n8n vs Zapier vs Make vs RPA: How to Choose an Automation Tool
Feature lists won't settle it. Run volume, where your data lives, and who maintains it will — five options, one table.
Pick an automation tool by run volume, data location, and who will maintain it — not by feature lists. Non-technical teams running light volume fit Zapier or Make; high volume or data that must stay in-house points to self-hosted n8n; legacy screens with no API call for RPA such as UiPath or Power Automate; and when automation is your competitive edge, write code. A 10-action workflow run 300 times a day produces 10x more billable units under per-step pricing than under per-execution pricing.
"Everyone says n8n is the one now"
Automation conversations usually open with a tool name. Someone has used Zapier, someone heard n8n is free, and IT came back with an RPA quote. All three are capable tools, which is exactly why the meeting runs long.
Lining up feature lists won't end it, because these tools overlap far more than their marketing suggests. What actually separates them is how often a workflow runs, where the data is allowed to live, and who fixes things when they break.
How do the five options compare side by side?
The table below puts each option's pricing structure and operating conditions on the same axes. Prices change often, so instead of exact figures it describes each pricing model and its general character as of public 2026 pricing.
The columns to watch are the pricing model and self-hosting. Learning curve dominates the first few months, but once you're running dozens of workflows, the billing unit and data location decide the total cost.
| Option | Pricing model | Self-hosting | Learning curve | Best-fit team | Main limits |
|---|---|---|---|---|---|
| Zapier | Each successful action step consumes a task; monthly plans tiered by task volume. Small free tier | No — cloud only | Low — non-developers can start the same day | Marketing, sales, and other non-technical teams connecting a handful of SaaS apps | Cost scales with step count as volume grows; complex branching gets awkward |
| Make | Each module run consumes credits (operations); monthly plans tiered by volume. Usually cheaper per unit than Zapier for the same job | No — cloud only | Medium — a few days to get comfortable with branching, iteration, and data mapping | Ops and e-commerce teams with branch-heavy, data-transforming flows | Large scenarios get hard to read visually; credits burn fast at high volume |
| n8n | Cloud plans priced per workflow execution, regardless of step count. Self-hosted Community edition has no license fee — servers and admin time are on you | Yes — install on your own server via Docker and similar | Medium-high — easier if you understand JSON and APIs | Teams with at least one developer or technically minded owner; high-volume flows | Self-hosting means you own updates, backups, and security. The license assumes internal business use |
| RPA (UiPath, Power Automate) | Licensed per user or bot. Power Automate is a per-user monthly subscription with unattended bots extra; UiPath enterprise is typically quoted | Partly — bots run on your PCs or servers; the control console is cloud or on-premises | Medium — screen recording gets you started fast, stabilizing takes time | Finance and back-office teams working in legacy systems without APIs; enterprise IT | Bots stop when the target screen changes; slower and more brittle than API integration |
| Custom code | No license — developer time plus hosting (AWS Lambda, scheduled jobs, etc.) | Yes — full control | High — requires developers | Companies where automation is part of service quality; high-volume, low-latency work | Hard to maintain once the author leaves; even small changes wait on the dev schedule |
Which one fits which situation?
Translate the table into situations and the rules get simple. For a non-technical team automating for the first time, learning time costs more than the subscription, so the right tool is whichever gets your first workflow running soonest.
Once you have dozens of workflows or customer personal data starts flowing through them, the criteria shift. Per-run cost, data location, and whether you can trace logs during an incident start to drive the decision.
Choosing by situation
- Zapier — a non-technical team connecting a few SaaS apps at a few thousand tasks a month or less; its app catalog is broad
- Make — branch- and transform-heavy flows you want to manage visually while keeping costs down
- n8n — high volume, data that must stay on your own servers, or logic that needs code nodes
- RPA — the target system has no API and the work only happens by clicking through screens
- Custom code — automation is part of what customers experience, or throughput and latency matter
Calculate cost as steps × runs
The most common mistake is comparing monthly subscription prices alone. A 10-action workflow run 300 times a day for 30 days executes about 90,000 steps. Per-step pricing counts that as 90,000 tasks; per-execution pricing counts 9,000 runs.
That doesn't make per-execution pricing automatically cheaper. Self-hosted n8n has no license fee, but server upkeep, version upgrades, and incident response all take people's time. Put even a few hours a month on the ledger and the comparison becomes fair.
Choose a tool you can leave
What we see most often in practice is a combination, not a single tool. Marketing runs lightweight alerts in Zapier, high-volume flows like orders and settlements run on n8n or code, and only screen-bound tasks such as bank-portal lookups go to RPA.
Whatever you pick, build so you can move later. Document each workflow's inputs, outputs, and owner; open accounts in the company's name; and keep core business logic in an API outside the tool. Migration gets much cheaper.
Frequently Asked Questions
- n8n is free — does that mean it costs nothing?
- The self-hosted Community edition has no license fee, but total cost isn't zero: you pay for servers and for someone's time on updates, backups, and security patches. The license is built around internal business use, so embedding n8n in a product where your customers build their own workflows requires a separate commercial agreement. Without someone to run it, n8n Cloud or Make can be the cheaper option.
- Why do RPA bots break so often?
- RPA clicks through the same screens a person sees, so when a button moves or a login flow changes, the bot simply stops. Banking and government portals with security plug-ins and frequent redesigns are especially prone to this. If the same task can be done through an API, use the API, and keep RPA for the stretches that have none — maintenance stays far lower.
- How hard is it to move from Zapier to Make or n8n?
- There's typically no official converter between these tools, so workflows have to be rebuilt. The logic carries over, though: if you have a workflow inventory with each step's inputs and outputs, a simple flow usually moves in a few hours. Keeping that documentation from day one is the most practical way to keep switching costs down.
- Which tool works best for adding AI like ChatGPT?
- All five options can call LLMs from OpenAI, Anthropic, and others. The difference comes after the call. One-shot tasks like summarizing a document are fine in Zapier or Make; agent-style flows that reason across several systems are easier to handle with n8n's AI nodes or custom code. Either way, keep a human review step on the output.
- What's the most common reason automation projects fail?
- An ownership gap, more than the tool itself. When the person who built a workflow leaves or changes teams, nobody knows why it was built that way, and error alerts sent to a personal inbox can sit unread for weeks. Assigning an owner and an error-alert channel to every workflow prevents much of this.
Sources
- Zapier Plans & Pricing — Zapier, 2026
- n8n Plans and Pricing — n8n, 2026
- n8n Community license — n8n Docs
- UiPath Pricing — UiPath, 2026
EnterNext's automation practice doesn't start by picking a tool. We map your repetitive work, run volumes, and data constraints together, then get one real workflow running in Make, n8n, or code — whichever fits. If you're still deciding which tool is right, bring the work as it is today — we'll show you a demo first.
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