Short answer: choose Make if you want the fastest route to a working automation and your workflows are mostly connecting popular apps. Choose n8n if you need to self-host, want to write code inside a workflow, run long or complex flows, or expect your usage to grow, because n8n's pricing model rewards heavy workflows while Make's charges for every step. Below is a direct comparison on the things that actually decide it, and a simple way to pick.
Both tools do the same core job: when something happens in one app, do a chain of things in others. Both use a visual canvas. Both are a step up from Zapier for anything with branching logic. The difference is in who they are built for, how they charge, and how much control they hand you.
One disclosure before we start: our own automation builds for service businesses lean on n8n and GoHighLevel, so we have a view. We will say where Make is the better call, because for some teams it plainly is.
n8n vs Make at a glance
| n8n | Make | |
|---|---|---|
| Best for | Technical teams, complex or high-volume workflows, self-hosting | Non-technical builders, quick app-to-app automations |
| Hosting | Cloud or self-hosted | Cloud only |
| Pricing basis | Per workflow execution (a whole run counts once) | Per operation or credit (each step counts) |
| Custom code | JavaScript and Python inside a Code node | Limited, mostly through formulas and custom apps |
| Native integrations | Fewer, plus a flexible HTTP Request node for anything with an API | More pre-built app modules |
| Learning curve | Steeper, comfortable with JSON helps | Gentler, very approachable visual builder |
| Data control | Full control if self-hosted | Data processed on Make's cloud |
Prices and plan limits on both platforms change often, so check each vendor's pricing page before you commit. What stays stable is the pricing model, and that is the part worth understanding.
The pricing model matters more than the price
This is the single most important difference, and it is easy to miss when you are comparing plan tiers.
n8n counts one execution each time a workflow runs, no matter how many steps are inside it. A workflow with three steps and a workflow with thirty steps cost the same.
Make counts usage per step. Every module that runs inside a scenario consumes operations, so a longer scenario costs more every time it fires.
For a simple automation that runs a few times a day, the difference is small and Make is fine. For anything that loops over lists, processes hundreds of records, or runs many times an hour, the step-based model compounds quickly. A workflow that handles a batch of 200 leads and touches ten steps per lead is 2,000 operations on Make and one execution on n8n.
The practical rule: the more complex and higher-volume your workflows get, the more n8n's model works in your favor. The simpler and lower-volume they are, the less it matters.
Ease of use: Make wins the first hour
Make has one of the friendliest visual builders in automation. You can be running a useful scenario within an hour with no technical background, and the interface makes data flowing between steps easy to see.
n8n is not hard, but it assumes a little more. You will meet JSON early, and getting the best from it means being comfortable with expressions and data structures. If nobody on your team enjoys that, the learning curve is a real cost.
If the person building your automations is a business owner or an operations manager rather than a developer, that alone can decide it in Make's favor.
Control and flexibility: n8n wins the tenth workflow
The tradeoff flips once your automations get serious.
n8n lets you drop a Code node into any workflow and write JavaScript or Python for the awkward parts: reshaping data, custom calculations, anything the pre-built nodes do not cover. When a workflow needs logic that does not fit a neat module, that escape hatch saves you.
Make handles a lot with its built-in functions, but when you hit a wall there is less room to move.
Integrations work the same way. Make ships more pre-built app modules, which means less setup for popular tools. n8n has fewer native nodes, but its HTTP Request node connects to anything with an API, so a missing integration is a slower job rather than a blocked one.
Self-hosting and data control
n8n can run on your own server. Make cannot.
That matters in two situations. First, if you handle sensitive customer or client data and want it to stay on infrastructure you control, self-hosting gives you that option. Second, if you run high volumes, self-hosting can change the cost picture, since you pay for the server rather than per execution.
Two cautions. Self-hosting is not free: you take on setup, updates, backups and uptime, and someone has to own that. And running on your own server does not by itself make you compliant with anything. If you work under rules like HIPAA, treat the platform choice as one input and get compliance advice for the rest.
If you do not have a strong reason to self-host, n8n's cloud plans remove that burden and you still keep the execution-based pricing.
AI features
Both platforms now include AI capabilities: calling language models, building simple agents, and wiring AI into a workflow. This is moving fast on both sides, so verify the current feature set rather than trusting a comparison table, including this one.
The difference in approach is the same as everywhere else. n8n gives you more control and more places to write your own logic around the AI step. Make gives you a quicker path to a basic AI-assisted scenario.
Which should you choose?
Answer these four questions.
Who will build and maintain the workflows? A non-technical owner or operator points to Make. A developer or technical operations person points to n8n.
How complex will they get? Linear app-to-app automations suit Make. Branching logic, loops, custom code and long multi-step flows suit n8n.
How much volume do you expect? Low volume, either tool. High or growing volume, n8n's execution-based pricing gets more attractive as you scale.
Do you need control of where data lives? If yes, n8n is the only one of the two that can be self-hosted.
A reasonable default: start on Make if you are a small team automating a handful of simple tasks and want results this week. Move to, or start on, n8n if you can already see complex workflows, real volume, or data-control requirements in your future. Migrating later is possible, but workflows do not transfer automatically, so it is cheaper to pick the right tool early for anything you know will grow.
Where GoHighLevel fits
Neither tool replaces your CRM. For most service businesses, the right structure is a CRM with built-in automation for the everyday work, such as follow-up sequences, appointment reminders and missed-call text-back, plus one workflow tool to connect everything the CRM does not reach. If you run on GoHighLevel, its built-in workflows cover a lot before you need n8n or Make at all. That is worth knowing before you pay for a second tool.
The bottom line
Make is the quicker way to start. n8n is the better tool to grow into. If your automations are simple and you want them live this week, Make is a sound choice. If they are complex, high volume, or need to run on your own infrastructure, n8n will cost you less and limit you less over time.
If you would rather not build and maintain this yourself, that is what we do for service businesses. We map the workflows worth automating, build them on the right tool, and keep them running.