Zapier vs Make vs n8n: which is best for a small business?
Short answer
Zapier is the easiest to start with and has the most prebuilt connections. Make handles more complex, multi-step workflows at a lower price. n8n is open-source and has no per-task fees, but requires more technical setup. Pick the one that matches your technical comfort level and the complexity of what you need to automate today.
Updated August 3, 2026
Zapier, Make, and n8n are all tools that connect apps and automate tasks that would otherwise require someone to do them manually. They handle the same core job: when something happens in one app, trigger an action in another. The differences are in how complex a workflow each handles well, how much they cost at scale, and how much technical knowledge is required to use them.
For most small businesses, the right choice comes down to two questions: how complex is the automation you need to build, and how much technical confidence does your team have? A simple two-step connection linking a form submission to a CRM entry is Zapier's strength. A multi-branch workflow that processes data differently based on conditions is more naturally built in Make. An automation that needs to run on your own infrastructure with no recurring usage fees is the case for n8n.
Zapier
Zapier is the most widely recognized automation tool in this category and the easiest to get started with. It has a large library of prebuilt integrations and a simple two-step trigger-action interface that most non-technical users can navigate without a tutorial. For straightforward automations, Zapier often lets you go from idea to working automation in under thirty minutes.
The cost structure is based on tasks, which are individual steps in an automation. Simple automations use one or two tasks per run. More complex ones use more. At low volume, the free plan is sufficient. At higher volume, the cost per task adds up, and Zapier becomes one of the more expensive options in the category.
- Strengths: large app library, easiest to start, well-documented, widely supported.
- Weaknesses: higher cost at volume, limited logic and branching on simpler plans, less flexibility for complex workflows.
- Best for: businesses new to automation, simple trigger-action tasks, teams without technical staff.
Make
Make uses a visual scenario builder where you can see the entire workflow as a diagram and add branches, filters, and multiple steps in a way that Zapier's simpler interface does not support as cleanly. It is better suited for workflows that need to handle conditional logic, process data before passing it to the next step, or pull from multiple sources in a single run.
The pricing is based on operations, similar to Zapier's tasks, but Make is generally less expensive per operation at the same volume. The trade-off is a steeper initial learning curve. The visual builder is powerful but takes longer to understand than a step-by-step interface.
- Strengths: more powerful scenario builder, better for complex logic, lower cost at volume than Zapier.
- Weaknesses: steeper learning curve, interface can feel complex for simple tasks, smaller app library than Zapier.
- Best for: businesses with complex workflows, moderate technical confidence, higher automation volume.
n8n
n8n is open-source, which means the software itself is free to use. You can self-host it on your own server or use n8n's cloud offering. The self-hosted version has no per-task fees: you run as many automations as you like without paying per run. That makes it the lowest ongoing cost option for high-volume automation once the setup is complete.
The setup requires more technical knowledge than Zapier or Make. You need to install and maintain the software, manage your server, and handle updates. For a business with someone technically capable, this is manageable. For a business without any technical staff, the cloud version of n8n is easier but loses the main cost advantage.
- Strengths: open-source with no per-task fees, full control, highly customizable, large node library.
- Weaknesses: requires technical setup for self-hosting, steeper learning curve, smaller prebuilt integration library.
- Best for: technically capable businesses or those with a developer, high-volume automations, businesses that want full data control.
How to decide which one to use
Start with your current situation. If you have never built an automation before and need something simple working quickly, start with Zapier's free plan. If you have some experience and need conditional logic or more complex workflows, try Make's free tier. If you have technical capacity and want to avoid per-task fees at scale, evaluate n8n.
The right answer often changes over time. Many businesses start with Zapier, outgrow it as their automation volume increases, and move to Make or n8n later. There is no wrong starting point as long as you are not paying more than the automation is worth.
For a broader view of what is worth automating in your business, our answer on what business tasks you can automate with AI gives a practical order of priority so you focus automation effort where it pays off most.
What each tool connects to
All three tools connect to the most common small business platforms: Google Workspace, Outlook, Slack, CRM tools, e-commerce platforms, payment processors, and marketing tools. Zapier has the largest prebuilt library. Make has strong coverage of the same core apps. n8n has a growing library and lets you build custom integrations through an HTTP node if a native connection does not exist.
If you use a niche or specialized tool, check whether it has a native integration in the platform you are considering before committing. Most well-known business tools are covered by all three, but specialized vertical software may only be available on one of them.
For guidance on choosing between tools more generally, our answer on how to choose the right AI tools for your business covers the evaluation process that applies to any software decision, not just automation tools.
Mixing tools with AI
All three platforms can connect to AI APIs as part of a workflow. That means you can build automations that use AI to process or generate content mid-flow: summarizing a form submission, drafting a response, classifying an incoming message, or generating a report narrative. This is where the boundary between automation and AI agents starts to blur.
For businesses building these kinds of AI-assisted workflows, our AI automation for small business service covers how we design and build workflows that combine standard automation with AI processing steps.
Our comparison of custom AI systems vs off-the-shelf tools is also relevant here: at some point, building a custom workflow in n8n or Make is effectively building a custom system. Understanding where platform tools end and custom systems begin helps you plan the right investment.