The question we actually get
Almost nobody comes to us with a clean list of systems and the fields that need to move between them. What we get instead is a tool name and a rough shape: "we want our GoHighLevel to notify the team when a lead comes in," or "can you build this in n8n," or "our SuiteDash needs to talk to WhatsApp." That is a reasonable place to start from, but it puts the choice of platform ahead of the thing that should decide it, which is what your systems can already do and what you need glued between them.
Below is the comparison in the order we would actually walk a client through it: what each tool is, what it costs, and where it stops being the right tool.
What each one actually is
n8n is a workflow engine you can self-host or run on their cloud, with a visual builder and, when the visual builder runs out of road, a code node that lets you write JavaScript or Python inline. That combination is the whole pitch: no-code for the parts that are genuinely simple, real code for the parts that never are.
Zapier is the oldest and the most polished of the three, with by far the largest library of pre-built app connections. It is built for connecting popular SaaS tools to each other with minimal setup, and it is priced and designed around that use case rather than around complex branching logic.
Make (formerly Integromat) sits between the two. Its visual canvas shows the full data flow rather than a linear step list, which makes it better than Zapier at genuinely branching, multi-path automations, without asking you to write code the way n8n eventually does.
| n8n | Zapier | Make | |
|---|---|---|---|
| Pricing model | Free if self-hosted; cloud plans from roughly USD 20/month | Free tier is limited; paid plans from roughly USD 20 to 30/month, priced on task volume | Free tier included; paid plans from roughly USD 9 to 16/month, priced on operations |
| Hosting | Self-hosted or their cloud, your choice | Cloud only | Cloud only |
| Where it's strongest | Complex logic, custom code, full data ownership | Breadth of pre-built app connections, fastest to a first working automation | Visual branching and multi-path workflows without writing code |
| Where it struggles | Steeper learning curve if nobody on the team is comfortable reading a workflow graph | Gets expensive and awkward fast once logic branches or volume climbs | Smaller app library than Zapier for less common tools |
What actually decides it
The tool name is the least useful thing to lead with, because none of these three is better in the abstract. Each is built for a different shape of problem, and the shape of your problem is the thing nobody has usually mapped before they call us. These are the questions that do the deciding:
- 01How many systems actually need to talk to each other, and does a pre-built connector already exist for each one?
- 02Does any step need logic more complex than "if this, then that": scoring, deduplication, conditional routing across more than two outcomes?
- 03Who on your team will own this after we hand it over, and are they comfortable reading a visual workflow, or would they need to read code?
- 04Does the data ever need to leave your infrastructure, and does that matter for how it's hosted?
- 05What does this cost at your actual monthly volume, not the volume in the demo?
A UAE SMB with three SaaS tools and one linear "new lead notifies sales" flow rarely needs n8n. A business running GoHighLevel or SuiteDash as its core system and connecting it to WhatsApp, a CRM and a finance tool with conditional routing between them usually does. The volume of tools involved matters less than how much branching sits between them.
Where these figures come from
- Public pricing pages for n8n, Zapier and Make, mid-2026.
- Hosting and licensing terms as published by each vendor at the time of writing.
- Pattern of inbound requests is our own, drawn from scoping calls, not a market survey.