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databasus/README.md
2025-12-25 21:26:53 +03:00

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<img src="assets/logo.svg" style="margin-bottom: 20px;" alt="Databasus Logo" width="250"/>
<h1 style="font-size: 1.5em; border-bottom: none;">Backup tool for PostgreSQL, MySQL and MongoDB</h1>
<p>Databasus is a free, open source and self-hosted tool to backup databases. Make backups with different storages (S3, Google Drive, FTP, etc.) and notifications about progress (Slack, Discord, Telegram, etc.). Previously known as Postgresus (see migration guide).</p>
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<br />
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<p>
<a href="#-features">Features</a> •
<a href="#-installation">Installation</a> •
<a href="#-usage">Usage</a> •
<a href="#-license">License</a> •
<a href="#-contributing">Contributing</a>
</p>
<p style="margin-top: 20px; margin-bottom: 20px; font-size: 1.2em;">
<a href="https://databasus.com" target="_blank"><strong>🌐 Databasus website</strong></a>
</p>
<img src="assets/dashboard-dark.svg" alt="Databasus Dark Dashboard" width="800" style="margin-bottom: 10px;"/>
<img src="assets/dashboard.svg" alt="Databasus Dashboard" width="800"/>
</div>
---
## ✨ Features
### 💾 **Supported databases**
- **PostgreSQL**: 12, 13, 14, 15, 16, 17 and 18
- **MySQL**: 5.7, 8 and 9
- **MariaDB**: 10 and 11
- **MongoDB**: 4, 5, 6, 7 and 8
### 🔄 **Scheduled backups**
- **Flexible scheduling**: hourly, daily, weekly, monthly or cron
- **Precise timing**: run backups at specific times (e.g., 4 AM during low traffic)
- **Smart compression**: 4-8x space savings with balanced compression (~20% overhead)
### 🗄️ **Multiple storage destinations** <a href="https://databasus.com/storages">(view supported)</a>
- **Local storage**: Keep backups on your VPS/server
- **Cloud storage**: S3, Cloudflare R2, Google Drive, NAS, Dropbox, SFTP, Rclone and more
- **Secure**: All data stays under your control
### 📱 **Smart notifications** <a href="https://databasus.com/notifiers">(view supported)</a>
- **Multiple channels**: Email, Telegram, Slack, Discord, webhooks
- **Real-time updates**: Success and failure notifications
- **Team integration**: Perfect for DevOps workflows
### 🔒 **Enterprise-grade security** <a href="https://databasus.com/security">(docs)</a>
- **AES-256-GCM encryption**: Enterprise-grade protection for backup files
- **Zero-trust storage**: Backups are encrypted and remain useless to attackers, so you can safely store them in shared storage like S3, Azure Blob Storage, etc.
- **Encryption for secrets**: Any sensitive data is encrypted and never exposed, even in logs or error messages
- **Read-only user**: Databasus uses a read-only user by default for backups and never stores anything that can modify your data
### 👥 **Suitable for teams** <a href="https://databasus.com/access-management">(docs)</a>
- **Workspaces**: Group databases, notifiers and storages for different projects or teams
- **Access management**: Control who can view or manage specific databases with role-based permissions
- **Audit logs**: Track all system activities and changes made by users
- **User roles**: Assign viewer, member, admin or owner roles within workspaces
### 🎨 **UX-Friendly**
- **Designer-polished UI**: Clean, intuitive interface crafted with attention to detail
- **Dark & light themes**: Choose the look that suits your workflow
- **Mobile adaptive**: Check your backups from anywhere on any device
### ☁️ **Works with self-hosted & cloud databases**
Databasus works seamlessly with both self-hosted PostgreSQL and cloud-managed databases:
- **Cloud support**: AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL
- **Self-hosted**: Any PostgreSQL instance you manage yourself
- **Why no PITR support?**: Cloud providers already offer native PITR, and external PITR backups cannot be restored to managed cloud databases — making them impractical for cloud-hosted PostgreSQL
- **Practical granularity**: Hourly and daily backups are sufficient for 99% of projects without the operational complexity of WAL archiving
### 🐳 **Self-hosted & secure**
- **Docker-based**: Easy deployment and management
- **Privacy-first**: All your data stays on your infrastructure
- **Open source**: Apache 2.0 licensed, inspect every line of code
### 📦 Installation <a href="https://databasus.com/installation">(docs)</a>
You have four ways to install Databasus:
- Automated script (recommended)
- Simple Docker run
- Docker Compose setup
- Kubernetes with Helm
<img src="assets/healthchecks.svg" alt="Databasus Dashboard" width="800"/>
---
## 📦 Installation
You have three ways to install Databasus: automated script (recommended), simple Docker run, or Docker Compose setup.
### Option 1: Automated installation script (recommended, Linux only)
The installation script will:
- ✅ Install Docker with Docker Compose (if not already installed)
- ✅ Set up Databasus
- ✅ Configure automatic startup on system reboot
```bash
sudo apt-get install -y curl && \
sudo curl -sSL https://raw.githubusercontent.com/databasus/databasus/refs/heads/main/install-databasus.sh \
| sudo bash
```
### Option 2: Simple Docker run
The easiest way to run Databasus:
```bash
docker run -d \
--name databasus \
-p 4005:4005 \
-v ./databasus-data:/databasus-data \
--restart unless-stopped \
databasus/databasus:latest
```
This single command will:
- ✅ Start Databasus
- ✅ Store all data in `./databasus-data` directory
- ✅ Automatically restart on system reboot
### Option 3: Docker Compose setup
Create a `docker-compose.yml` file with the following configuration:
```yaml
services:
databasus:
container_name: databasus
image: databasus/databasus:latest
ports:
- "4005:4005"
volumes:
- ./databasus-data:/databasus-data
restart: unless-stopped
```
Then run:
```bash
docker compose up -d
```
### Option 4: Kubernetes with Helm
For Kubernetes deployments, install directly from the OCI registry.
**With ClusterIP + port-forward (development/testing):**
```bash
helm install databasus oci://ghcr.io/databasus/charts/databasus \
-n databasus --create-namespace
```
```bash
kubectl port-forward svc/databasus-service 4005:4005 -n databasus
# Access at http://localhost:4005
```
**With LoadBalancer (cloud environments):**
```bash
helm install databasus oci://ghcr.io/databasus/charts/databasus \
-n databasus --create-namespace \
--set service.type=LoadBalancer
```
```bash
kubectl get svc databasus-service -n databasus
# Access at http://<EXTERNAL-IP>:4005
```
**With Ingress (domain-based access):**
```bash
helm install databasus oci://ghcr.io/databasus/charts/databasus \
-n databasus --create-namespace \
--set ingress.enabled=true \
--set ingress.hosts[0].host=backup.example.com
```
For more options (NodePort, TLS, HTTPRoute for Gateway API), see the [Helm chart README](deploy/helm/README.md).
---
## 🚀 Usage
1. **Access the dashboard**: Navigate to `http://localhost:4005`
2. **Add your first database for backup**: Click "New Database" and follow the setup wizard
3. **Configure schedule**: Choose from hourly, daily, weekly, monthly or cron intervals
4. **Set database connection**: Enter your database credentials and connection details
5. **Choose storage**: Select where to store your backups (local, S3, Google Drive, etc.)
6. **Add notifications** (optional): Configure email, Telegram, Slack, or webhook notifications
7. **Save and start**: Databasus will validate settings and begin the backup schedule
### 🔑 Resetting password <a href="https://databasus.com/password">(docs)</a>
If you need to reset the password, you can use the built-in password reset command:
```bash
docker exec -it databasus ./main --new-password="YourNewSecurePassword123" --email="admin"
```
Replace `admin` with the actual email address of the user whose password you want to reset.
---
## 📝 License
This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) file for details
---
## 🤝 Contributing
Contributions are welcome! Read the <a href="https://databasus.com/contribute">contributing guide</a> for more details, priorities and rules. If you want to contribute but don't know where to start, message me on Telegram [@rostislav_dugin](https://t.me/rostislav_dugin)
--
## 📖 Migration guide
Databasus is the new name for Postgresus. You can stay with latest version of Postgresus if you wish. If you want to migrate - follow installation steps for Databasus itself.
Just renaming an image is not enough as Postgresus and Databasus use different data folders and internal database naming.
You can put a new Databasus image with updated volume near the old Postgresus and run it (stop Postgresus before):
```
services:
databasus:
container_name: databasus
image: databasus/databasus:latest
ports:
- "4005:4005"
volumes:
- ./databasus-data:/databasus-data
restart: unless-stopped
```
Then manually move databases from Postgresus to Databasus.
### Why was Postgresus renamed to Databasus?
It was an important step for the project to grow. Actually, there are a couple of reasons:
1. Postgresus is no longer a little tool that just adds UI for pg_dump for little projects. It became a tool both for individual users, DevOps, DBAs,teams, companies and even large enterprises. Tens of thousands of users use Postgresus every day. Postgresus grew into a reliable backup management tool. Initial positioning is no longer suitable: the project is not just a UI wrapper, it's a solid backup management system now (despite it's still easy to use).
2. New databases are supported: although the primary focus is PostgreSQL (with 100% support in the most efficient way) and always will be, Databasus added support for MySQL, MariaDB and MongoDB. Later more databases will be supported.
3. Trademark issue: "postgres" is a trademark of PostgreSQL Inc. and cannot be used in the project name. So for safety and legal reasons, we had to rename the project.