OpenRemote
Self-HostedOpen-source IoT platform for device management, automation, and analytics
Overview
OpenRemote is a flexible open-source IoT platform unifying device management, automation, and data analytics. It supports protocols like MQTT, HTTP, CoAP, integrating smart devices, sensors, and industrial systems. Users build custom dashboards for real-time monitoring, create rule-based workflows, and analyze IoT data. Deployable via Docker/Kubernetes, it works on-prem, cloud, or edge—ideal for small projects to enterprise-scale solutions. It prioritizes privacy and control, letting you manage your IoT ecosystem without vendor lock-in.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
openremote:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: openremote
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- Multi-protocol IoT device integration (MQTT, HTTP, CoAP)
- Customizable dashboards for real-time monitoring
- Rule-based automation workflows
Frequently Asked Questions
? Is OpenRemote hard to install?
OpenRemote simplifies basic installation via Docker/Kubernetes. However, configuring advanced features like custom protocol integrations or enterprise scaling may require IoT and containerization expertise.
? Is it a good alternative to AWS IoT Core?
Yes—OpenRemote is ideal for users wanting open-source, self-hosted IoT solutions to avoid vendor lock-in. While AWS IoT Core offers managed cloud services, OpenRemote excels at on-prem deployments and flexible customization.
? Is it completely free?
OpenRemote is 100% open-source and free to use. No licensing fees apply, though users may incur costs for server hardware, cloud hosting (if used), or professional support from the OpenRemote team.
Top Alternatives
People Also Ask about OpenRemote
Tool Info
Pros
- ⊕ Full control over data with self-hosted/open-source model
- ⊕ Broad protocol support for diverse IoT devices and systems
Cons
- ⊖ Steep learning curve for advanced configurations
- ⊖ Requires technical expertise for custom integrations