PostgreSQL backup tool
Databasus is a free, open source and self-hosted tool to backup PostgreSQL. Make backups with different storages (S3, Google Drive, FTP, etc.) and notifications about progress (Slack, Discord, Telegram, etc.). With a focus on Point-in-Time Recovery at low RPO/RTO
[](https://www.postgresql.org/) [](https://www.mysql.com/) [](https://mariadb.org/) [](https://www.mongodb.com/)[](LICENSE) [](https://hub.docker.com/r/databasus/databasus) [](https://github.com/databasus/databasus) [](https://github.com/databasus/databasus) [](https://github.com/databasus/databasus)
Features • Installation • Usage • License • Contributing
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## 📦 Installation
You have four 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
healthcheck:
test: ["CMD", "databasus", "healthcheck"]
interval: 30s
timeout: 5s
retries: 3
start_period: 60s
```
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://