ComparisonN8N & Zapier Workflows

n8n vs Zapier: choosing a platform for AI-driven automation

n8n and Zapier both connect business tools and both can put a model in the middle of a workflow, but they make different trade-offs. Zapier is a managed service with very broad connector coverage and little to operate. n8n can be self-hosted, is metered differently and gives developers more room. This comparison works through the criteria that decide the choice in practice, then sketches the same workflow on each.

Reviewed 10 October 2026 7 min read

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The short answer for busy teams
Criterion by criterion: n8n, Zapier and Make
Licensing and metering: the two differences that surprise teams later
One lead-enrichment workflow, sketched on both platforms
Decision matrix by team profile and constraint
Mistakes teams make when choosing an automation platform
Questions and answers
Sources

The short answer for busy teams

If your team has no one who wants to run servers, your workflows mostly join well-known SaaS products and your data can live in a vendor's cloud under its processing terms, Zapier is usually the faster route to something dependable. Its strength is the breadth of ready-made connectors and an editor that non-developers can use without help.

If your workflows are long, handle data you would rather keep in your own environment, need real code in places or will be maintained by engineers who expect version control, n8n tends to fit better. It can run as n8n Cloud or on your own infrastructure, and its usage model favours workflows with many steps.

Many organisations end up with both: Zapier for team-level automations close to the business, n8n for workflows that carry sensitive data or business-critical volume. That is a reasonable outcome as long as each workflow has an owner and someone keeps an inventory.

Criterion by criterion: n8n, Zapier and Make

Based on each vendor's documentation at the time of review. Features and plan boundaries change, so confirm the detail that decides your case on the vendor's current pages.

Criterion	n8n	Zapier	Make
Hosting	Managed n8n Cloud or self-hosted on your own servers, containers or Kubernetes	Managed service only; no self-hosted option	Managed service only
Licence model	Source-available under the Sustainable Use License; enterprise features under a separate licence¹	Proprietary SaaS under Zapier's terms of service	Proprietary SaaS under Make's terms
How usage is metered	n8n Cloud counts executions, where one execution is a single run of the whole workflow²	Tasks: each successful action step counts; triggers, filters and paths do not³	Its own usage unit per module run; check the current definition on Make's pricing page
AI building blocks	AI Agent node with chat model, memory, tool and output-parser sub-nodes	AI by Zapier steps, Zapier Agents and Zapier MCP for exposing actions to AI clients	AI modules and connectors to the major model providers
Code steps	Code node in JavaScript or Python, plus custom nodes	Code by Zapier in JavaScript or Python, with runtime limits	Data-mapping functions and HTTP modules; code options depend on plan
Error handling	Per-workflow error workflows started by an Error Trigger node, plus node-level retries⁴	Error handler paths, run history and replay of failed runs	Error handler routes and incomplete-execution storage
Connector coverage	Hundreds of built-in nodes plus a generic HTTP request node	The broadest catalogue of the three; many integrations are published by the app vendors themselves	A large catalogue with fine-grained modules per app
Data control	Self-hosting keeps execution data and credentials in your own environment	Data processed and logged in Zapier's cloud under its processing terms	Data processed in Make's cloud; check available hosting regions

Make is included because it often appears on the same shortlist. The rest of this page concentrates on n8n and Zapier.

Licensing and metering: the two differences that surprise teams later

n8n's code is public, but it is not open source in the OSI sense. The Sustainable Use License lets you use and modify the software for your own internal business purposes or for non-commercial and personal use, and lets you distribute it only free of charge for non-commercial purposes¹. Files marked as enterprise sit under a separate n8n Enterprise License¹. In practice, running n8n to automate your own operations is squarely within the licence. Building a product that hosts n8n for paying customers is a different question to put to n8n and to your counsel before you build.

Metering changes the economics of workflow length. On Zapier, a run that performs eight successful actions uses eight tasks, while a filter that stops a run early costs nothing³. On n8n Cloud, the same run is a single execution however many nodes it passes through². Long workflows therefore tend to favour n8n's model, and short, frequent workflows narrow the gap. Self-hosting removes per-run vendor charges but adds infrastructure and the people who look after it, which belong in any comparison of total cost.

One lead-enrichment workflow, sketched on both platforms

Hypothetical example

A hypothetical inbound lead flow

Suppose a software company wants every web-form lead enriched, scored by a model against its ideal customer profile and created in the CRM with an owner. On Zapier, the Zap triggers on the form submission, a filter drops obvious spam, a lookup step searches the CRM by email, an AI by Zapier step returns a score and a one-line rationale, a formatter step tidies fields and a final step creates or updates the record. An error handler posts failures to the sales operations channel.

On n8n, a webhook node receives the submission, an IF node filters spam, an HTTP node calls the enrichment service, an AI Agent node with a structured output parser returns the score in a fixed shape, and a CRM node upserts by email. A separate error workflow catches failures and opens a ticket. The logic is the same; what differs is who hosts it, how each run is metered and how much code the team can add when the scoring rules become more involved.

In both versions, the score is written as a field for people to use, not as an automatic routing decision, until the team has compared a few weeks of model scores with its own judgement.

Decision matrix by team profile and constraint

If
Business teams build their own automations and there is no platform engineering capacity.
Then
Start with Zapier and put shared workflows in a team account with service connections.
A managed service with a familiar editor removes the operating burden entirely.
If
Workflows carry regulated or confidential data that should not leave your environment.
Then
Use self-hosted n8n inside your own network, with any model reached through an approved endpoint.
Execution data, logs and credentials stay on infrastructure you control and can audit.
If
Workflows are long, branch heavily and run often.
Then
Model the cost on both platforms with your real step counts before committing; n8n often comes out ahead.
Per-step metering grows with workflow length, while per-run metering does not.
If
Engineers will maintain the workflows and want review, version control and tests.
Then
Prefer n8n, using its Git-based source control on a paid plan or exported workflow files in your own repository.
Changes can then go through the same review habits as the rest of your code.
If
The workflow depends on a niche SaaS product with no public API documentation.
Then
Check Zapier's catalogue first; a vendor-maintained connector may be the only practical route.
Connector breadth is the one criterion where Zapier is hard to match.

Mistakes teams make when choosing an automation platform

Choosing on the free tier

Early signalThe decision rests on a prototype that ran a handful of times on sample data.

MitigationEstimate monthly runs and steps from real volumes, and price the plan you would need in production.

Ignoring who will operate self-hosting

Early signaln8n is chosen to avoid vendor charges, but nobody is assigned to upgrades, backups or monitoring.

MitigationName the operating team first, and read the production checklist before deciding.

Letting AI connectors drive the choice

Early signalThe platform is picked for a demo of its agent feature rather than for the workflows you actually run.

MitigationBoth platforms can call any model with an HTTP API, so judge on hosting, metering and reliability first.

Questions and answers

Is it hard to migrate workflows from Zapier to n8n?

There is no automatic converter that preserves logic reliably, so plan on rebuilding. The effort is mostly in re-creating connections and testing edge cases, not in the canvas work. Migrate one workflow at a time, run old and new in parallel on the same events for a short period, compare the results and switch off the old version only when they match.

Can n8n and Zapier be used together?

Yes. A common pattern is to keep team-level automations in Zapier and run sensitive or high-volume workflows in n8n, with the two calling each other through webhooks where needed. The risk is fragmentation, so keep one inventory of workflows across both platforms, with owner, systems touched and business purpose for each.

Where does Make fit compared with n8n and Zapier?

Make is a managed visual automation platform that often sits between the two: more granular control over data mapping than Zapier's editor, without self-hosting. Its usage is metered on its own unit, so model costs with real workflows. If self-hosting or code-heavy steps matter, n8n remains the closer fit; if connector breadth matters most, Zapier usually is.

Does self-hosted n8n need a paid licence?

Not for internal use of the community edition, which the Sustainable Use License permits for your own business purposes. Some features, such as single sign-on, Git-based environments, external secret stores and log streaming, are tied to paid plans. Check n8n's current pricing page for which features need which plan, and read the licence before offering n8n to third parties.

Sources

Sustainable Use License (n8n repository licence file) — n8n · checked 10 October 2026
n8n plans and pricing: execution definition — n8n · checked 10 October 2026
Tasks in Zapier — Zapier · checked 10 October 2026
Error handling — n8n Docs · checked 10 October 2026

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