Databasus
Databasus is an open source tool to backup PostgreSQL, MySQL and MongoDB Features: - Support of multiple databases: PostgreSQL, MySQL, MariaDB and MongoDB - Scheduled backups for multiple DBs in the same time - Storage targets: local disk, S3, Cloudflare R2, Google Drive, Azure Blob, NAS, etc. - Notifications about backup status via email, Telegram, Slack, Discord, MS Teams and customizable webhooks - Works with both self-hosted PostgreSQL and managed services (RDS, Cloud SQL, Azure Database for PostgreSQL, etc.) - Workspaces, users access and audit logs (for teams) - Runs as a single Docker container or via Helm on Kubernetes; can also be installed via a shell script - Suitable for production environments
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Databasus is an open-source tool designed for backing up various databases, including PostgreSQL, MySQL, MariaDB, and MongoDB. It offers features such as scheduled backups for multiple databases simultaneously, support for various storage targets like local disks and cloud services, and notifications about backup status through various platforms.
Databasus includes several key features: support for multiple databases (PostgreSQL, MySQL, MariaDB, MongoDB), scheduled backups for multiple databases at once, various storage options (local disk, S3, Google Drive, etc.), notifications via email and messaging platforms, compatibility with both self-hosted and managed database services, user access management, and the ability to run as a Docker container or via Helm on Kubernetes.
Currently, there are no user-generated pros and cons available for Databasus. However, its open-source nature and support for multiple databases and storage options are generally seen as advantages. Potential drawbacks may include the need for technical expertise to set up and manage the tool effectively.
Yes, Databasus is designed to be suitable for production environments, offering features like workspaces, user access management, and audit logs, which are essential for team collaboration and security.
Databasus can be installed in several ways: it can run as a single Docker container, be deployed via Helm on Kubernetes, or installed using a shell script. This flexibility allows users to choose the installation method that best fits their infrastructure.