Foreman
6.9#3 in bare metal provisioning softwareFree planFree planWebAPILinuxSelf-hosted
VisitForeman vs MetalSoft Bare Metal Orchestrator
MetalSoft Bare Metal Orchestrator
5.9#7 in bare metal as a service (bmaas) softwareWebAPILinuxSelf-hosted
VisitWhat both publish
| Fact | Foreman | MetalSoft Bare Metal Orchestrator |
|---|---|---|
| Automation | Foreman helps system administrators automate repetitive tasks, deploy applications, and manage servers on-premise or in the cloud. | The product supports automatic enrollment, console proxying, custom ISOs, GPU detection, an AI troubleshooting assistant, and an MCP control plane for automation. |
| Provisioning | Foreman provisions bare-metal systems and instances across virtualization environments and public or private clouds. | Features include automatic inventory, virtual media-based OS deployment, multi-vendor firmware management, cabling detection, and secure cleanup and decommissioning. |
| Purpose | Foreman is an open-source tool for managing servers through provisioning, configuration, orchestration, and monitoring. | Bare Metal Orchestrator provisions, re-provisions, and manages general-purpose and specialized servers across generations and vendors. |
| Support | Community support is available through the Discourse support board and a public Matrix room; the project says its support room is not an official support channel. | The product page lists professional services, integration services, custom hardware drivers, and 24/7 technical support. |
Foreman plans
- ForemanFree
MetalSoft Bare Metal Orchestrator plans
- MetalSoft Bare Metal OrchestratorPriced on request
Pick Foreman if…
Foreman is aimed at system administrators managing physical or virtual servers across on-premise and cloud environments. It is better suited to people with Linux system administration knowledge than to newcomers to server management.
Pick MetalSoft Bare Metal Orchestrator if…
It suits organizations managing bare-metal infrastructure across sites, vendors, or hybrid environments, including AI and HPC workloads. Teams planning Kubernetes-based deployments need to provide a cluster and a Site Controller VM at each site.