n8n vs Make: Setup, Hosting, Pricing and Control (2026)

✓ ReviewedLast updated June 25, 2026 by Florian Schröder

Part of our AI Agents Guide. For the full picture, see our complete AI Agents Guide.

BLUF: Choose n8n when self-hosting, infrastructure control, technical extensibility, or complex workflow logic are central requirements. Choose Make when a managed cloud service and a business-user-friendly scenario builder matter more than infrastructure ownership.

Do not choose on connector counts or a single monthly price. Compare the exact apps, operations, governance requirements, execution volume, and support model your workflows need.

n8n and Make solve the same broad problem: connecting applications and automating multi-step processes. Their operating models are different enough, however, that the better platform depends on who will build the workflows, where data may be processed, and who will operate the system after launch.

n8n vs Make at a glance

Decision factor n8n Make
Hosting Managed n8n Cloud or self-hosted deployment Managed cloud platform
Best fit Technical teams, custom logic, infrastructure control Business teams, rapid visual automation, managed operations
Workflow model Node-based workflows with expressions, Code nodes, APIs, and sub-workflows Visual scenarios built from modules, routers, filters, and data mappings
Operations burden Low with n8n Cloud; significant when self-hosted Infrastructure is operated by Make
Data control Highest with a correctly operated self-hosted deployment Subject to Make’s cloud architecture, region, plan, and contract
Pricing evaluation Compare plan execution limits plus self-hosting infrastructure and labor Compare credits or operations consumed by the actual scenario design

The core difference: operating model

n8n offers two operating paths. Teams can use the managed cloud service or operate n8n on their own infrastructure. Self-hosting creates control, but it also transfers responsibility for updates, TLS, backups, monitoring, database operation, secrets, scaling, and incident response to your team.

Make is a managed cloud service. Users build and run scenarios without operating the underlying application stack. This reduces platform administration, but it also means that deployment architecture and data-processing options must be evaluated against Make’s current documentation and contract.

The practical question is not simply “cloud or self-hosted?” It is whether infrastructure control is a business requirement and whether the organization has the skills and capacity to operate that infrastructure reliably.

Setup and deployment

Setting up n8n

n8n Cloud removes most infrastructure work. A self-hosted deployment requires a supported installation method, persistent storage, a public base URL where needed, secure credential handling, backups, and an update process. The official documentation provides a Docker-based installation path and warns that self-hosting requires technical knowledge.

For production, avoid treating a local test container as a complete operating model. Define where the database and binary data live, how backups are restored, how secrets are rotated, and how failures are monitored before business-critical workflows are activated.

Setting up Make

Make users create a scenario in the browser, select modules, connect accounts, map data, add filters or routers, and schedule or trigger the scenario. The infrastructure is managed by Make, so the implementation effort is concentrated on process design, credentials, mappings, exception paths, and usage governance.

A managed platform is not automatically maintenance-free. API changes, expired credentials, changed field mappings, and business-process changes still require ownership. The difference is that Make operates the automation platform itself.

Workflow building and technical flexibility

n8n favors explicit technical control. Teams can work with built-in nodes, the HTTP Request node, expressions, JavaScript or Python in supported Code node contexts, sub-workflows, and self-hosted infrastructure integrations. This is useful when a workflow must transform complex payloads or connect to an API without a purpose-built node.

Make favors visual scenario composition. Its module and mapping model can be easier for operations and marketing teams to read. Routers, filters, iterators, aggregators, and error handlers cover many common automation patterns without requiring infrastructure access.

Neither platform removes the need for API knowledge. Complex authentication, pagination, rate limits, idempotency, and partial failures remain engineering concerns even when the workflow is represented visually.

Integrations: verify the exact operation, not the headline count

Connector catalogs change continuously, and headline counts can be misleading. One platform may list an app but lack the trigger or action your process needs. Another may require the generic HTTP module but still support the API fully.

  1. List every required trigger, action, search, and file operation.
  2. Confirm the authentication method and required scopes.
  3. Check pagination, webhook, and rate-limit support.
  4. Build a proof of concept with representative data.
  5. Test error handling and replay behavior before comparing cost.

Pricing: model a real workflow

Pricing pages and plan limits change. A durable comparison therefore uses a workload model rather than fixed prices copied into an article.

For n8n, compare the current cloud plan limits or the full cost of self-hosting: infrastructure, database, backups, observability, upgrades, security work, and on-call ownership. For Make, model how the current credit or operation rules apply to each module and each execution path in your scenario.

Use at least three workload levels: normal volume, seasonal peak, and failure or retry volume. A platform that appears inexpensive in a happy-path demo may cost more when scenarios branch, poll frequently, process bundles individually, or retry failed requests.

Security, privacy, and governance

Self-hosting can support strict data-location and network requirements, but only if the deployment is secured and operated correctly. Ownership of the server does not by itself create compliance. Access control, encryption, backups, logging, patching, retention, and incident response still need documented controls.

With Make or n8n Cloud, evaluate the provider’s current data-processing terms, regions, subprocessors, security features, retention controls, and enterprise options. Procurement should validate the contract rather than relying on a general “GDPR compliant” statement.

For either platform, use least-privilege credentials, separate development from production, document workflow owners, and define how disabled employees or revoked apps are removed from automations.

Which platform should you choose?

Choose n8n when

  • self-hosting or private-network access is a firm requirement;
  • developers need deep control over payloads, APIs, and custom logic;
  • your team can operate the deployment or will use n8n Cloud;
  • complex workflows benefit from explicit technical debugging and sub-workflows.

Choose Make when

  • business users will own most automations;
  • a managed platform is preferred over infrastructure ownership;
  • the required apps and operations are well covered by Make modules;
  • rapid visual prototyping and handover are primary concerns.

Use a controlled pilot before committing

Build the same representative process in both platforms. Include authentication, branching, pagination, an intentional API failure, a retry path, and monitoring. Record build time, execution consumption, operator effort, and recovery behavior. This produces a defensible decision without invented universal break-even points.

Editorial verdict

n8n is the stronger default for technically owned automation where control and extensibility matter. Make is the stronger default for cloud-first business automation where ease of visual composition and managed operations matter. The final choice should follow the workflow and governance requirements, not community hype or connector totals.

Official sources and further reading

Frequently asked questions

Can n8n be self-hosted?

Yes. n8n documents self-hosted installation options, including Docker. Self-hosting transfers security, updates, backups, monitoring, and availability responsibilities to the operator.

Can Make be self-hosted?

Make is offered as a managed cloud automation platform. Organizations with strict infrastructure-control requirements should evaluate whether Make’s available enterprise, region, and contractual options meet those requirements.

Is n8n open source?

n8n publishes source code under its Sustainable Use License. It is commonly described as fair-code rather than using a standard OSI-approved open-source license. Review the current license for permitted uses.

Which is cheaper, n8n or Make?

There is no universal answer. Compare current plan rules against a representative workflow, including branches, polling, retries, infrastructure, and operational labor.

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