n8n vs Zapier vs Make: Which One to Use and When
The short version: Zapier is the easiest to start with. Make gives you the most visual control over complex logic. n8n is the only one you can self-host, and it's the cheapest at scale. The right choice depends on your team's technical comfort, your execution volume, and whether you need your data to stay on your own infrastructure.
Here's the detailed breakdown.
Pricing at scale is where these tools diverge most
Zapier charges per task (each step in a workflow counts as one task). At low volumes this is fine. At high volumes it gets expensive fast. If you run a workflow with 5 steps that triggers 1,000 times per month, that's 5,000 tasks. Zapier's pricing tiers are built around task limits, and crossing a threshold means jumping to a significantly higher plan.
Make charges per operation, similar concept. The key difference: Make's operations are cheaper per unit than Zapier's tasks, and Make gives you more granular control over which operations count.
n8n doesn't charge per execution at all on the self-hosted version. You pay for the infrastructure to run it (a VPS, typically) and that's it. On n8n Cloud, there are execution limits, but they're higher than Zapier's equivalent tiers. For teams running thousands of workflow executions per month, n8n self-hosted is dramatically cheaper.
The crossover point where n8n becomes cheaper than Zapier is lower than most people expect. A basic VPS costs around $10-20/month and handles more throughput than a $100+ Zapier plan.
Self-hosting: n8n's biggest differentiator
n8n is the only one of the three you can run on your own servers. Make and Zapier are cloud-only.
This matters for two reasons. First, data compliance. If you handle healthcare data (HIPAA), financial data, or operate under GDPR with strict data residency requirements, self-hosting means your workflow data never leaves your infrastructure. With Zapier and Make, your data passes through their servers.
Second, cost predictability. Self-hosted n8n has no per-execution pricing. Your costs are your server bill plus your time managing it. For organizations that run heavy automation workloads, this is a significant financial advantage.
The tradeoff: you're responsible for uptime, updates, and backups. If you don't have someone comfortable with Docker and basic server administration, n8n Cloud or the other platforms are better choices. We wrote a full guide on self-hosting n8n with Docker and Postgres if you want to see what's involved.
AI and agent capabilities
This is where the landscape has shifted in 2026. All three platforms have added AI features, but the depth varies.
n8n has native LangChain integration and supports building full AI agent workflows with tool calling, memory, and chain-of-thought reasoning. You can build multi-step agents that use RAG (retrieval-augmented generation), connect to vector databases, and call external tools via MCP (Model Context Protocol). n8n also lets you write custom code nodes in JavaScript or Python when the built-in nodes aren't enough, which matters when you're doing anything non-standard with AI.
Zapier has AI actions and a chatbot builder. These are polished but more constrained - you're working within Zapier's framework for what an AI action can do. Good for simple use cases like "summarize this email" or "draft a response," but limited for custom agent architectures.
Make has added AI modules but they're more basic than n8n's. Make's strength is in visual logic and branching, not in building autonomous AI systems.
If AI agent development is a priority, n8n has the strongest foundation.
Ease of use
Zapier wins here. The interface is the most intuitive, the trigger/action model is easy to understand, and the library of pre-built integrations is the largest. A non-technical person can build a working automation in 15 minutes with Zapier.
Make is more complex but gives you more control. The visual canvas lets you see branching logic, error handling, and parallel paths in a way that Zapier's linear format doesn't. The learning curve is steeper but the ceiling is higher.
n8n sits between the two. The canvas-based editor is similar to Make's, and the node system is powerful but requires more understanding of how data flows between steps. Writing custom code is trivial in n8n (just add a Code node), which is either a benefit or a drawback depending on your team.
Integration count
Zapier has the most integrations. Over 6,000 apps at last count. If the tool you need is obscure, Zapier probably has it.
Make has around 1,500+ integrations. Fewer than Zapier but covers all the major platforms.
n8n has 400+ built-in nodes plus community nodes. The number is smaller, but n8n's HTTP Request node and Code node mean you can integrate with anything that has an API. You just need to configure the request yourself rather than using a pre-built connector.
For most businesses, all three cover the tools you actually use. The integration count matters most when you work with niche industry-specific tools.
Error handling and debugging
Make has the best visual error handling. You can set up error routes, retries, and fallback paths directly on the canvas. When something fails, you see exactly which module broke and why.
n8n's error handling is solid. You can catch errors, set up retry logic, and use error trigger workflows. The execution log shows detailed input/output for every node, which makes debugging straightforward.
Zapier's error handling is the most limited. You get error notifications and can set up paths for some error conditions, but the debugging experience is less granular than Make or n8n.
Which one for which situation
Choose Zapier if: your team is non-technical, you need the widest app coverage, your workflow volumes are moderate (under 2,000 tasks/month), and you value speed of setup over flexibility.
Choose Make if: you need complex branching logic with visual clarity, your team is comfortable with a more technical tool, you want better error handling than Zapier, and you don't need self-hosting or deep AI capabilities.
Choose n8n if: you want to self-host for data compliance or cost control, you're building AI agent workflows, you run high-volume automations where per-execution pricing becomes expensive, or your team has enough technical skill to work with code nodes when needed.
There's no wrong answer at the entry level. All three will handle "when X happens, do Y" workflows. The differences emerge at scale, with complex logic, and when you need capabilities outside the standard integration library.
FAQ
Is n8n really free?
n8n's self-hosted Community Edition is free and open source under the Sustainable Use License. You pay only for hosting. n8n Cloud has paid plans with execution limits. The self-hosted version has no execution limits.
Can I migrate from Zapier to n8n?
There's no automatic migration tool. You need to rebuild workflows manually. However, the concepts map directly - Zapier triggers become n8n trigger nodes, Zapier actions become n8n action nodes. Most people start by rebuilding their highest-volume workflows first to get the biggest cost savings.
Which is faster to set up for a simple automation?
Zapier. Creating a "when I get an email with an attachment, save it to Google Drive" workflow takes about 3 minutes in Zapier. The same in Make or n8n takes 5-10 minutes. The gap closes as workflows get more complex.
Does n8n support the same apps as Zapier?
Not all of them. Zapier has 6,000+ integrations vs n8n's 400+. But n8n's HTTP Request node can connect to any REST API, and custom code nodes can handle anything else. The major platforms (Google, Slack, databases, CRMs, payment processors) are all covered natively.