n8n vs. Copilot Studio

n8n can run in n8n Cloud or on infrastructure your team controls. Self-hosting gives you more say over where the platform runs and how it fits into your existing environment, but it also means your team owns the deployment and its upkeep.

For higher workloads, n8n scales using queue mode. The main instance handles tasks like timers and webhook requests, then passes workflow executions to workers through a Redis-backed queue. You can add workers as demand grows instead of redesigning the workflows themselves.

Copilot Studio takes a managed approach. Agents run in Microsoft’s cloud rather than infrastructure you deploy yourself, so there’s no equivalent self-hosting path to manage.

Once an agent is ready, you publish it and make it available through supported channels like Microsoft Teams and Microsoft 365 Copilot. Microsoft handles the underlying platform infrastructure, which reduces your operational burden but also provides less control over where that infrastructure runs.

On paid plans, n8n uses granular RBAC to manage what people can do within the platform. Projects provide another layer of separation, letting you limit access to specific workflows and credentials instead of giving everyone the same level of control.

Permissions depend on the user’s role and plan. n8n documents the available roles for instance and project-level access. Business plans and higher add SSO, and the Enterprise tier includes audit logging for tighter governance.

Copilot Studio inherits much of its security model from Microsoft’s cloud and Power Platform. You can use DLP policies to control which connectors agents can use and how data moves between them.

Microsoft also handles data residency and compliance within its hosted environment. If your team already manages security through Microsoft, you can keep agent governance within that existing framework rather than introducing a separate one.

n8n gives you 1,000+ prebuilt and community integrations for connecting workflows to business apps, databases, developer tools, and AI services. Prebuilt nodes handle much of the setup you’d otherwise have to build yourself, like authentication and common API operations.

Community and partner-built nodes extend what you can connect to, and the HTTP Request node lets you work with services that don’t have a dedicated node. This allows your workflows to cross different vendors instead of staying inside one ecosystem.

For AI-powered workflows, n8n offers an MCP client node that connects to third-party MCP servers. The MCP Trigger node allows you to build your own MCP Servers and host them within n8n.

Copilot Studio uses Power Platform connectors to give agents access to other applications and services. If you already use Power Platform automation, that means your agents can work with many of the same connections you’ve already built into that environment.

You can extend agents beyond those connectors with HTTP requests and MCP. But Copilot Studio is simpler and faster to configure when the systems you need to connect are already part of Microsoft’s ecosystem.

n8n lets you build custom AI agents as part of a larger workflow. Connect a chat model and tools to the AI Agent node, and the agent decides which tools to call to complete actions. n8n’s visual canvas lets you see how the agent connects to the rest of your automation.

For more complex setups, you can use the AI Agent Tool node to let one agent call other agents as tools. This allows you to split work between specialized agents without moving outside the workflow.

You also have flexibility over the models you use. n8n supports multiple models, with providers including OpenAI, Anthropic, Google, Moonshot Kimi and others. n8n’s Ollama node lets self-hosted instances run local models, with no data leaving the infrastructure and no vendor API.

Users who are less tech-savvy can use personal agents. This n8n feature simplifies the process of creating agents, while the agents remain within your n8n instance, completely under your control.

Copilot Studio takes a more managed approach to building AI agents. You define an agent’s instructions and knowledge in its visual authoring environment, then give it tools to complete tasks. Copilot Studio also supports connected agents, allowing a primary agent to delegate tasks to other specialized agents.

Copilot Studio keeps more of the AI stack within Microsoft’s environment. While it provides built-in access to OpenAI and Anthropic LLMs, admins need to extend model access through Azure AI Foundry.

This platform doesn’t offer a way to manage local models. That point can carry weight when comparing AI agent builders. With Copilot Studio, all models are hosted in the cloud, so n8n may be a better choice if you work in a heavily regulated environment.

n8n is visual, but you don’t have to stay inside the visual interface. When a workflow needs logic that’s not covered by a node, the Code node lets you add JavaScript or Python directly to the workflow.

That gives you room to handle edge cases without moving the whole automation into a separate codebase. You can use nodes for the straightforward parts, then add code wherever you need custom logic or complex data transformations.

Copilot Studio is geared more toward low-code development. You can build much of an agent through its visual tools and extend it when you need more specialized behavior.

You can extend agents with MCP tools from the low-code canvas, but pro-code development happens separately through Microsoft’s SDK. That’s different from n8n, where JavaScript or Python can sit directly inside the same visual workflow.

n8n lets you inspect workflow executions node by node to see where a run failed and what data reached that point. That gives you the context to troubleshoot the failure without piecing together logs from separate tools.

You can also build error handling into the workflow itself. The Error Trigger node can start a dedicated error workflow when an execution fails, while the Stop And Error node lets you deliberately stop a workflow when your own conditions are met.

Copilot Studio gives you an activity map when you test an agent. It traces the agent’s decisions as the conversation runs, giving you a visual way to follow what happened and where things went wrong.

The activity map also flags problems like missing or invalid parameters. You can inspect the affected step in the test session and use that context to track down the issue.

n8n prices its paid plans around monthly workflow executions. One execution is a complete workflow run, regardless of steps inside that execution. The plans differ in execution volume, hosting, and advanced features.

The n8n plans break down like this:

• Starter: $20/month billed annually for 2,500 workflow executions per month. It’s hosted by n8n and includes five concurrent executions, one shared project, and unlimited users.
• Pro: $50/month billed annually for 10,000 monthly executions. It raises concurrency to 20 and adds three shared projects, admin roles, workflow history, and execution search.
• Business: $800/month billed annually. It’s self-hosted and adds six shared projects, SSO with SAML and LDAP, separate environments, scaling options, and Git version control.
• Enterprise: Custom pricing and execution volume. You can run it hosted by n8n or self-hosted. It adds unlimited shared projects, 200+ concurrent executions, extended data retention, audit logging, log streaming, and dedicated support with an SLA.

There’s also a free, self-hosted Community Edition outside these paid plans.

Copilot Studio pricing is based on Copilot Credits, not workflow executions. Credits are consumed when an agent performs work, and the amount varies depending on the action or response. Microsoft gives you several ways to pay for that usage:

• Copilot Credit capacity packs: $200 per pack per month for 25,000 Copilot Credits. Capacity is shared across the tenant, and unused credits don’t roll over.
• Pay-as-you-go: There’s no upfront license commitment. You pay for the Copilot Credits you consume at the end of each monthly billing period (requires an active Azure subscription).
• Pre-purchase plan: You buy Copilot Credit Commit Units upfront. Pay-as-you-go coverage is available if you run through your prepaid credits.
• Microsoft 365 Copilot: $30 per user/month, paid yearly. Licensed users can build and use internal agents within Microsoft 365 at no additional cost. If you want autonomous agents or agents published to external channels like websites and apps, you’ll need standalone Copilot Studio.