n8n vs Zapier vs Make: which automation platform should a growing business use?

An honest comparison of Zapier, Make and n8n on pricing model, power, hosting and data control, with a simple rule for which fits your business.

By OrryvelleUpdated 4 min read

The short answer

Choose Zapier if you’re non-technical and need simple app-to-app automations running today. Choose Make for more complex logic at a lower cost. Choose n8n when workflows are long, high-volume, AI-heavy or handle sensitive data: it bills per complete run rather than per step, and it can be self-hosted.

  • Zapier counts every successful action step as a task; its Professional plan starts at $19.99 a month billed annually for 750 tasks (Zapier pricing page).
  • Make counts one credit per module run by default; paid plans start at about $9 a month billed annually for 10,000 credits, as reported by Activepieces.
  • n8n counts one execution per complete workflow run, regardless of steps; cloud plans start at €20 a month billed annually for 2,500 executions, and a self-hosted version is free (n8n pricing page).
  • The cheapest platform depends on how many steps your workflows have and how often they run, so count both before you choose.

The three platforms in one table

Zapier Make n8n
Pricing unit Task (each successful action) Credit (each module run) Execution (each full workflow run)
Entry paid plan $19.99/month for 750 tasks (annual) About $9/month for 10,000 credits (annual) €20/month for 2,500 executions (annual)
Ease of use Easiest Visual, moderate learning curve Most technical
App library Largest Large Smaller, plus any API via HTTP
Self-hosting No No Yes, free self-hosted version
Best for Simple automations, non-technical teams Complex logic on a budget Long, high-volume, AI and data-sensitive workflows

Entry prices come from Zapier’s pricing page, n8n’s pricing page and, for Make, its 2026 plans as reported by Activepieces. They change often, so check each provider before you commit.

How each platform charges, and why it matters

The biggest difference between the three isn’t features, it’s what they count.

  • Zapier: according to Zapier’s help centre, a task is any successful action that runs. Filter and Paths steps don’t count, and neither do steps that error or never run.
  • Make: Make’s help centre explains that credits are its billing unit and that, by default, one operation (one module run) uses one credit; some built-in AI features use more. Credits replaced "operations" in 2025, converting existing balances one to one.
  • n8n: n8n’s pricing page states that pricing is based on monthly workflow executions "regardless of complexity": one run of a whole workflow is one execution, however many steps it has.

Take a workflow with one trigger and nine actions that runs 1,000 times a month:

Platform What gets counted Monthly usage
Zapier 9 actions × 1,000 runs 9,000 tasks
Make 10 modules × 1,000 runs 10,000 credits
n8n 1 execution × 1,000 runs 1,000 executions

For short, simple automations the difference is small. For long workflows that run often, such as lead processing, booking follow-ups or AI agents with many steps, per-step pricing grows quickly, and that is where n8n’s model pulls ahead.

Ease of use

Zapier is the easiest to start with: pick a trigger, pick an action, and it runs. Make shows workflows as a visual map, which makes branching logic and data transformation easier to follow, with a little more to learn. n8n is the most powerful and the most technical. It rewards someone comfortable with data structures, APIs and error handling, and it can frustrate teams without that skill. Digidop’s comparison reaches the same ranking.

Integrations

Zapier has the largest library of ready-made app connections, with thousands of apps. Make’s library is also large. n8n has fewer built-in nodes, but its HTTP request node can talk to almost any service with an API, so the practical gap is smaller than the numbers suggest, as long as someone can set those connections up.

Data control and hosting

Zapier and Make run only in their own clouds. n8n can also be self-hosted: its pricing page notes that a standard self-hosted version is available on GitHub. Self-hosting means:

  • customer data stays in infrastructure you control, which helps with GDPR and data-residency requirements
  • there is no per-execution charge, only the cost of the server
  • you are responsible for keeping it updated, backed up and secure

n8n also offers a managed cloud if you’d rather not run a server.

AI agents and complex logic

All three now offer AI features. For multi-step AI agents, such as a voice receptionist that checks a calendar, books, confirms and logs the call, n8n is the most common choice: complex branching, custom code and many steps per run cost no more than a simple workflow.

When custom code beats all three

Platforms are the right tool for most business automation. Custom code makes sense when the logic is core to your product, when an integration is unusual, or when volume is so high that even per-run pricing becomes a constraint. Many teams start on a platform and move one or two critical workflows into code later.

Which should you choose?

  • Zapier if your team is non-technical, your automations are short, and you value speed of setup over cost.
  • Make if your logic is moderately complex, you transform a lot of data and you want to keep costs down.
  • n8n if your workflows are long or frequent, include AI agents, or handle data you want under your own control, and you have someone (in-house or a partner) to build and maintain them.

Before choosing, list your main workflows, count their steps and estimate how often each runs per month. Then price that volume on each platform’s current pricing page. The answer is usually obvious once you do.

Why we build on n8n

At Orryvelle we build almost all automation on n8n, by hand, node by node. It handles the long, AI-heavy workflows our clients need, such as the confirmation, no-show and reactivation sequences in our Sales Pipeline System, without per-step costs, and it lets clients choose between running it themselves or having us manage it. Read more about our enterprise solutions.

Sources

  1. Zapier: Pricing
  2. Zapier Help Center: Tasks in Zapier
  3. Make Help Center: Credits
  4. Make Help Center: Introducing credits, the new billing unit
  5. Activepieces: Make.com pricing 2026, plans, credits and real costs
  6. n8n: Pricing
  7. Digidop: n8n vs Make vs Zapier, complete comparison for 2026

Figures were checked against these sources when the guide was last updated. Prices change often, so confirm current rates with each provider.

FAQs

Questions people also ask

Is n8n free?

n8n publishes a free, self-hosted version on GitHub, so you only pay for the server and for someone to maintain it. According to n8n’s pricing page, its managed cloud plans start at €20 a month billed annually for 2,500 workflow executions.

Is Make cheaper than Zapier?

Usually, yes. Make’s paid plans start at about $9 a month for 10,000 credits, as reported by Activepieces, while Zapier’s pricing page lists its Professional plan from $19.99 a month for 750 tasks, both billed annually. The real cost depends on how many steps your workflows have and how often they run.

Which automation platform is best for AI agents?

n8n is the most common choice for multi-step AI agents because it bills per workflow run rather than per step, supports complex branching and custom code, and can be self-hosted for data control. Zapier and Make also offer AI features for simpler use cases.

Can I switch automation platforms later?

Yes, but workflows don’t transfer directly between Zapier, Make and n8n; they need to be rebuilt. Documenting what each workflow does makes a later move much easier.

Do I need a developer to use n8n?

For simple workflows, no. For long, AI-driven or business-critical automations, it helps to have someone comfortable with APIs, data structures and error handling, either on your team or as a partner who builds and maintains them.

Still have a question? Ask us directly. We’re happy to talk it through.