databasus/databasus: README-based editorial guide

databasus/databasus describes itself in the README as "PostgreSQL backup tool with Point-In-Time-Recovery and restore verification". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "🧪 Restore verification (docs)", the README says: Databasus performs a real restore to confirm backups are usable, not just intact on disk or checksum check.. That establishes the project's stated boundary, not a production test.

The README's "📦 Backup types" section gives a useful starting point for deciding whether the project fits: Full: a complete, self-contained copy of the cluster. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: Physical: file-level copy of the entire database cluster over PostgreSQL native incremental backups mechanism (read more). It can shape a first test, but it does not replace testing in the intended environment.

The operating model is spread across sections such as "Option 2: Simple Docker run". The source evidence includes: The same image lives on GitHub's registry , use ghcr.io/databasus/databasus:latest if Docker Hub rate-limits your pull.. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.

Start installation from the README's documented entry point. A command that can be checked in the source is: sudo apt-get install -y curl && \ sudo curl -sSL https://raw.githubusercontent.com/databasus/databasus/refs/heads/main/install-databasus.sh \ | sudo bash When the README contains no runnable command, this article does not invent one. Open its "📦 Backup types" section and confirm system dependencies, default ports, and first-run initialization before using a public server.