n8n vs Zapier vs Make in 2026: Pricing, AI, Features & Which Is Best?
n8n, Zapier and Make are three of the most searched workflow automation platforms in 2026, but they optimize for different users. Zapier emphasizes app breadth and accessibility, Make emphasizes visual scenario design, and n8n emphasizes technical flexibility, executions and self-hosting.
Quick Comparison
| Factor | Zapier | n8n | Make |
|---|---|---|---|
| Entry paid pricing | Professional from $19.99/mo | Starter €20/mo annual billing | Core $12/mo at 10k credits |
| Free tier | 100 tasks/mo | Trial/community options depend on deployment | 1,000 credits/mo |
| Billing model | Tasks and usage rates | Workflow executions | Credits/module actions |
| Self-hosting | No | Yes | No |
| Best fit | Fast SaaS automation | Technical workflows | Visual orchestration |
Pricing checked against official pages on October 12, 2026: Zapier, n8n, Make.
Ease of Use
Zapier is usually the easiest starting point for non-technical business users. Make is approachable for visual thinkers, while n8n rewards technical users who are comfortable with node configuration, expressions and occasional code.
Use a representative production workflow when evaluating this factor. Include a real trigger, at least one branch, a transformation step, an external application action, and an error path. That exposes practical differences that feature tables often hide.
Integration Coverage
Zapier advertises 9,000+ app connections. Make lists 3,500+ apps. n8n combines native nodes with webhooks, HTTP requests and code, so raw connector count is less important when a team can build custom API steps.
Use a representative production workflow when evaluating this factor. Include a real trigger, at least one branch, a transformation step, an external application action, and an error path. That exposes practical differences that feature tables often hide.
AI and Agent Workflows
All three can orchestrate AI steps. Zapier integrates AI across its automation platform, n8n gives technical builders flexible AI nodes and tools, and Make keeps AI inside a visual scenario model.
Use a representative production workflow when evaluating this factor. Include a real trigger, at least one branch, a transformation step, an external application action, and an error path. That exposes practical differences that feature tables often hide.
Self-Hosting and Data Control
n8n is the clear choice of these three when self-hosting is a hard requirement. Zapier and Make are managed cloud services.
Use a representative production workflow when evaluating this factor. Include a real trigger, at least one branch, a transformation step, an external application action, and an error path. That exposes practical differences that feature tables often hide.
Cost at Scale
The pricing units differ materially. Long multi-step workflows can behave very differently under task-based, execution-based and credit-based models, so estimate cost from real transaction volume.
Use a representative production workflow when evaluating this factor. Include a real trigger, at least one branch, a transformation step, an external application action, and an error path. That exposes practical differences that feature tables often hide.
Governance and Team Operations
Compare SSO, roles, shared connections, version history, execution search, auditability and environment separation before moving production workflows.
Use a representative production workflow when evaluating this factor. Include a real trigger, at least one branch, a transformation step, an external application action, and an error path. That exposes practical differences that feature tables often hide.
Decision Checklist
- Which platform supports your five must-have applications with the fewest workarounds?
- How does the pricing model behave at your real transaction volume?
- Can the people who own the business process debug the workflow?
- Do you require self-hosting, SSO, audit logs or formal environment separation?
- How are AI outputs validated before an irreversible action?
- What happens when a connector, API or credential fails?
How AutomationToolLab Evaluates Automation Software
We compare platforms by integration coverage, workflow depth, AI capability, deployment model, governance, debugging, maintainability and total operating cost. The best product is the one that solves a real process reliably, not the one with the longest feature list.
Regional Buying Notes
This guide is written primarily for readers in the US, UK, Canada, Australia, India and Germany. Check local taxes, billing currency, privacy requirements, data-location needs and support hours before purchase. Self-hosting can matter more in technically sophisticated or regulated environments, while managed cloud tools can reduce operational overhead for smaller teams.
Related AutomationToolLab Guides
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Editorial Disclosure
AutomationToolLab is an independent educational site. Product prices, limits and features can change. Verify critical purchasing information on each vendor’s official website before committing to a plan or migrating production workflows.
Implementation Scenarios
For small businesses, agencies and technical teams, the most useful way to compare n8n, Zapier and Make is by building the same three workflows: lead intake, a multi-step approval process, and a scheduled reporting workflow. These examples expose differences in connector quality, branching, debugging and cost.
Scenario 1: Lead Intake and Routing
Capture a form submission, normalize fields, enrich the company, check routing rules, write to the CRM and notify the correct salesperson. Measure how many steps the workflow consumes, how easy duplicate handling is, and whether failures are visible to the workflow owner.
Scenario 2: Approval Workflow
Create a workflow that receives a request, validates required fields, routes it according to amount or department, waits for approval, and writes the final decision back to the source system. This shows how each platform handles state, delays, branching and human-in-the-loop steps.
Scenario 3: Daily Operations Report
Schedule a workflow to collect data from two or more systems, transform it into a consistent structure and send a summary to email or chat. Test time zones, missing data, rate limits and retry behavior.
Migration Considerations
If you already have dozens of production automations, migration cost may matter more than subscription price. Inventory every workflow, owner, credential, trigger, destination and dependency before moving. Rebuild the highest-value workflows first, run the old and new versions in parallel where possible, then retire the old flow only after outputs match.
Frequently Asked Questions
Which platform is best for a one-person business?
Choose the platform that makes your common tasks easiest to maintain. A solo business often benefits more from quick setup and predictable debugging than from enterprise governance features.
Which platform is best for agencies?
Agencies should prioritize workspace separation, credential management, reusable templates, client handoff and transparent usage. A technically strong platform may still be a poor agency fit if ownership transfer is difficult.
Should price be the deciding factor?
No. Compare total operating cost: subscription fees, AI usage, time spent debugging, implementation effort and the cost of failed workflows. Reliability and maintainability usually matter more than a small difference in monthly subscription price.
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