The short answer on n8n vs Zapier: pick Zapier if you want the fastest setup, the largest app directory and no servers to manage. Pick n8n if you want to self host, keep data on your own infrastructure, write code inside your workflows and avoid pricing that climbs with every step. Make sits between the two, with a visual builder that handles branching logic well and a cloud only model.
We build automations for clients on all three. In our projects the right choice has rarely come down to features. It comes down to who will maintain the workflows, where the data is allowed to live, and how the bill behaves once volume grows. This guide covers each of those honestly.
What n8n, Zapier and Make actually are
All three are workflow automation tools. You connect apps, define a trigger, and the tool runs a series of steps when that trigger fires. A new form submission creates a CRM contact, sends a Slack message and adds a row to a sheet. The differences are in how they are hosted, how you build, and how you pay.
- Zapier is a cloud service. You sign up, connect accounts and build "Zaps" in a guided, step by step editor. It is known for a very large directory of ready made app integrations.
- n8n is a workflow tool with publicly available source code. You can run it on your own server or use the vendor's hosted cloud. Workflows are built on a node based canvas, and you can drop in JavaScript or Python where a ready made node is not enough.
- Make (formerly Integromat) is a cloud service with a visual scenario builder. You drag modules onto a canvas and connect them, which makes routers, filters and loops easy to see at a glance.
n8n vs Zapier vs Make at a glance
| Factor | Zapier | n8n | Make |
|---|---|---|---|
| Hosting | Cloud only | Self hosted or vendor cloud | Cloud only |
| Builder style | Linear, step by step | Node canvas | Visual scenario canvas |
| Learning curve | Lowest | Highest | Moderate |
| Custom code | Limited code steps | First class, code nodes anywhere | Limited, mostly through functions and HTTP |
| Integrations | Largest ready made directory | Smaller directory, generic HTTP node covers most APIs | Large directory |
| How usage is counted | Per task (each action that runs) | Per workflow execution on cloud, your own server cost if self hosted | Per module run inside a scenario |
| Data control | Data passes through the vendor | Full control when self hosted | Data passes through the vendor |
| Best for | Non technical teams, quick wins | Technical teams, high volume, privacy needs | Ops teams with branching logic |
Plan names, limits and prices change often on all three platforms, so check the current pricing pages before you commit. The pricing models, though, have stayed fairly consistent, and the model matters more than the sticker price.
Hosting: the difference that matters most
This is where n8n vs Zapier stops being a close call for many businesses.
Zapier and Make run on the vendor's infrastructure. That is a real benefit. There is nothing to patch, back up or monitor, and uptime is someone else's job. The trade off is that every record your workflow touches passes through a third party. For a marketing team syncing leads, that is usually fine. For a clinic, a finance team or anyone bound by strict data residency rules, it can be a blocker.
n8n can run on a server you control. We usually deploy it on a VPS with Docker, a PostgreSQL database for workflow data, a reverse proxy with HTTPS, and scheduled backups. Your customer data then stays inside your own environment. The cost is responsibility. Somebody has to update n8n, watch disk space, rotate credentials and restore from backup when something breaks. If nobody on your side can own that, use n8n's cloud version or pick a different tool.
Questions to ask before choosing a hosting model
- Does any contract, regulation or client policy restrict where customer data can be processed?
- Who will update and monitor a self hosted instance, and who covers them on leave?
- Do your workflows need to reach internal systems that are not exposed to the internet?
- Is predictable infrastructure cost more important to you than zero maintenance?
Pricing models, described plainly
We will not quote prices here because they change. What matters is the unit each tool counts, because that decides how your bill grows.
Zapier counts tasks. Broadly, each action step that runs successfully counts toward your allowance. A Zap with 5 actions that fires 1,000 times uses far more than a Zap with 1 action firing the same number of times. This is easy to understand and fine at low volume. At high volume, multi step workflows get expensive quickly.
Make counts module runs. Each module that processes data inside a scenario uses part of your allowance. It tends to be cheaper per step than Zapier for similar work, but a scenario that loops over hundreds of items still consumes a lot, because every iteration counts.
n8n cloud counts executions. On its hosted plans, one full run of a workflow counts as one execution, regardless of how many steps it has. Self hosted, you pay for your server and your time instead of per run. For workflows with many steps or large batches, this model is often the cheapest by a wide margin.
A practical way to compare: take your 3 busiest planned workflows, count their steps, estimate monthly runs, and model the bill on each platform's current pricing page. That 20 minute exercise has changed the decision for more than one client we have worked with.
Flexibility and code
Every automation eventually hits something the ready made steps cannot do. A date in an odd format, a nested JSON array, an API that paginates, a calculation that needs 12 lines of logic.
In Zapier, you have code steps and formatter utilities, which cover a lot, but complex logic can feel boxed in. Many teams end up splitting one process across several Zaps, which is harder to debug.
Make handles data mapping, iterators, aggregators and routers visually. Non developers can build surprisingly complex scenarios, and you can see the whole flow on one screen. When you need real code, options are more limited.
n8n treats code as normal. You can transform data with a code node at any point, call any API with the HTTP Request node, build sub workflows, and add error handling branches. This is why developers tend to prefer it. It is also why non technical users find it harder: the canvas assumes you understand how data items flow between nodes.
Integrations: directory size vs real coverage
Zapier's app directory is its strongest selling point. If you use niche SaaS tools, there is a good chance a Zapier integration exists and someone else has already solved authentication for you.
Make also has a large library. n8n's library of dedicated nodes is smaller, but its generic HTTP node plus credential handling means almost any service with a documented API is reachable. The honest trade off: with n8n you may spend an hour reading API docs that Zapier would have hidden from you.
Before choosing, list every app your workflows need. Check each one on each platform. Also check which triggers and actions are supported, not just whether the app appears. An app being "listed" does not mean the specific action you need exists.
Where AI fits in
All three platforms now offer ways to call AI models inside workflows, such as classifying an email, summarizing a ticket or drafting a reply. n8n has leaned into agent style workflows where a model can choose between tools. Zapier and Make both offer AI steps as well. Feature sets here change monthly, so evaluate against what you actually need to do. If your use case is AI heavy, our AI automation service covers how we design these flows with review steps and fallbacks.
Make vs Zapier: the short version
If you already ruled out self hosting, the decision is Make vs Zapier. Choose Zapier when the people building workflows are non technical, you need an obscure integration, or you want the quickest route from idea to working automation. Choose Make when your processes have branching logic, loops over lists, or many steps per run, and you want better cost efficiency at volume. Make's visual canvas also makes it easier to hand a scenario to a colleague and have them understand it.
Who each tool suits
Choose Zapier if
- Your team has no developer and needs automations running this week.
- Your workflows are short, 1 to 3 actions, and run at moderate volume.
- You depend on less common SaaS apps.
Choose Make if
- Your processes branch, filter and loop, and you want to see the logic visually.
- You run multi step workflows at a volume where per task pricing hurts.
- You are fine with cloud hosting.
Choose n8n if
- Data must stay on infrastructure you control.
- You have a developer, in house or external, who can build and maintain workflows.
- You run high volume or long workflows and want cost to stay flat as steps increase.
- You need custom logic, internal APIs or AI agent flows.
Mistakes we see when businesses pick an automation tool
- Choosing on price alone. A cheap tool nobody on your team can maintain is expensive the first time a workflow silently fails.
- Ignoring error handling. Whatever tool you use, set up alerts for failed runs. A broken lead sync can cost weeks of leads before anyone notices.
- Self hosting without backups. A self hosted n8n instance with no backup plan is one disk failure away from losing every workflow and credential.
Common questions
Is n8n really free?
n8n's source code is publicly available and you can run a self hosted instance without paying per execution, subject to its license terms, which restrict some commercial uses such as reselling it as a hosted service. You still pay for the server, backups and the time to maintain it. The vendor's cloud version is a paid subscription.
Is n8n harder to use than Zapier?
Yes, for most non technical users. Zapier guides you through each step, while n8n expects you to understand how data moves between nodes. Developers usually find n8n faster once they learn it, because they can write code instead of working around limits.
Can I move my Zaps to n8n or Make?
There is no one click migration that we would rely on. In practice you rebuild each workflow, which is a good moment to clean up logic and add error handling. Start with the highest volume workflows, because that is usually where the cost savings are.
Is Make cheaper than Zapier?
For multi step workflows it often works out cheaper, because of how usage is counted. It depends on your step count, run volume and loops, so model your real workflows against current pricing before deciding.
If you are weighing n8n vs Zapier for a real process and want a second opinion, we are happy to look at your workflows and tell you plainly which tool fits and what it will take to run. We have shipped 230+ projects over 6+ years, including self hosted n8n setups and cloud automations. Get in touch and tell us what you are trying to automate.
