Zapier vs Make vs custom code: an honest comparison
Every growing business hits the same question somewhere around their second or third automation: should we use a no-code tool, a low-code platform, or just get a developer to write it properly? There's no single right answer — but there is a right answer for your situation. Here's the honest breakdown.
The three options, briefly
Before the detail, a quick character sketch of each:
- Zapier — the most popular no-code automation tool. Simple, reliable, huge library of app connectors (7,000+). Best for straightforward "when X happens, do Y" workflows.
- Make (formerly Integromat) — visual, low-code automation platform. More flexible than Zapier, better for complex logic, data transformation, and multi-branch workflows. Steeper learning curve.
- Custom code — anything written by a developer in Python, Node.js, or a similar language, usually deployed on a cloud service. Maximum flexibility, maximum control, but you need someone to build and maintain it.
Where Zapier wins
Zapier's biggest strength is its ecosystem. If both the tool you're coming from and the tool you're going to are in their library, you're looking at maybe 20 minutes of configuration for a working automation. That's genuinely hard to beat.
It's also the easiest tool for non-technical staff to own. A marketing manager can build a Zapier workflow to sync leads from a form into HubSpot without needing a developer. That's a huge organisational advantage — it decentralises automation and lets the people closest to the work fix their own problems.
Best for
Simple two-to-four-step workflows, non-technical owners, teams that want to iterate quickly, and situations where all the tools involved are popular SaaS products.
Where Make wins
Make is what you reach for when Zapier starts to feel cramped. It offers proper visual branching (if/else logic), built-in loops and iterators, more sophisticated data transformation, and better handling of complex payloads. It's also noticeably cheaper per operation than Zapier at scale.
The trade-off is complexity. Make's interface is powerful but unforgiving, and mistakes are easy to make. We usually recommend it for operations teams that have someone slightly technical on staff, or for agencies building automations on behalf of clients.
Best for
Multi-branch workflows, data transformations, scenarios where cost per operation matters, teams with some technical capability, and automations that would need 20+ steps in Zapier.
Where custom code wins
Custom code wins whenever an off-the-shelf platform can't quite do what you need. Some common patterns we've seen:
- The tool you need doesn't have a connector, and its API is non-standard.
- The workflow involves complex business logic that would take 50 steps in Make and be a nightmare to maintain.
- You need to process large volumes of data quickly and reliably.
- The workflow needs to run in your own infrastructure for security or compliance reasons.
- You want to build an internal tool or a small app that users interact with directly.
Custom code is also the only option that gives you proper testing, version control, and a real development workflow. For anything mission-critical, that matters.
Best for
Complex or business-critical workflows, scenarios with unusual integrations, high-volume processing, security-sensitive environments, and internal tools that need a proper user interface.
Quick comparison
| Factor | Zapier | Make | Custom code |
|---|---|---|---|
| Setup speed | Very fast | Fast | Slow |
| Flexibility | Limited | High | Unlimited |
| Cost at low volume | Low | Low | High |
| Cost at high volume | High | Moderate | Low |
| Needs a developer? | No | Sometimes | Yes |
| Ownership | Platform | Platform | Yours |
| Lock-in risk | High | High | None |
| Maintenance burden | Low | Moderate | Higher |
The answer that actually works
The most effective setups we build don't pick one. They layer all three:
- Start with Zapier or Make to prove the automation is valuable. If it works and the team uses it, great — you've solved a problem in a week.
- Move to Make as the logic gets more complex. Same general approach, more powerful tool, only slightly more technical.
- Rebuild in custom code when the workflow becomes mission-critical, volume becomes high, or costs spiral. Keep it simple, well-documented, and deployed on infrastructure you control.
No-code is a fantastic first step and a terrible last step. The goal should always be: prove the value cheaply, then invest properly once it's clearly worth it.
What about n8n and others?
n8n deserves a mention. It's an open-source automation platform that sits between Make and custom code in flexibility, and — crucially — you can self-host it. For businesses that want the ease of no-code with the ownership of custom code, it's an increasingly popular choice. We use it on several client projects.
Other tools worth knowing about, depending on your use case:
- Power Automate — best if you're already deep in the Microsoft ecosystem.
- Workato — enterprise-grade, expensive, but very capable for large organisations.
- Airtable Automations — great if Airtable is already your source of truth.
- Retool — for building internal tools and admin panels quickly.
How to decide
Ask yourself three questions:
- How complex is the workflow? Two or three steps and simple logic — Zapier. Branches, loops, transformations — Make. Anything beyond that — custom.
- Who will maintain it? If it's a non-technical team, pick the simplest option. If you have technical capability in-house, you can be more ambitious.
- How important is it? If the business stops when the automation breaks, invest in proper code, testing, and documentation. If it's a convenience, a no-code tool is fine.
If you're still not sure, that's usually a sign you should talk it through with someone. A short conversation almost always saves weeks of building the wrong thing.