n8n vs Make vs Zapier: which one we actually use (and when)
We've built production automation pipelines on all three. Here's the unfiltered breakdown - what each tool is genuinely good for, where each one breaks, and the four questions we ask before recommending anything.
We've built production automation pipelines on all three of these platforms in the last two years. Zapier for a mid-market SaaS that needed quick wins. Make for a logistics company with complex branching workflows. n8n for a fintech client where data couldn't leave their own servers. Each was the right call - for that project, at that time.
This is the breakdown we give clients when they ask us which to use.
Zapier: fast, familiar, and eventually expensive
Zapier is not overrated. It's misused.
If your team is non-technical, your tools all have native Zapier integrations, and you need something running before Friday - Zapier is the right answer. The interface is clean, the documentation is thorough, and 6,000+ integrations means whatever SaaS you're using probably has a connector.
The problem is what happens at scale. Zapier's pricing is task-based, and it adds up faster than most clients expect. We inherited a setup last year - mid-complexity workflows, running about 60 times a day - that was costing the client $580/month. We rebuilt the same logic in n8n for roughly $18/month in hosting. The workflows were identical. The saving was real.
The other ceiling is complexity. Multi-step branching, loops, iterators, transforming nested JSON - Zapier technically does some of this, but you spend more time fighting the interface than solving the actual problem. You end up stacking workarounds until the workflow looks nothing like the process it's supposed to represent.
Use Zapier when your team is non-technical, your flows are mostly linear, and you've run the numbers on task volume. If you haven't done that last part - do it now, before you're six months in.
Make: the one serious builders graduate to
Make is what you reach for when Zapier starts feeling cramped.
The visual canvas is genuinely the best in this category. Watching data flow through your automation in real time while debugging it is something you don't know you need until you have it. The pricing is operation-based rather than task-based, which for anything above a few hundred runs a day is meaningfully cheaper.
Complexity is where Make earns its reputation. Iterators, aggregators, conditional routing with multiple branches, structured error handling - all first-class features, not afterthoughts. We built a workflow for a logistics client that processed 3,000+ shipment events per day, applied custom routing rules based on product type and destination, and pushed each one to a different downstream system. Make handled it cleanly.
Two honest limitations: the learning curve is real, and non-technical users often find the interface overwhelming at first. Also, your data passes through Make's servers - for regulated industries, that's not always acceptable.
Use Make when you need visual complexity, your team can handle the learning curve, and data residency isn't a hard requirement.
n8n: where we spend most of our time
n8n is open source and self-hostable. That changes everything for a certain category of client.
For fintech, healthcare, or any business where data has to stay inside their own infrastructure, the question of which tool basically answers itself. We've deployed n8n inside client environments on AWS, GCP, and private bare-metal servers. The platform goes where the data needs to live.
Beyond compliance: the workflow logic is as powerful as writing code - because you can write code in it when you need to. JavaScript and Python execution nodes mean you're never stuck trying to express something complex through a GUI. That matters for workflows that are too intricate for a visual builder alone.
The tradeoff is integrations. n8n's library is significantly smaller than Zapier's. For niche tools without an official connector, you're building a custom HTTP node - totally doable, but it costs time. We've never hit a situation where it was impossible. We've occasionally hit situations where Zapier would have taken twenty minutes instead of two hours.
Use n8n when data must stay in your infrastructure, you want code-level control, your use case has compliance requirements, or you're building something complex enough that a SaaS platform will eventually become the ceiling.
The four questions we ask before recommending anything
When a client comes to us with an automation project, we work through these before touching a platform:
- Who maintains this after we hand it over? Non-technical team - Zapier or Make. An in-house engineer or us ongoing - n8n.
- Where does the data need to live? If it has to stay inside the client's environment, n8n. No exceptions.
- How complex is the logic? Simple, mostly-linear flows - Zapier. Multi-path, data-heavy, iterative - Make or n8n.
- What does it cost at actual volume? Run Zapier's task math at your real expected volume before committing. Not the optimistic number - the real one.
The thing all three get wrong
Error observability.
All three handle errors. None of them make it easy to understand, at a glance, what broke, at which step, and why - in a way that's immediately useful. Zapier sends an email. Make logs to a table. n8n has an execution history. None of them give you what a production system actually needs: structured logs, failure rate alerting, and a clear chain of events when something dies quietly.
On every automation project we ship, we build a monitoring layer on top of whichever platform we're using. For n8n, that means pushing execution logs to a structured sink and alerting on failure thresholds. For Make and Zapier, it means building explicit error paths into every workflow - ones that surface failures to Slack or PagerDuty rather than disappearing into a log nobody reads.
The platform alone is not enough. Build your error handling before you build your workflows. That order matters more than people realise until something breaks at 2am on a Friday.
The short version
Zapier is the fastest start. Make is the best visual builder for complexity. n8n is what we use when we're building for the long term or when the data can't leave the building.
Context matters more than the tool. Map your workflows first - what triggers them, what decisions they make, where the data goes, who maintains them. The right platform usually becomes obvious once the actual problem is clear.
