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It's a split decision.
Docker and Windmill solve different layers of a stack. Docker provides container development tools and agent sandboxes with local or cloud execution; choose it when container workflows, isolation or hardened images are the requirement. Windmill runs scripts, workflows, data pipelines, apps and agents on an orchestration engine, with a free open-source option and Docker or Kubernetes self-hosting. Choose Windmill for scheduled automation and internal tools. They can also fit together: Windmill can be self-hosted on Docker.
01Side by side
| Docker | Windmill | |
|---|---|---|
| Pricing model | Per-user subscriptions; hardened images priced separately | Free OSS; Enterprise starts $120/month plus seats and compute |
| Free tier | Personal: 1 user, 100 Docker Hub pulls/hour | Free: up to 50 users, unlimited executions |
| Self-hosting | Local tools and cloud sandboxes; governance self-hosting unclear | Self-host on Docker or Kubernetes |
| API and SDKs | Agent CLI and MCP policy; public SDK details not published | Webhooks, REST/GraphQL calls; six script languages |
| Integrations | Existing images, registries, CI, Claude and MCP | Stripe, PostgreSQL, Snowflake, HubSpot, Slack and Teams |
| Deployment model | Local containers; agent sandboxes local or cloud | Windmill Cloud or self-hosted on Docker/Kubernetes |
| Platforms | Mac, Windows and Linux | Web interface; self-hosted on Docker/Kubernetes |
| Limits and scaling | Plan-based pulls, Scout repos and Testcontainers minutes | Unlimited executions; paid scale depends on seats and compute |
Docker Choose Docker if
- Choose Docker if container development is your primary workflow.
- Choose Docker if agent sandbox isolation is the requirement.
- Choose Docker if you need hardened images and MCP servers.
Windmill Choose Windmill if
- Choose Windmill if you need DAG workflows with retries and approvals.
- Choose Windmill if you want to self-host on Docker or Kubernetes.
- Choose Windmill if scripts, apps and pipelines belong in one platform.
02Pricing at real usage
Docker Personal is free for one user and includes one Docker Scout-enabled repo, one private Docker Hub repo and 100 pulls per hour. Pro costs $11 per user monthly or $9 billed annually; Team is $16 or $15, and Business is $24 under either billing option. Those plans include different amounts of Testcontainers Cloud runtime minutes, with extra minutes priced at $3 per 100 and on-demand minutes at $4 per 100. DHI Community is free; DHI Select starts at $5,000 per repo.
Windmill's free, open-source plan includes unlimited executions, up to 50 users and three workspaces. Enterprise starts at $120 per month. Its pricing simulator lists builders at $20 monthly, non-builders at $10 and workers at $50 each; one example totals $170. Paid costs therefore grow with seats and compute, not just execution count.
03API, SDKs and integration
Docker fits into an existing container stack: its homepage points to current images, registries and CI, and says the platform is OCI-compliant. It shows an agent CLI command and names Claude and MCP, including a governance console for sandbox and MCP policy. The homepage doesn't list a public programming SDK or API surface, so teams needing one should confirm the supported interfaces and their stability with Docker.
Windmill is built around code that becomes runnable jobs and interfaces. It supports Python, TypeScript, Go, PHP, Bash and SQL scripts, and gives each script and flow autogenerated webhooks. Scripts can call REST and GraphQL APIs; named integrations include Stripe, PostgreSQL, Snowflake, HubSpot, Slack and Teams. Developers can build in the UI or locally and collaborate through Git-based workflows. The homepage describes DAG-based flows, schedules and generated UIs; it does not name a client SDK. Windmill is the more direct fit when an API call, script, schedule and workflow need to live in one automation layer.
04Open source, self-hosting and lock-in
Windmill is open source and can be self-hosted with Docker or Kubernetes. Its homepage describes Git-based collaboration, which gives teams a code-oriented path for managing work. The vendor doesn't publish a data-export format in its homepage; ask how to export workspace configuration, secrets, job history and app data before committing.
Docker describes an OCI-compliant, platform-independent container stack and says teams can keep their existing images, registries and CI. Those standards and existing components can reduce changes to a container workflow, but they don't establish portability for sandbox policies or governance records. Docker's homepage doesn't state a licence for the platform or give a self-hosting deployment specification for its governance layer. Windmill's homepage identifies it as open source but doesn't name the licence. For either product, confirm export and migration paths for stateful data and security policies, not just source code or container images.
Questions people ask
Is Windmill an alternative to Docker?
Not as a direct replacement. Docker provides container development tools and agent sandboxes. Windmill is a workflow orchestrator for scripts, data pipelines, apps and agents. Windmill can run self-hosted on Docker, so the two can also sit at different layers of the same stack.
Can Windmill run on Docker?
Yes. Windmill says teams can self-host it with Docker or Kubernetes. It also offers Windmill Cloud. The self-hosted option suits teams that want to run its orchestration platform on their own infrastructure.
Which is better for AI agents?
It depends on the requirement. Docker emphasizes MicroVM-isolated agent sessions, network and filesystem controls, and governance for sandboxes and MCP. Windmill offers agents alongside scripts and workflows, with support for 12 providers or a model behind an OpenAI-compatible endpoint.
Is Docker considered a VM?
Docker describes tools for building, running and governing containerized apps. Its agent sandbox feature uses MicroVM isolation, but that does not make Docker's container platform itself a VM. If you need to know the isolation boundary for a particular workload, check the specific runtime and deployment configuration.