Opfield vs Portainer
Portainer is a widely used UI for managing container environments. Opfield also manages containers, and runs the rest of the service layer around them: ingress and certificates, failover, managed databases, backups, monitoring and access control.
Portainer
Teams that want one graphical interface for the container environments they already run, such as Docker, Docker Swarm and Kubernetes, with a free Community Edition and a commercial Business Edition.
Opfield
Teams that want more than a container UI: routes and certificates, releases, failover, databases and backups, monitoring and access, all for a fleet of servers in one product.
Side by side
What this page says about Portainer comes from public documentation, checked in October 2026. If something is out of date, tell us and we will fix it. Tell us
What Opfield adds
Opfield is one control plane for many servers, built so production keeps running and a team can share it safely.
When Portainer is the better choice
- You mainly need a UI over existing Docker, Swarm or Kubernetes environments, and other tools already handle ingress, databases and backups.
- You run Kubernetes and want to keep it.
- You want a free, open-source container UI.
Moving to Opfield
Move one service or one layer at a time, and keep the old setup until each part answers through Opfield.
- 01Install Opfield on its own host and add your Docker servers as Nodes. Running containers appear in Opfield without an import, and Portainer can keep running while you move.
- 02Stacks started with Docker Compose are discovered from their Compose labels, with services, health and logs on every plan.
- 03Adopt a stack to manage it in Opfield (Personal and higher): paste the Compose file and named volumes keep their names and data.
- 04Give each group access to the containers and projects it works with, then retire per-host panels once every resource has one owner.
Run your fleet from one field.
Install Opfield on your own server in minutes, or talk to us about rolling it out across your teams.
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