Zapier vs Make vs n8n for growing companies

Pick Zapier when non-technical teams need simple automations fast and the app you need is almost certainly supported. Pick Make when workflows have branching logic, loops and data transformation. Pick n8n when you want self-hosting, code steps, or control over where data lives. Many growing companies end up running two of them.

What the three tools have in common

All three connect apps through triggers and actions. Something happens in one tool, such as a new form submission, and the platform runs a series of steps in other tools, such as creating a CRM contact and posting to Slack. All three have visual builders, large libraries of app connectors, webhooks for anything without a connector, and AI steps that call language models.

The differences show up in how they handle complexity, how they charge, where they run, and who on your team can maintain them. Those differences matter more as your company grows past a handful of automations.

The short comparison

Pricing changes often, so check each vendor's current pricing page before deciding. The underlying model matters more than today's plan price. Zapier counts each successful action step as a task. Make counts each module run as an operation, so a loop over 100 rows can use many operations. n8n cloud counts whole workflow executions, and the self-hosted version is licensed under its own fair-code license rather than a standard open-source license, so read the terms if you plan to embed it in a product.

Zapier, in more detail

Zapier is the easiest place to start. A marketing coordinator can connect a form to a CRM and a spreadsheet in an afternoon without help. The app directory is the deepest, which matters when you rely on niche industry software.

Where it shines:

• Quick wins built by the people who own the process.
• Long-tail apps that other platforms do not support yet.
• Teams that want a polished interface and minimal setup.

Where it strains:

• Workflows with many branches, loops over lists, or heavy data reshaping become hard to read.
• High-volume flows can get expensive because every action step counts.
• Debugging long Zaps across many steps takes patience.

Make, in more detail

Make, formerly Integromat, shows the whole workflow as a visual map. You can see where data splits, loops and merges. That makes it a good fit for operations teams who think in flowcharts.

Where it shines:

• Multi-branch logic, such as routing an order differently by region, product and value.
• Iterating over arrays, like processing every line item on an invoice.
• Data transformation with built-in functions for text, dates and math.

Where it strains:

• The canvas can become crowded on very large scenarios.
• Operation counts add up quickly on loops, so model your volume before committing.
• Non-technical users need some training to read and edit scenarios safely.

n8n, in more detail

n8n is the choice for teams that want ownership. You can run it on your own servers, which keeps data inside your environment, and you can drop into JavaScript or Python whenever the visual nodes are not enough. It has strong support for building AI agent workflows that call models, tools and memory.

Where it shines:

• Data residency or security requirements that rule out a third-party cloud.
• Complex logic where a few lines of code beat twenty visual steps.
• High-volume workflows where self-hosting changes the cost picture.
• AI workflows that need custom tool calls.

Where it strains:

• Self-hosting means someone owns uptime, upgrades, backups and security patches.
• Fewer prebuilt connectors, so you rely more on HTTP requests to APIs.
• Business users may find it harder to maintain without technical support.

How to choose, by situation

You have no automation yet and no technical staff

Start with Zapier. Build three to five workflows that save obvious time. You will learn what your processes really look like, which informs every later decision.

Your operations team builds complex flows

Make is often the better fit. The visual canvas helps ops people reason about branching, and the cost model can work well if you design scenarios efficiently.

You have an engineer or technical ops lead

n8n gives you the most control. Self-host it if data sensitivity or volume justify the upkeep, or use n8n cloud to avoid managing servers.

You handle regulated or sensitive data

Check each vendor's security documentation, compliance reports and data processing terms. Self-hosted n8n keeps data on your infrastructure, but that also makes your team responsible for securing it.

Governance matters more than the tool

The biggest risk with any of these platforms is sprawl. Ten people build forty automations, nobody documents them, and one day an expired login silently stops lead routing. Put these rules in place early, whatever tool you choose.

1. Use shared service accounts for connections, never a personal login that leaves with an employee.
2. Name every workflow with its owner and purpose.
3. Turn on error notifications and send them to a channel someone watches.
4. Keep a simple register of all live automations: what it does, what it touches, who owns it.
5. Review the register every quarter and switch off anything unused.

When to use more than one

Running two platforms is common and reasonable. A typical split is Zapier for quick team-built automations and n8n or Make for core business processes owned by operations. The key is to decide which category each workflow belongs in, so critical processes do not end up in an unmonitored corner.

When a platform is the wrong answer

Sometimes the right move is a direct integration that your CRM or accounting tool already offers, or a small piece of custom code. If a workflow runs thousands of times a day, involves complex error recovery, or sits at the heart of your product, a purpose-built service may be cheaper and more reliable over time. For a broader view of where automation fits first, see what to automate first, and for the newer agent-style tools, read what AI agents can actually do.

Getting the choice right

The tool decision is easier once you know which workflows you want to automate and how much volume they carry. If you want a second opinion based on your actual stack, book a business audit and we will recommend a platform for your first workflows with the reasoning written out.