Make vs Zapier vs n8n: Which No-Code Automation Tool Wins in 2026?

Ask five different automation nerds which tool they’d recommend and you’ll get three different answers, usually delivered with a strong opinion attached. That’s because Zapier, Make, and n8n aren’t really competing for the same job. They overlap enough that people compare them constantly, but each one was built around a different assumption about who the user is and how much control they want over the plumbing.

This comparison puts all three side by side on the things that actually change a buying decision: what they cost at real usage levels, how many apps they connect to, how long it takes to get productive, whether you can run the thing on your own server, and how seriously each one has invested in AI. There’s a recommendation at the end, but the honest answer is that the right tool depends heavily on who’s building the workflow and how much of it needs to survive contact with an edge case.

The comparison table

A few numbers on that table deserve context before you use them to make a decision, so let’s walk through where each one comes from.

Pricing: the gap is bigger than the sticker prices suggest

Zapier’s Free plan gives you 100 tasks a month, but it caps you at two-step Zaps, which means trigger plus one action and nothing else. That’s fine for a single Slack notification when a form gets submitted. It falls apart the moment you want to filter, format, or send data to more than one place. Professional costs $29.99 a month, or $19.99 if you pay annually, and includes 750+ tasks along with multi-step Zaps, filters, and paths. Team runs $103.50 a month (or $69 annually) for 2,000+ tasks, 25 users, and SSO. Enterprise is custom-priced starting around 5,000+ tasks. The pattern here is familiar to anyone who has used Zapier for more than a few months: costs climb fast once a workflow touches more than a couple of apps per run, because every action counts as a billable task.

Make’s pricing looks almost gentle by comparison. The free plan includes 1,000 operations a month across two scenarios, running on a 15-minute check interval. Core costs $9 a month billed annually and jumps to 10,000 operations with unlimited scenarios and a 1-minute interval. Pro adds full execution logs and custom variables for $16 a month annually. Teams, at $29 a month annually, adds shared templates and role-based permissions. The catch is that Make bills in “operations,” which are more granular than Zapier’s tasks, so a complex scenario with loops or iterators can burn through credits faster than the sticker price implies. Still, for most small-to-midsize workflows, Make comes out meaningfully cheaper than Zapier at comparable volume.

n8n flips the pricing model entirely. There’s no free cloud tier at all. Cloud Starter runs $20 a month annually for 2,500 executions, Cloud Pro is $50 a month annually for 10,000 executions with three shared projects and 20 concurrent executions, and Cloud Business jumps to $667 a month annually for 40,000 executions with SSO and git-based version control. What makes n8n different is the Community Edition: it’s free, open-source, and self-hosted, with no execution cap at all. Hosting it typically costs somewhere between $4 and $7 a month on a small VPS. For anyone comfortable maintaining a server, that turns n8n from the most expensive option on paper into potentially the cheapest one in practice, especially at high volume where Zapier and Make would otherwise charge for every additional task or operation.

Integration breadth: Zapier still wins by a wide margin

Zapier’s integration count, north of 7,000 apps, remains its clearest competitive advantage and the reason it still gets recommended as a default. If you need to connect some niche CRM or a regional payment processor that almost nobody else has heard of, Zapier is more likely to already support it out of the box.

Make covers roughly 3,000 connectors, which is enough for the vast majority of common business tools, but it’s noticeably thinner once you get into long-tail or regional software. n8n’s native node library is smaller in raw count, sitting in the hundreds rather than the thousands, but it makes up ground with generic HTTP, webhook, and API nodes that let a technical user connect to almost anything with a documented API, even without a purpose-built integration. That flexibility comes at the cost of needing to actually understand how the target app’s API works, which is a very different experience from clicking a pre-built connector.

Learning curve: the order rarely surprises anyone

Zapier is designed so that someone with zero technical background can build a working automation inside twenty minutes. The interface walks you through picking a trigger, an action, and mapping fields between them, and it rarely asks you to think about data structures at all.

Make asks a little more of you. Its visual canvas shows scenarios as connected modules with routers and branches, which is more powerful than Zapier’s linear Zaps but takes some getting used to. Most people who’ve built a spreadsheet formula or two can pick it up within a few sessions, and the visual layout actually helps once workflows get complicated, since you can see the whole flow at a glance instead of scrolling through steps.

n8n has the steepest curve of the three. It’s node-based like Make, but its nodes expose more raw data, more configuration options, and more ways to write actual JavaScript expressions inline. Someone with a bit of scripting background will feel at home quickly. Someone without one will hit a wall the first time they need to transform data between two nodes that don’t format things the same way. That said, n8n’s community has produced a large library of shared workflow templates, which shortens the learning curve considerably if you can find one close to what you’re building.

Self-hosting and data control

This is the category where n8n stands entirely alone. Neither Zapier nor Make offers any self-hosting option at any price tier; your data runs through their cloud infrastructure regardless of how much you pay. For most users that’s a non-issue, but for teams with strict data residency requirements, compliance obligations, or just a strong preference for not routing customer data through a third party, it matters a great deal.

n8n’s Community Edition is free and open-source, and running it yourself typically costs a few dollars a month in server hosting. That gives technical teams full control over where data lives and how long it’s retained, plus the ability to modify the tool’s behavior directly since the source is open. It also means you’re responsible for uptime, updates, and security patching, which isn’t a small commitment. If you’d rather not manage a server but still want n8n specifically, its cloud tiers exist for that reason, though they lose the cost advantage that makes self-hosting appealing in the first place.

AI support: n8n treats it as core, the other two treat it as an add-on

By mid-2026 every automation tool claims some kind of AI story, but the depth varies a lot once you look closely. Zapier has added AI fields and standalone AI Agents and Chatbots, both sold as separate add-ons rather than bundled into existing plans. They work, but they read as features bolted onto a platform that was designed a decade before generative AI existed, and the pricing reinforces that impression.

Make includes basic AI modules that connect to OpenAI, Claude, and similar providers, letting you drop AI calls into a scenario alongside everything else. It’s functional but not a particular strength of the platform, and Make hasn’t repositioned itself around AI the way some newer entrants have.

n8n has gone the furthest here. It includes native AI Agent nodes and LangChain integration, and its node-based structure maps naturally onto the kind of branching, conditional logic that AI agent workflows tend to need. Building something like a multi-step agent that calls different tools based on a model’s output is a much more native experience in n8n than trying to force it into Zapier’s linear Zap structure or Make’s scenario canvas. If AI-driven automation is the actual goal rather than a nice-to-have, n8n currently has a real structural advantage.

Which one should you actually pick

There isn’t a single winner here, and anyone who tells you there is hasn’t tried building the same workflow in all three. What there is, though, is a fairly clear match between each tool and a type of user.

Choose Zapier if you’re new to automation, you value having virtually any app you might need already connected, and you don’t mind paying a premium for that convenience and the smoothest onboarding available. It’s still the safest default for a non-technical team building its first handful of workflows.

Choose Make if you want visual, multi-step automation on a tighter budget, you don’t need self-hosting, and Zapier’s per-task pricing already feels uncomfortable at your usage level. Make’s canvas view also just makes complex branching logic easier to reason about than a list of linear steps.

Choose n8n if you have some technical comfort on your team, you’re running high enough volume that cloud task pricing starts to hurt, you want to self-host for cost or data control reasons, or your workflows involve complex branching logic and AI agents rather than simple linear triggers. The learning curve is real, but so is the ceiling on what you can build once you’re past it.

It’s also worth saying plainly that these tools aren’t mutually exclusive across an organization. It’s common for a marketing team to run Zapier for quick app connections while an engineering or ops team self-hosts n8n for anything higher-volume or more complex, with Make sitting somewhere in between for teams that want a visual builder without Zapier’s cost structure.

FAQs

Is Make cheaper than Zapier?

Yes, at nearly every comparable usage level. Make’s Core plan starts at $9 a month annually versus Zapier Professional at $19.99 a month annually, and Make’s operation-based billing tends to stretch further than Zapier’s per-task counting for typical workflows. The exception is scenarios with heavy loops or iterators, where Make’s credit consumption can climb faster than expected.

Can n8n really be free?

The Community Edition is free and open-source with no execution limit, but “free” only covers the software itself. You still need somewhere to run it, which usually means a small VPS costing around $4 to $7 a month, plus your own time for setup, updates, and troubleshooting. There’s no free tier at all for n8n’s managed cloud plans.

Which tool has the most integrations?

Zapier, by a wide margin, with more than 7,000 supported apps compared to Make’s roughly 3,000 and n8n’s several hundred native nodes. n8n narrows that gap somewhat through generic HTTP and API nodes that can connect to almost any service with a documented API, but that requires more manual configuration than a pre-built connector.

Is n8n harder to learn than Zapier and Make?

Generally, yes. Zapier is built for zero technical background, Make’s visual canvas requires a bit more familiarity with branching logic, and n8n exposes the most configuration detail and often benefits from basic scripting knowledge. n8n’s large library of community-shared templates does soften this curve if you can start from a workflow close to your use case.

Do any of these tools support self-hosting?

Only n8n does, through its free Community Edition. Zapier and Make are cloud-only at every pricing tier, so if self-hosting or strict data residency is a requirement, n8n is currently the only option among the three.

Which one is best for AI-driven workflows?

n8n currently has the deepest AI support, with native AI Agent nodes and LangChain integration built into its core structure. Zapier and Make both offer AI features, but they’re layered on top of platforms originally designed for simpler, linear automations rather than built around agent-style logic from the start.

Related guides

• n8n vs Zapier: Which Should You Use in 2026?
• Zapier vs Make: Which No-Code Platform Should You Choose in 2026?
• Best No-Code Automation Tools in 2026
• What Is n8n? The Open-Source Automation Tool Explained