How do I install Databasus on a server without Docker?

Databasus is designed for Docker-based deployment; there's no native installation option. You must use Docker, Docker Compose, or Kubernetes, as outlined in the installation docs. For non-Docker environments, you'd need to adapt the container setup or look for alternative tools.

Databasus vs pgBackRest for PostgreSQL backups?

Databasus offers a user-friendly UI, multi-database support, and cloud storage integrations, while pgBackRest is more PostgreSQL-specific and focused on performance. Choose Databasus for teams needing a centralized tool across databases; pgBackRest for dedicated PostgreSQL environments with advanced tuning needs.

How to configure incremental backups in Databasus?

Incremental backups require setting up physical backups with WAL archiving for point-in-time recovery. In the Databasus UI, select 'Incremental' as the backup type during database setup, and ensure your database supports WAL logging. This is detailed in the backup types section of the README.

Can Databasus backup managed databases like AWS RDS?

Yes, Databasus supports remote connections to managed databases like AWS RDS, as mentioned in the connection types. You need to configure network access and use read-only credentials. Ensure your cloud provider allows external connections for backup purposes.

What are the storage requirements for Databasus backups?

Storage needs depend on backup size and retention policies. Databasus uses smart compression (4-8x space savings) and allows size limits per backup. You must allocate sufficient space locally or in cloud storage like S3, as described in the retention and storage features.

How to restore a backup without using Databasus?

Databasus provides a guide for direct recovery from storage, as noted in the security section. You'll need the encryption key and backup files, then use native database tools like pg_restore for PostgreSQL or mongorestore for MongoDB to decrypt and restore manually.

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Databasus

Apache-2.0Gov3.49.0

A self-hosted, open-source database backup tool for PostgreSQL, MySQL, MariaDB, and MongoDB with multi-storage support and enterprise security.

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What is Databasus?

Databasus is an open-source, self-hosted tool for backing up PostgreSQL, MySQL, MariaDB, and MongoDB databases. It automates backup scheduling, manages retention policies, and stores backups across multiple local and cloud storage options. The tool solves the problem of ensuring reliable, secure, and manageable database backups for development and operations teams.

Target Audience

DevOps engineers, database administrators (DBAs), and development teams managing PostgreSQL, MySQL, MariaDB, or MongoDB databases who need automated, secure backup solutions.

Value Proposition

Developers choose Databasus for its comprehensive feature set, strong security with AES-256 encryption, and true open-source model with no feature limitations. It offers flexibility in backup types, storage options, and team collaboration tools, all while being fully self-hostable.

Overview

PostgreSQL backup tool with Point-In-Time-Recovery and restore verification

Use Cases

Best For

Automating backups for PostgreSQL databases with custom schedules
Implementing GFS retention policies for long-term backup archiving
Securing database backups with client-side encryption before cloud storage
Managing backup workflows for development teams with role-based access
Setting up incremental backups and point-in-time recovery for disaster recovery
Self-hosting a backup solution to maintain full data control and privacy

Not Ideal For

Environments using databases not supported, such as SQLite, Oracle, or Microsoft SQL Server
Teams with strict no-container policies or infrastructure that cannot run Docker
Projects requiring real-time, block-level continuous backup without any setup complexity

Pros & Cons

Pros

Multi-Database Compatibility

Supports PostgreSQL, MySQL, MariaDB, and MongoDB across multiple versions, as listed in the features, providing broad coverage for common database stacks.

Flexible Scheduling and Retention

Allows cron-based scheduling and GFS retention policies, enabling precise backup timing and long-term archiving for enterprise needs.

Enterprise-Grade Security

Implements AES-256-GCM encryption and uses read-only database users by default, ensuring backups are secure and non-invasive to production data.

No Vendor Lock-in

Backups can be decrypted and restored without Databasus, as emphasized in the security docs, avoiding dependency on the tool itself.

Team Collaboration Ready

Includes workspaces, role-based access control, and audit logs, making it suitable for collaborative DevOps environments with multiple users.

Cons

Docker Dependency

Requires Docker for installation, which can be a barrier for teams unfamiliar with containers or in environments where Docker is not permitted.

Limited Database Support

Only covers PostgreSQL, MySQL, MariaDB, and MongoDB, excluding other popular databases like SQLite or Oracle, which may require additional tools.

Complex Advanced Setup

Configuring incremental backups and point-in-time recovery requires deeper database knowledge and careful setup, as noted in the backup types section.

Frequently Asked Questions

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