Zapier, Make and n8n are the three names that come up most when a business wants its apps to talk to each other. All three are good tools, and all three can run serious business processes, but they are built around different ideas about pricing, control and complexity. This n8n vs Zapier vs Make comparison is meant to help you choose based on your team and workflows, not on hype.
n8n vs Zapier vs Make: the short version
- Zapier is the easiest to start with and has the largest library of ready-made app connections. It suits teams that want simple, reliable automations without technical help.
- Make offers a visual canvas with more control over branching, looping and data handling, usually at a lower cost per step than Zapier. It suits teams comfortable with a bit more complexity.
- n8n is the most flexible and can be self-hosted. It suits teams that want ownership, custom code, heavy volume or advanced AI workflows, and that have someone technical to look after it.
Now the details.
Pricing models compared
The biggest practical difference between these tools is how they count usage. That decides what your bill looks like as you grow.
Zapier: tasks
Zapier generally bills by tasks. A task is usually counted each time an action step in a Zap runs successfully. A five-step Zap that runs 1,000 times can use thousands of tasks. Plans come in tiers with a monthly task allowance, and some features such as multi-step Zaps, paths and premium apps sit on higher tiers. Zapier is predictable for low-volume workflows but can get expensive for high-volume or many-step processes.
Make: operations or credits
Make generally bills by operations, now often expressed as credits. Each module that runs in a scenario consumes usage, including steps that just filter or transform data. Per-step pricing is typically lower than Zapier's, which is why many teams move to Make once their volume grows. Scenarios that loop through large lists can consume usage quickly, so design matters.
n8n: executions or self-hosted
n8n's cloud plans generally bill by workflow executions. One run of a workflow counts as one execution whether it has three steps or thirty. That model rewards complex workflows. n8n can also be self-hosted using its community edition, in which case you pay for your own server rather than per-run fees. Note that n8n uses a fair-code license rather than a traditional open-source license, so check the terms if you plan to resell or embed it.
Pricing pages change often, so always confirm current plans before you commit.
Self-hosting and data control
This is where n8n stands apart.
- Zapier and Make are cloud-only. Your data passes through their infrastructure, and your workflows live in their accounts.
- n8n can run in its cloud or on your own server, in your own cloud account, or behind your firewall.
Self-hosting matters if you handle sensitive customer data, have strict security reviews, need workflows to reach internal systems that are not on the public internet, or simply want to avoid per-run fees at scale. The tradeoff is that someone has to handle updates, backups, monitoring and uptime. Self-hosting is not free; it moves the cost from a subscription to maintenance.
Ease of use and complexity
Zapier
Zapier has the gentlest learning curve. You pick a trigger, add actions, map fields, and turn it on. For "when a form is submitted, add a row to a sheet and send a Slack message," it is hard to beat. More complex logic is possible with paths, filters and formatter steps, but large, branching workflows can become harder to manage.
Make
Make shows your scenario as a visual flow of connected modules. Routers, iterators, aggregators and error handlers give you fine control over how data moves. Non-technical users can learn it, but it rewards people who think in terms of data structures. Once learned, it handles complex multi-branch processes well.
n8n
n8n also uses a node-based canvas but leans more technical. You can drop in JavaScript or Python code nodes, call any HTTP API directly, work with raw JSON, and build sub-workflows. That power is a big advantage for developers and a learning curve for everyone else.
Integrations
- Zapier has the broadest catalog, with thousands of apps, and many SaaS vendors build their Zapier integration first.
- Make has a large catalog as well, and its app modules often expose more of each app's API.
- n8n has a smaller catalog of native nodes, but its HTTP request node and code nodes mean you can connect to almost any system with a documented API.
If your stack includes niche industry software, check whether a native connector exists on each platform. If not, you will be working with webhooks and API integrations regardless of which tool you choose.
AI and agent workflows
All three now offer AI steps for tasks like summarizing text, classifying messages or drafting replies. The differences show up with more advanced use:
- Zapier offers AI actions and agent-style features that are easy to set up within its ecosystem.
- Make lets you call AI models as modules inside larger scenarios with detailed data handling.
- n8n includes dedicated AI agent nodes with tools, memory and retrieval, and pairs well with self-hosted or custom model setups.
For a custom AI agent that needs to reason, call several tools and keep context, n8n or custom code tends to give you more room. For adding an AI step to an existing workflow, any of the three will do.
When to choose each
Choose Zapier if
- Your team is non-technical and wants to own its automations
- Your workflows are short and volume is modest
- You need a connector for a less common SaaS app quickly
Choose Make if
- You need branching, looping and data transformation at a reasonable cost
- Volume is growing and per-task pricing is starting to hurt
- Someone on your team is comfortable with a visual but detailed builder
Choose n8n if
- You want to self-host for data control or cost at scale
- Your workflows are long, complex or need custom code
- You are building AI agents or internal tools that touch private systems
- You have a developer or partner who can maintain it
A practical way to decide
- List your top five workflows and estimate monthly runs and steps for each.
- Price each one under all three billing models.
- Note any connector that only one platform has.
- Decide honestly who will maintain the workflows a year from now.
Many businesses end up mixing tools, such as Zapier for quick team automations and n8n for the heavy, data-sensitive processes. That is fine as long as someone documents what runs where.
How Fast Automations can help
We build workflow automation on whichever platform fits your business, including Zapier, Make, n8n or custom code, inside your own accounts so you own every workflow. If you are not sure which way to go, our AI workflow consulting starts by mapping your processes and pricing them out. Builds are fixed-price and usually reach a staging version within 48 hours. Get in touch to talk through your workflows.
FAQ
Is n8n cheaper than Zapier?
For complex or high-volume workflows it often is, because n8n counts whole workflow executions rather than individual steps, and self-hosting removes per-run fees. For a handful of simple automations, the difference may not justify the extra setup.
Is Make easier than n8n?
For most non-technical users, yes. Make is visual and approachable, while n8n assumes more comfort with JSON, APIs and occasional code.
Can I migrate from Zapier to Make or n8n?
Yes, but there is no one-click import. Workflows are rebuilt on the new platform, which is a good chance to clean up logic and remove steps you no longer need.
Which tool is best for AI automation?
All three can add AI steps to a workflow. For multi-step AI agents with tools, memory and private data, n8n or a custom build usually offers the most control.