine images and implementing health checks and periodic data backups to enhance security and reliability when using Docker for PostgreSQL.