n8n vs Zapier (2026)
Side-by-side comparison of n8n vs Zapier: pricing, capabilities, integrations, deployment complexity, and ratings. Last updated August 15, 2026 by The AI Agent Index Editorial Team.
Data sourced from The AI Agent Index
n8n and Zapier are the two most compared workflow automation platforms, and the choice usually comes down to two structural questions: who runs the infrastructure, and how the meter counts. Start with the licence, because it is the fact most often got wrong. n8n is fair-code rather than OSI open source. The source is public and self-hostable, and commercial use above a threshold requires a paid enterprise licence. Zapier is closed source and makes no claim otherwise. A team adopting n8n on the assumption of an unrestricted open-source licence will find a threshold it needs to read first. The meter is the second structural difference, and no row in the table above can show it. Zapier bills per task, where each step in a Zap counts as a task. n8n counts an entire multi-step workflow as a single execution. Two automations doing identical work can therefore land in very different places on the two meters, and the gap widens with every extra step in a workflow. Model your own step counts before reading either figure against the other. The two are denominated differently, which the table also cannot show. n8n Cloud is priced in euros, from EUR 20/mo billed annually. Zapier is priced in US dollars, from $19.99/mo billed annually, and its pricing page carries a currency selector offering twenty currencies. Both run a permanently free tier rather than a time-limited trial, and both put their top tier behind a sales conversation. On security the two are closer than the badges suggest. Both publish SOC 2 Type II and GDPR. n8n adds ISO 27001 and states HIPAA support. Zapier adds CCPA, and its SOC 2 Type II and SOC 3 reports covering June 2025 to May 2026 were published in August 2026. Data handling is where they genuinely diverge, and the table flattens it into one badge each. n8n states it does not use customer data to train AI or ML models. Zapier's terms permit using Derived Data to develop its products, including through model training, with an opt-out form available to everyone and automatic opt-out only on the Company and Enterprise plans. Those are not the same commitment. Both speak MCP, and again not identically. n8n is both server and client: it exposes workflows to external AI agents through an MCP Server Trigger node, and calls out to other MCP servers from inside a workflow. Zapier publishes a server only, labeled beta on its own product page. The vendor states it is included in an existing plan and draws on the same task quota as Zaps, so AI-driven usage competes with automation runs for one allowance. On independent evidence the two corpora differ by roughly an order of magnitude in size, with Zapier holding the far larger review base and n8n the higher average score on a much smaller one. Read those two numbers in the table as answers to different questions rather than as a like-for-like comparison. n8n also carries one of the largest followings on GitHub of any tool in this category, which is a real signal about developer adoption and says nothing about fit for a non-technical team. The decision comes down to two questions. Does your team have the capacity to deploy and maintain a workflow platform, or to run it on n8n Cloud and accept a euro-denominated bill? Is data sovereignty a hard requirement? If yes to either, n8n. If no to both, Zapier. Teams looking for a middle ground on technical complexity commonly evaluate Make.com, which meters on operations rather than tasks.
n8n
by n8n GmbH
Open-source workflow automation platform with 400+ integrations, 70+ AI agent nodes, and MCP support. Visual editor plus inline code. Self-hosted free; cloud from EUR 20/mo.
Best for
Technical teams that need self-hostable workflow automation, data sovereignty, inline JavaScript and Python, and AI-native workflow nodes, metered per workflow execution rather than per task
Zapier
by Zapier Inc.
The most widely used workflow automation platform, connecting 9,000+ apps with Zaps, an official MCP server in beta, AI Agents, and Chatbots. Free tier, Professional from $19.99/mo (USD, annual).
Best for
Non-technical teams that need the largest app library available and the simplest no-code setup, with no infrastructure to run and no self-hosting decision to make
Capabilities
n8n
Zapier
Pros & Limitations
Editorial assessmentn8n
Pros
- ✓Open-source with self-hosting option that gives technical teams full data control, no per-task pricing, and no vendor lock-in: self-hosted deployments run unlimited workflows and executions at zero cost.
- ✓70+ AI agent nodes built natively into the platform using LangChain: AI Agent node can call any other n8n node as a tool, enabling autonomous workflows that query APIs, update CRMs, send emails, and generate reports without custom code.
- ✓Inline JavaScript and Python code execution lets developers handle complex data transformations, iteration logic, and API manipulation that no-code platforms cannot replicate without workarounds.
Limitations
- ⚠Self-hosted deployment requires server setup, Docker knowledge, and ongoing maintenance: not suitable for non-technical teams who should evaluate Zapier or Make.com instead.
- ⚠Smaller native app library than Zapier at 400+ integrations: most gaps are covered by the HTTP Request node for developers, but non-developers will find fewer one-click connectors.
- ⚠Cloud plan pricing is higher per execution than Make.com for teams that do not need self-hosting, and the learning curve is steeper than both Zapier and Make for users without automation experience.
Zapier
Pros
- ✓Largest app library in the market at 9,000+ integrations: if a tool has an API, Zapier almost certainly connects to it, making it the default automation starting point for non-technical teams.
- ✓No-code Zap editor means non-technical teams can build automations in minutes without engineering support, and Zapier Copilot (AI assistant) can build Zaps from natural language descriptions.
- ✓Publishes an official MCP server, labeled beta and included in an existing Zapier plan, so external AI clients including Claude, ChatGPT, and Cursor can trigger workflows across the full 9,000+ app catalog in natural language. Zapier reports 195,000+ MCP servers created and 4.6M+ tool calls completed.
Limitations
- ⚠Task-based pricing scales steeply at volume, and high-frequency automations become expensive against operation-based alternatives such as Make.com. Zapier MCP draws on the same task quota, so AI-driven usage competes with Zap runs for one allowance.
- ⚠Linear Zap model struggles with complex branching logic, iteration, and advanced data transformation that Make.com handles natively, often requiring multiple Zaps and workarounds for scenarios n8n solves in a single workflow.
- ⚠No self-hosting option, so all data passes through Zapier infrastructure, which is a blocker for teams with strict data residency requirements who should evaluate n8n self-hosted instead. Zapier's terms permit using Derived Data for model training unless the customer opts out, and automatic opt-out applies only to Company and Enterprise plans.
Frequently asked questions
What is the difference between n8n vs Zapier?
n8n and Zapier are the two most compared workflow automation platforms, and the choice usually comes down to two structural questions: who runs the infrastructure, and how the meter counts. Start with the licence, because it is the fact most often got wrong. n8n is fair-code rather than OSI open source. The source is public and self-hostable, and commercial use above a threshold requires a paid enterprise licence. Zapier is closed source and makes no claim otherwise. A team adopting n8n on the assumption of an unrestricted open-source licence will find a threshold it needs to read first. The meter is the second structural difference, and no row in the table above can show it. Zapier bills per task, where each step in a Zap counts as a task. n8n counts an entire multi-step workflow as a single execution. Two automations doing identical work can therefore land in very different places on the two meters, and the gap widens with every extra step in a workflow. Model your own step counts before reading either figure against the other. The two are denominated differently, which the table also cannot show. n8n Cloud is priced in euros, from EUR 20/mo billed annually. Zapier is priced in US dollars, from $19.99/mo billed annually, and its pricing page carries a currency selector offering twenty currencies. Both run a permanently free tier rather than a time-limited trial, and both put their top tier behind a sales conversation. On security the two are closer than the badges suggest. Both publish SOC 2 Type II and GDPR. n8n adds ISO 27001 and states HIPAA support. Zapier adds CCPA, and its SOC 2 Type II and SOC 3 reports covering June 2025 to May 2026 were published in August 2026. Data handling is where they genuinely diverge, and the table flattens it into one badge each. n8n states it does not use customer data to train AI or ML models. Zapier's terms permit using Derived Data to develop its products, including through model training, with an opt-out form available to everyone and automatic opt-out only on the Company and Enterprise plans. Those are not the same commitment. Both speak MCP, and again not identically. n8n is both server and client: it exposes workflows to external AI agents through an MCP Server Trigger node, and calls out to other MCP servers from inside a workflow. Zapier publishes a server only, labeled beta on its own product page. The vendor states it is included in an existing plan and draws on the same task quota as Zaps, so AI-driven usage competes with automation runs for one allowance. On independent evidence the two corpora differ by roughly an order of magnitude in size, with Zapier holding the far larger review base and n8n the higher average score on a much smaller one. Read those two numbers in the table as answers to different questions rather than as a like-for-like comparison. n8n also carries one of the largest followings on GitHub of any tool in this category, which is a real signal about developer adoption and says nothing about fit for a non-technical team. The decision comes down to two questions. Does your team have the capacity to deploy and maintain a workflow platform, or to run it on n8n Cloud and accept a euro-denominated bill? Is data sovereignty a hard requirement? If yes to either, n8n. If no to both, Zapier. Teams looking for a middle ground on technical complexity commonly evaluate Make.com, which meters on operations rather than tasks.
Which is best for my team: n8n vs Zapier?
n8n is best for: Technical teams that need self-hostable workflow automation, data sovereignty, inline JavaScript and Python, and AI-native workflow nodes, metered per workflow execution rather than per task. Zapier is best for: Non-technical teams that need the largest app library available and the simplest no-code setup, with no infrastructure to run and no self-hosting decision to make.
How does pricing compare between n8n vs Zapier?
n8n uses a freemium model, starting at EUR 20 per month on an annual commitment (month-to-month costs more). Zapier uses a freemium model, starting at $19.99 per month on an annual commitment (month-to-month costs more).
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