n8n vs Zapier vs Make: which automation tool to choose

Where n8n, Zapier and Make are alike

All three are workflow automation tools built on the same idea: when an event happens (a trigger), the tool automatically runs one or more follow-up steps (actions), without anyone doing it by hand.

For a small business in Vietnam, all three handle the same everyday jobs equally well: a customer fills out a form and it's logged to Google Sheets while sales gets a Zalo alert, an order comes in and a confirmation message goes out automatically, a fixed time each week triggers a report pulled together from several sources.

The real difference isn't what each tool can do, but how it charges, where your data passes through, how steep the learning curve is, and how far you can push custom logic once a workflow gets complex. Those four points decide which tool actually fits your business.

The biggest difference: pricing models

Each platform bills by a different unit, and understanding the unit matters more than comparing any specific number — all three vendors' price lists change over time.

Zapier bills per task: every time a single action step finishes running, it counts as one task, so the more steps a workflow has and the more often it runs, the more tasks it burns each month.

Make bills per operation, now called a credit: every time a module processes one piece of data it uses one credit, and looping over a list of records multiplies the credit count by the number of records.

n8n Cloud bills per full workflow run, called an execution, regardless of how many steps that workflow has — a 10-step workflow that runs 1,000 times counts as 1,000 executions, unlike Zapier's per-step counting.

Self-hosted n8n carries no licence fee for internal use, under its fair-code Sustainable Use License: you only pay for the virtual server (VPS) that runs it, and running it more often in a month adds no extra software cost. That licence does not allow embedding n8n into a product you resell or hosting it for other paying customers — for most businesses using it purely for internal work, that restriction doesn't apply.

Exact figures — how much a plan costs, how many tasks/credits/executions it includes — change often, so check each vendor's current pricing page before deciding (verified as of 09/2026).

• Zapier: pay per task, per month
• Make: pay per operation/credit, per month
• n8n Cloud: pay per workflow execution, per month
• Self-hosted n8n: no licence fee for internal use, only server costs

A quick comparison table: n8n, Zapier, Make

The table below summarises the criteria worth weighing before you choose. Integration counts are given only as a rough order of magnitude, since the exact numbers keep changing at all three vendors.

Learning curve and time to get comfortable

Zapier is the easiest to start with: drag-and-drop interface, pick an app, pick a trigger, pick an action, and a simple workflow is running within minutes, no technical background needed.

Make takes a bit longer to learn because it lays workflows out as branching diagrams, adding concepts like routers (branching) and iterators (looping through a list) — more powerful than Zapier for workflows with real conditional logic, but it takes longer to get comfortable with.

n8n is the hardest to start with because self-hosting means installing it on a server yourself and configuring a domain and security certificate before you can use it at all — that's genuine technical work, not just signing up and going. Once it's installed, building workflows in n8n's interface is no harder than in Make.

Because n8n's initial setup requires technical skill, many small businesses hire someone to handle that part once, then run day-to-day workflows themselves after handover.

Custom code and complex automation logic

n8n has the clearest edge here because it's open source: its Code node lets you write JavaScript or Python directly inside a workflow, and because it runs on your own server, you have full control to go deeper when the drag-and-drop interface can't express logic specific to your business.

Zapier has a Code step, but it's usually restricted to higher paid plans, and Zapier's whole philosophy leans toward keeping everything interface-driven and minimising the need to write code.

Make sits in the middle: advanced blocks like routers, iterators and aggregators handle branching and data-combining logic without writing code, but once the logic gets genuinely complex it's still less flexible than writing it directly in n8n.

In short: the simpler the workflow, the less this difference matters. The more conditional steps and custom data handling a workflow needs, the more n8n's coding flexibility pays off.

AI features: AI Agent, Copilot, scenario assistants

All three platforms have added AI, each in its own direction, and features keep changing fast — check each vendor's official documentation for the latest capabilities before you decide.

n8n has an AI Agent node built on LangChain: the agent can decide on its own which connected tool to call, keep conversation memory, and query a vector database for document lookup — well suited to building an AI assistant with complex logic.

Zapier has AI Copilot, which turns a plain-language description into a draft workflow, plus AI Agents that run tasks autonomously — friendly for non-technical users but less deeply customisable than n8n.

Make has AI blocks for several model providers and a conversational assistant that speeds up building a scenario, but multi-step agent reasoning usually has to be assembled by hand with routers and iterators rather than coming built in the way it does in n8n.

Fit for Vietnamese businesses using Zalo, SePay, Casso

Zalo OA, SePay and Casso are common tools for Vietnamese businesses but aren't listed as ready-made apps in Zapier's, Make's or n8n's integration directories. All three platforms connect to them the same way: via webhook (Casso and SePay push transaction data to an address you provide) or via an HTTP Request node/module calling the Zalo OA API.

Since the connection method is the same across all three tools, the real difference is where the transaction data and customer messages pass through. With self-hosted n8n, reconciliation data or Zalo conversations flow straight through the business's own server, not through an intermediary abroad — for workflows handling financial or sensitive customer data, this is often the reason a business picks self-hosted n8n over Zapier or Make.

For simple, less sensitive workflows, such as auto-posting to social media, all three tools work equally well.

• Zalo OA: connect via its official API using an HTTP Request node/module, the same way on all three platforms
• SePay, Casso: receive transaction data via webhook, used to automate payment reconciliation
• VietQR, bank transfers: the same webhook-based connection, regardless of which platform you use

When to choose n8n, Zapier or Make

No single tool is right for every case — what matters is matching the tool to your scale, budget and how much technical setup you're ready to take on.

• Choose Zapier when: you need a few simple workflows running right away, no one on the team is technical, and your monthly run volume is still low.
• Choose Make when: a workflow has several conditional branches, you want a visual diagram that's easy to edit, and your budget is moderate.
• Choose n8n Cloud when: you want a managed platform (no server to run yourself) but still need more flexibility than Zapier or Make offer.
• Choose self-hosted n8n when: your monthly run volume is high (a fixed server cost becomes cheaper over time), you need data to stay on your own server, or a workflow needs deep custom logic.

Tips for migrating between platforms

There is no tool that migrates a workflow directly from Zapier or Make into n8n, or the other way around — each workflow has to be rebuilt by hand on the new platform, though the trigger/action logic stays the same, so it isn't a rethink from scratch.

• List every workflow currently running: for each one, note the trigger, the action steps and the data that passes through, before turning anything off.
• Rebuild each workflow on the new platform and run it in parallel with the old one for a while, rather than switching off the old workflow immediately.
• Check every webhook carefully: switching platforms changes the webhook address, which needs updating on the sending side (for example, the webhook settings in SePay, Casso or Zalo OA).
• Keep the old workflow's run history available during the transition period, to cross-check if any data looks off.
• Retrain whoever operates the workflows day to day, since the everyday interface differs quite a bit between the three platforms even though the underlying logic is the same.