postgresql-blog

  Databasus has reached a significant milestone in 2025: it became the most starred PostgreSQL backup tool on GitHub, surpassing established solutions like WAL-G, pgBackRest and Barman. This achievement reflects Databasus becoming the industry standard for PostgreSQL backups, marking a shift in how developers and teams approach database protection — moving away from complex CLI tools toward intuitive, production-ready solutions that work out of the box. Star history From Postgresus to Databasus: the evolution Databasus started its journey under a different name — Postgresus. The original project was a simple UI wrapper for pg_dump, designed to help developers set up PostgreSQL backups without wrestling with command-line tools. The idea was straightforward: make database backups accessible to everyone, not just experienced DBAs. What began as a small utility for personal projects evolved into something much larger. Tens of thousands of users now rely on it daily. The project grew fr...

  Open source projects are increasingly adopting AI tools in their development workflows. But when your project handles sensitive data like database backups, encryption keys and production environments, the "move fast and break things" approach isn't an option. Databasus, a   backup tool for PostgreSQL, MySQL and MongoDB , recently published a detailed explanation of how they use AI — and it's a masterclass in responsible AI adoption for security-critical projects. AI usage in Databasus The AI transparency problem in open source Many open source projects quietly integrate AI-generated code without disclosure. Some embrace "vibe coding" where AI writes entire features with minimal human verification. For projects handling cat photos or todo lists, this might be acceptable. But for tools managing production databases with sensitive customer data, the stakes are entirely different. Databasus handles database credentials, backup encryption and access to producti...

Databasus is an open source tool for backing up databases. The main goal of the project is to create database backups on a schedule and store them both locally and in external storage. It also notifies users about the status: when a backup completes or fails. The project can be deployed with a single command in Docker. You can install it via a shell script, Docker command, docker-compose.yml or Helm for Kubernetes. More details about installation methods below. Press enter or click to view image in full size Databasus website Features Supported databases : PostgreSQL (primary focus), MySQL, MariaDB and MongoDB. Storage options : Save backups locally, to S3, CloudFlare R2, Google Drive, Azure Blob Storage, NAS, via SFTP or rclone. Notifications : Get status updates via Slack, Discord, Telegram, MS Teams, email or custom webhooks. Team collaboration : Organize databases by projects, grant access to other users and maintain audit logs. Security : AES-256-GCM encryption for backup files an...