n8n vs. Make: Which is best? [2026]

As anyone knows who’s been on the receiving end of one of my alarmingly detailed travel itineraries, I strongly believe in doing my homework. So though I think Zapier is the best automation platform out there (I used it years before I even worked here), I still want you to have all the facts before making a decision on the right automation platform for you.

It’s important to look beyond feature lists and landing page promises when choosing an automation tool. You need to know what it’s actually like to build and scale on these platforms. Who are they for? Where do they shine? And where do they make you mutter to yourself, “There has to be a better way”?

In this guide, I’ll walk through the key differences between Make and n8n—including integrations, scalability, pricing, and security—so you can decide what’s right for your team, and if, in the end, Zapier is actually what you’re looking for.

Table of contents:

n8n vs. Make at a glance

Make is plug-and-play; n8n is build-and-maintain

One of the biggest considerations when choosing between Make and n8n is who’s actually going to be building your workflows—and how many favors you’ll need to call in from engineering.

Let’s start with Make. It’s a cloud-based, drag-and-drop visual automation builder that’s basically ready to roll out of the box.

The interface is a little busy, with lots of colorful icons and spaghetti-looking branches, but if you’ve dabbled in tools like Lucidchart or Figma, it won’t feel totally foreign. Sure, there’s a learning curve—especially if you’re coming from something like Zapier—but it’s still very doable for non-developers. Folks in ops, marketing, and support will have a much easier time building automated workflows for their teams in Make than n8n.

Because n8n is open source and self-hosted, you get a ton of flexibility but also inherit the joys of infrastructure: patching, staging, permission models, the whole DevOps buffet. The UI is sleeker than Make’s and looks deceptively simple—until you realize it expects you to know what you’re doing. It tosses you into variables and expressions pretty quickly, which can be powerful if you’re a developer, or terrifying if you just want to automate a lead handoff.

If you’ve got a solid dev team and want full control, n8n can deliver. But you’ll need someone who can manage servers and write JavaScript in their sleep. It’s great for engineering-led orgs, but not so great for marketing teams that just want to stop copy-pasting spreadsheet rows at 5 PM on a Friday.

Zapier, meanwhile, is easier to use than Make, with the power and flexibility of n8n.

Make has more integrations; n8n has better AI features

Another big factor to consider is how well n8n and Make talk to other tools—especially if you’re building for multiple departments or trying to scale automations across a growing organization.

Make has integrations for over 2,500 apps right out of the gate, including all the usual suspects—CRMs, email platforms, project trackers, HR tools, finance software—and a lot of those obscure apps that only your accounting team uses. The integration list pales in comparison to Zapier’s 8,000+ integrations, but still: odds are good you won’t need to wrangle APIs or webhooks just to get started.

n8n has fewer integrations (around 1,100). You still get the core apps like Google Workspace, Slack, Notion, and GitHub, but if your workflow relies on more niche tools, be ready to bust out the HTTP Request node or build a custom one. It’s doable for developers, but definitely overwhelming for the average ops or marketing person.

Where n8n pulls ahead of Make, though, is with AI. It comes with native nodes for OpenAI, Hugging Face, and Stability AI—and you can chain those together with logic, filters, variables, and all the nerdy bells and whistles. If you’re building support bots, internal agents, or any kind of AI-driven automation, n8n gives you more control than Make out of the box. You can even host your own models or wire in your own vector databases.

n8n also supports LangChain, self-hosted LLMs, and retrieval-augmented generation (RAG) setups. So if your team is dabbling in multi-agent workflows or building internal AI systems with sandboxed environments and model orchestration, this is your playground.

Just know that unlike Zapier, which boasts more integrations and better AI support, the price of admission for n8n is technical chops.

Read more: Zapier vs. n8n: Which is best for your organization?

Make has enterprise-level security; n8n’s security is DIY

When it comes to security, n8n gives you complete control—but as Uncle Ben once said, with great power comes great responsibility. n8n is open source and self-hosted (unless you pay for their cloud version), which means you get to decide where your data lives, how it’s encrypted, who has access, and when it’s updated.

If your company already has infrastructure, security protocols, and a team that eats YAML files for breakfast, n8n could be a great fit. But if you’re working with a leaner team—or you’re trying to avoid becoming the DevSecOps person by accident—then Make is probably the simpler, safer bet.

Make is a fully hosted platform, which means most of the heavy lifting around infrastructure, security patches, encryption, and compliance is handled behind the scenes. You log in, build your workflows, and trust that the SOC 2 Type II fairy has already sprinkled the necessary dust.

Of course, it’s not quite up to the level of Zapier’s managed security model, where IT teams can set detailed role-based privileges and have granular access over their organization’s user activity. While Zapier’s enterprise users are automatically opted out of AI model training and their compliance is handled automatically, Make’s governance relies more on user discipline. That means in large orgs, there’s more risk of inconsistent practices across teams.

Read more: Zapier vs. Make: Which is best?

n8n is much harder to scale

Most platforms feel the same when you’re just automating a few things here and there. But once you start rolling out automation across multiple teams, the behind-the-scenes architecture really starts to matter.

Because n8n is self-hosted (unless you’re using their paid cloud version), it’s much more complicated to scale, especially if your team doesn’t already have the infrastructure in place. You’re in charge of provisioning servers, optimizing performance, managing backups, monitoring uptime, and making sure your infrastructure can handle whatever you throw at it. It’s totally doable, but only if you’ve got the technical know-how and time to maintain it.

Make, on the other hand, is a fully managed, cloud-based platform, like Zapier. That means it handles scaling for you. As you add workflows, traffic, and users, just upgrade your plan and keep building.

n8n’s pricing is better for complex workflows, while Make’s is better for simple automations

If you’re self-hosting n8n, the license itself is technically free to use. Just remember that if you’re self-hosting, you’re also signing up for everything that comes with it: infrastructure, backups, monitoring, security, patching, updates—all the things that don’t show up on the invoice but definitely show up on your calendar.

n8n can be cost-effective if you’ve got the engineering muscle to support it. Otherwise, you’re likely trading SaaS pricing for hidden ops costs.

Even the hosted version starts at a relatively low cost. The big difference is in the billing model: n8n charges by execution—meaning you pay for each full workflow run, not every individual step inside it. So if you’ve got a gnarly 10-step automation that runs 1,000 times a month, you’re paying for 1,000 executions, not 10,000 actions. That’s a win for teams building complex, multi-step workflows that run frequently.

Make’s pricing model, on the other hand, is more traditional SaaS: pick a plan, get a set number of “operations” (AKA individual steps in your workflows), and go. That’s great for smaller, straightforward automations. You always know what you’re working with, and it’s easy to explain to non-technical stakeholders.

But unlike Zapier’s task-based model, which only charges you for “work” actions, Make uses an operation credit for each individual step. Platform features like filtering, formatting, looping, and error handling don’t count against your credit usage in Zapier, but that’s not the case with Make. As your workflows get more complex—with branching logic, loops, polling triggers, or even errors—your plan’s operation credits can disappear fast. So a 10-step workflow in Make that runs 5,000 times per month could potentially use 50,000+ operations per billing cycle.

In short, n8n’s execution-based pricing encourages building big, complex workflows, which sounds efficient until you realize you’ve created a monster that’s hard to maintain or hand off. Meanwhile, Make’s pricing nudges you toward smaller, low-volume workflows, which can rack up in cost as your usage balloons. If you want predictable pricing that’s both accessible and scalable, Zapier is your best bet.

Which automation platform is right for you?

The choice between n8n and Make mostly comes down to whether you want a plug-and-play solution like Make, or if self-hosting n8n outweighs the massive technical and infrastructure costs for you. But if you’re looking beyond the basics to build not just automations, but systems that connect tools, teams, and AI, Zapier gives you the best of both worlds—and more.

Zapier is an orchestration platform that lets your company turn disconnected apps and processes into streamlined, AI-powered systems. Do everything from automating your sales pipeline to syncing databases and coordinating projects across teams, all from a single, scalable platform.

With Zapier, you can:

• Orchestrate entire processes, not just single tasks—automate dozens of steps across 8,000+ tools, without a line of code.

• Embed AI into your workflows, using integrations with nearly 500 AI tools, as well as AI Agents that can take action on your behalf based on your specifications.

• Unify teams across departments, so Sales, Marketing, Support, and Operations can build their own automations without waiting on Engineering.

• Scale without the overhead, growing your automation footprint without spinning up servers or managing security—it’s all built in.

And because Zapier is designed to be approachable and extensible, it’s just as useful for a solo marketer as it is for an enterprise IT team managing thousands of workflows. In other words, Zapier gives you the power of n8n without the complexity, the ease of Make without the limitations, and a future-ready platform built for AI-powered orchestration at scale.

Learn more about Zapier’s AI orchestration, or get started with one of these business automation templates.

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