Comparisons

n8n vs Zapier vs Make (2026 Comparison)

Comparison4 min readUpdated June 13, 2026

At a glance

n8n, Zapier and Make are the three automation platforms most people choose between in 2026 to connect apps and run workflows without writing glue code for every integration. They solve the same problem in different ways: Zapier is the easiest, broadest and most managed; Make is the visual, operation-priced middle ground for branching logic; and n8n is the open-source, self-hostable, developer-leaning option that gets dramatically cheaper at high volume. The catch is that each prices usage differently (Zapier per task, Make per operation, n8n per workflow execution), which makes raw price tags misleading. This page compares them honestly on pricing model, self-hosting, ease of use and AI features so you can match the platform to your real workload. It pairs with our Course 4 lesson on choosing between n8n, Zapier and Trigger.dev.

The options

n8n

Open-source, self-hostable workflow automation.

Best for: Developers and technical teams who want low cost at volume, self-hosting and full control over data and logic.

Strengths

  • Open-source and fully self-hostable, so your data can stay on your own servers.
  • Priced per workflow execution, which is dramatically cheaper than per-task tools at high volume.
  • Strong, code-friendly nodes and, since the 2.0 update, deep native AI and agent features.
  • A managed cloud option exists if you do not want to self-host.

Trade-offs

  • Steeper learning curve and more setup, especially self-hosted.
  • Smaller native app library than Zapier, though it covers most common services.

Zapier

The easiest, broadest managed automation tool.

Best for: Non-technical users and teams who want the widest app coverage and the fastest, simplest setup.

Strengths

  • The broadest app library by far (thousands of integrations) and the easiest to learn.
  • Fully managed cloud with a polished UX and an AI copilot that builds workflows from a description.
  • Best when you value time-to-automation over per-run cost.

Trade-offs

  • Priced per task, which gets expensive fast at high volume.
  • Cloud-only and no self-hosting, so data always flows through Zapier.

Make

Visual, operation-priced automation with rich logic.

Best for: Users who want a visual builder for complex, branching workflows at lower cost than Zapier.

Strengths

  • Powerful visual scenario builder with routers, iterators and aggregators for complex logic.
  • Priced per operation, typically much cheaper than Zapier at the same volume.
  • A strong middle ground between Zapier's simplicity and n8n's control.

Trade-offs

  • Per-operation counting (each module call counts) can be hard to predict on complex scenarios.
  • Cloud-only with no self-hosting, and a steeper learning curve than Zapier.

Side by side

Dimensionn8nZapierMake
HostingSelf-hosted or managed cloudCloud-only (managed)Cloud-only (managed)
LicenseOpen-source (fair-code)Closed-sourceClosed-source
Pricing unitPer workflow executionPer task (action step)Per operation (module call)
Cost at high volumeLowest (especially self-hosted)HighestLower than Zapier
App libraryLarge and code-friendlyLargest (thousands of apps)Large
Ease of useMost technicalEasiestVisual, moderate
Best forDevelopers, volume, data controlNon-technical users, breadth, speedVisual complex logic at lower cost

The verdict

Choose Zapier if you are non-technical or value the fastest setup and the widest app coverage, and your volume is modest enough that per-task pricing stays comfortable. Choose Make if you want a visual builder for complex, branching workflows at meaningfully lower cost than Zapier and are happy on a managed cloud. Choose n8n if you are technical, run high volume, or need self-hosting and data control: per-execution pricing and the self-host option make it by far the cheapest at scale, and its 2.0 AI and agent features suit agentic workflows. The honest rule of thumb: start on Zapier or Make to prove a workflow quickly, and move to self-hosted n8n once volume, cost or data-residency needs make per-task pricing hurt. Match the platform to your workload, not to a sticker price, because the three count usage in different units.

Frequently asked questions

Next step

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