n8n vs Make: Choose by Workflow and Ownership

Start with Make for shared SaaS automations unless custom logic, controlled releases or runtime ownership are firm needs

Start with Make when an operations team needs to connect established SaaS apps and share responsibility for the resulting automations. That is our baseline buyer for this comparison. Its scenario canvas is a useful starting point for work such as validating a new lead, updating a CRM, notifying an owner and routing exceptions. Choose n8n earlier when custom logic, controlled releases or ownership of the runtime is a firm requirement.

Both products have visual builders. Make's learning curve includes bundles, arrays, mapping and the way records move through modules; a complicated scenario still needs a capable maintainer. n8n also supports managed Cloud, so choosing its node-based builder does not require choosing self-hosting. Evaluate the editor your team can maintain separately from who will operate the servers. Make operation model, n8n deployment choices.

For a repeatable business process, start with explicit rules. Both platforms support branching and data transformation without an agent. Add an AI step for a bounded task such as classification or summarization; use an agent when selecting tools is itself part of the job. Make distinguishes these three patterns in its documentation, and its AI Agent (New) app remains in open beta. Make's workflow and agent guidance.

Check the exact actions your process needs before counting integrations. A connector logo does not establish support for your required endpoint, attachment or pagination pattern. Both platforms provide HTTP options for gaps: n8n can reuse credentials and import cURL requests, while Make HTTP v4 includes native pagination. The maintainer still needs to understand authentication, response data and API limits. n8n HTTP Request, Make HTTP.

Custom code, self-hosting the whole platform and gated approvals are where Make loses the default

n8n becomes the stronger trial when custom transformations are central to the workflow and a technical owner will maintain them. Its Code node supports JavaScript and Python, but Cloud has important import restrictions. Required packages may move the decision toward a configured self-hosted runtime. Make also runs JavaScript and Python through Make Code on paid plans; that app is open beta, and custom library imports require Enterprise. n8n Code, Make Code.

A requirement to operate the complete automation platform inside your own infrastructure points to n8n. Make's Enterprise on-premise agent connects local HTTP systems to its cloud service; it does not relocate the whole platform. With n8n, separately check the edition: free Community excludes capabilities such as shared credentials, SSO and Git-based environments. Hosting control and team governance are different purchases. Make on-premise agent, n8n editions.

Approval design can also change the choice. n8n can pause selected agent tool calls and show a reviewer the proposed action before approval or denial. Make's native Human in the Loop app is an invited Enterprise closed beta; its documented alternative patterns combine routing, webhooks and stored decisions. In either design, an approval must actually gate the write or send action. A prompt asking an agent to seek permission is insufficient. n8n tool review, Make native approvals, Make approval patterns.

For teams moving changes between development and production, n8n's Business and Enterprise plans provide Git-backed environments. Make provides restoration of manually saved scenario versions for up to 60 days, plus recovery of unsaved edits. These are useful recovery tools; your release procedure must also define review, credentials, activation and rollback. Test that procedure with a second maintainer before buying a governance tier. n8n source control, Make version recovery.

Executions per run against Make credits per module: compare the same workload on each meter

n8n Starter includes 2,500 monthly executions, while Make Core offers a 10,000-credit tier. n8n's listed euro prices and Make's dollar-denominated selector are not a like-for-like cost calculation. Make's live and indexed pricing displays differed during research, so confirm the checkout currency, applicable offer, selected allowance, taxes and billing cycle before budgeting. Annual monthly equivalents require an annual commitment. n8n pricing, Make pricing.

Compare the same workload using each meter. As an illustration, assume 1,000 incoming events, one n8n production run per event, and ten one-credit Make module runs per event, including any billable trigger. That represents 1,000 n8n executions or 10,000 Make credits. Actual totals depend on batch size, polling checks, record fan-out and recovery runs. Measure those in execution histories before projecting a monthly bill. n8n execution billing, Make operations.

Separate automation fees from model and service usage. n8n workflows can use your own provider credentials and external provider billing. Eligible Starter and Pro Cloud instances also offer prepaid Gateway credits for supported models and services; this route is unavailable on Cloud Enterprise and self-hosted n8n. Gateway balances are distinct from the AI Assistant credits used while building workflows. n8n Gateway credits.

Make-provided AI can consume credits for both operations and tokens. A custom provider connection puts the provider's token bill with you while Make still meters its own usage; agent tools and knowledge processing need separate attention. Make Code uses two credits per second of execution, and purchased extra credits carry a 25% surcharge over the plan's credit rate. A short scenario can therefore consume substantial credits. Make AI billing, agent and knowledge usage, code charges, extra credits.

Headcount can trigger a plan upgrade even when usage is modest. n8n's paid plans include unlimited users, but shared projects and permissions vary; Make adds multiple teams and team-role management from Teams. Separately, self-hosted Community removes the software subscription charge while leaving hosting, backups, patching and incident work with your team. Price the required paid edition and operational labor before assuming self-hosting saves money. n8n pricing, Make team boundaries, n8n security responsibilities.

Pilot one realistic workflow with forced failures, Make replays that rerun successful modules, and rejected approvals

This recommendation is based on official documentation and pricing evidence. Use a representative pilot to establish cost, reliability and maintenance effort for your own workload.

• Build the same workflow with realistic arrays, attachments and a paginated API. Have the future maintainer explain every branch and repair a deliberately invalid input.
• Trigger an API failure and an expired connection. Check what is saved, how retries behave and whether recovery can duplicate records or messages. Make replay processes the current scenario again, including previously successful modules.
• Test approvals with approval, rejection and no response. Confirm the native feature's plan and beta eligibility, plus who can authorize the final action.
• Test peak bursts, queue delay and large inputs. n8n concurrency limits and worker capacity, Make runtime limits and upstream API quotas are separate from the monthly usage allowance.
• Check team and credential access, SSO, audit evidence, retention and data location. Include every connected SaaS app and model provider in the data path; selecting a hosting region does not confine outbound requests.
• Price the subscription, extra usage, external models, paid governance features and operational labor together. Recheck annual commitments and credit expiry before enabling automatic purchases.

For recovery planning, use the documented n8n debugging flow and Make replay behavior. Review product fit through the n8n profile and Make profile, then follow the buying routes in n8n pricing and Make pricing.