n8n vs Make vs Zapier: Compare Cost, Control and Maintenance + Free Automation Platform Decision Template (Word)
The weakest way to choose an automation platform is to start with the cheapest monthly fee. Begin with the workflow: how many actions one enquiry creates, where failure is most likely, who will maintain it and whether a failed run can be replayed safely.
As a starting point, Zapier suits teams that want fast connections across common SaaS tools; Make is strong for visual branching and data transformation; n8n offers deeper control, custom logic and self-hosting options when technical ownership exists. This is a shortlist, not a universal ranking.
One-minute comparison
Decision area | n8n | Make | Zapier |
|---|---|---|---|
Billing basis | Cloud plans mainly count complete workflow executions; self-hosting adds infrastructure and operations | Credits; a non-AI module operation commonly consumes one credit | Mainly successful action tasks and plan tier |
Building model | Node-based, suitable for APIs and custom logic | Visual scenarios with clear mapping and branching | Straightforward Zaps across a broad SaaS catalogue |
Control | n8n Cloud or self-hosting; self-hosting still requires operations | Hosted execution environment | Hosted service designed for rapid activation |
Maintenance | Medium to high: versions, credentials, logs and recovery need ownership | Medium: understand credits, bundles and error routes | Low to medium for standard flows; governance still matters at scale |
Best starting fit | Technical integrations, internal systems and complex logic | Operations teams and branched data workflows | Fast SaaS integration and standard department processes |
The billing units are not interchangeable. n8n describes cloud usage in workflow executions, Make now uses credits, and Zapier uses tasks. A comparison that treats a one-action and ten-action run as equal will mislead the budget.
Put the same lead workflow through each platform
Use one concrete example: website form → validate required fields → classify service → create CRM record → notify the owner → send acknowledgement → remind the owner if untouched after two days.
n8n: more control, with real operational ownership
n8n can keep validation, routing, API calls, transformations and failure branches in one workflow. It is attractive where a team connects internal databases, needs custom logic or has a genuine self-hosting requirement. Someone must still own upgrades, backups, credentials, monitoring and incidents.
Make: highly visible branching, but count credits
Make scenarios make it easy to see enterprise leads, recruitment messages and spam taking different routes. Data mapping is approachable for operations teams. Each module that processes data may consume credits, so polling, search modules and large bundles need volume testing.
Zapier: quickest start, but count every action
Zapier can connect forms, email, CRM and team notifications rapidly. Standard flows are easier to hand over. As Paths, AI actions, retries and downstream actions accumulate, task usage can rise. Calculate complete tasks per enquiry multiplied by monthly volume.
Calculate total cost, not subscription price
Model five buckets: subscription, platform usage, third-party API or AI usage, initial build and testing, and ongoing maintenance. Self-hosted software can reduce one SaaS charge while adding server, security, backup and engineering costs.
A useful model is: monthly total = fixed platform fee + variable unit cost × runs + third-party services + maintenance hours × labour cost. Test it at 100, 1,000 and 10,000 monthly runs, including polling and retries.
For Hong Kong planning, Allua would normally scope HK$8,000–25,000 for one standard workflow and HK$20,000–60,000 for a workflow involving CRM, permissions, AI classification and human handoffs, over roughly one to four weeks. These are planning ranges, not vendor prices.
Design the failure path before launch
At minimum, define a unique record ID, deduplication, data minimisation, credential scope, failure alerts, safe replay, human takeover, change history and a shutdown procedure.
Classify risk: internal reminders may run automatically; customer replies should use approved templates; refunds, contracts, deletion and high-value quotations should require a person. AI classification needs an “uncertain” branch instead of a forced answer.
Free resource: Automation Platform Decision Template
Compare integrations, permissions, recovery and monthly costs, with a record of your scoring reasons. Get an editable Word version to adapt and reuse for your team.
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How to use it: score each question for requirement importance and platform fit from 0 to 2, then multiply the two. The highest total earns a controlled pilot, not automatic production approval.
01｜Which systems must connect?
Record the production system, version, account owner and API availability.
02｜How many monthly triggers?
Model low, expected and high cases for webhooks, manual triggers and polling.
03｜How many actions per run?
Count searches, creates, updates, notifications, AI calls and retries against the vendor's billing unit.
04｜Does the flow handle sensitive data?
List minimum fields, retention, roles and location requirements.
05｜Is self-hosting genuinely required?
Separate a contractual or regulatory need from a preference, and price the operational responsibility.
06｜Who owns maintenance?
Name the role, monthly capacity and handover method.
07｜How will failure be detected?
Require logs, alerts, searchable runs and a named responder.
08｜Can a run be replayed safely?
Check for duplicate email, payment or CRM records.
09｜Which actions require approval?
Mark external messages, money, contracts, deletion and permission changes.
10｜Will the process change within three months?
For unstable processes, use a small replaceable pilot rather than embedding the entire operation.
11｜How difficult is exit or migration?
Require workflow exports, documentation, credentials inventory and a manual fallback.
12｜How will success be measured?
Track handling time, failure, rework, qualified enquiries and labour saved—not just run count.
Worked example
A services firm receives about 300 web enquiries a month, uses Google Workspace and a cloud CRM, and has operations staff but no server administrator. Self-hosting importance scores 0; rapid SaaS connection and visual branching score 2. Pilot 20 enquiries in Make or Zapier and compare complete usage plus error handling. Reconsider n8n if internal database and custom logic needs later become material.
Frequently asked questions
Is n8n always cheapest because it is open source?
No. Licence cost is only one line. Hosting, updates, security, monitoring and engineering support remain.
Which is easier, Make or Zapier?
Zapier is often faster for simple linear flows. Make can be clearer for branching and data mapping. A pilot using your own process is more reliable than an abstract verdict.
Can a company use all three?
Yes, if every workflow has one system of record and one owner. Otherwise debugging, permissions and costs fragment.
What is most often missed in migration?
Credentials, environment variables, retries, time zones, execution history and the manual fallback.
Turn the comparison into an executable workflow
Share one repetitive process, connected systems, monthly volume, risky actions and budget. Allua can map the workflow, platform choice, human approvals, recovery route and estimated monthly operating cost before deciding what should be automated. Contact Allua
Information checked: 2026-10-13. Plans, units and features change; confirm official pages and a formal quotation before purchase. Allua ranges are planning recommendations and vary with integrations, volume, permissions and testing.
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