n8n vs Make vs Zapier: Which Automation Platform to Choose

Every "n8n vs Make vs Zapier" comparison you will find is written by one of three people: a vendor, an affiliate, or someone who tried each tool for an afternoon. We have shipped production workflows on all three for clients, and we run n8n inside our own products. This is the comparison we give clients when they ask which one to pick.

The short version: Zapier is the fastest way to connect two apps, Make is the best visual builder for mid-complexity flows, and n8n is the right choice once volume, data control or custom logic start to matter. The rest of this article explains where those lines fall.

The comparison at a glance

Pricing models decide more than features

The pricing model is the most underrated difference between the three, because it changes which workflows are affordable to build at all.

Zapier charges per task. Every action step that successfully runs counts. A Zap with one trigger and five actions uses five tasks each time it fires.

Make charges per operation. Every module that runs counts, including routers, iterators and aggregators. A flow that loops over 100 order lines and touches each one three times uses hundreds of operations per run.

n8n Cloud charges per workflow execution, regardless of how many steps the workflow has. Self-hosted n8n costs nothing per execution: you pay for the server.

What this means in practice:

• A short workflow that runs a few hundred times a month is cheap anywhere. Pick on convenience.
• A long workflow with many steps, or one that loops over lists, is where Zapier and Make bills grow quickly. The same logic on n8n costs one execution per run, or only server time when self-hosted.
• High-volume, event-driven automation, such as processing every order, every inbound email or every crawled page, is where self-hosted n8n usually wins by a wide margin.

Check each vendor's current pricing page before deciding. Plans and limits change, but the unit each one charges for has been stable, and the unit is what drives cost at scale.

Hosting and data control

Zapier and Make are software-as-a-service only. Your data passes through their infrastructure, which is fine for most marketing and sales automation.

n8n can run on your own server, in your own cloud account, or inside a private network. That matters when:

• You handle personal, health or financial data and need to control where it is processed.
• You operate in a region with data-residency rules.
• The systems you automate are internal and not reachable from the public internet.
• You are in a market where paying for foreign SaaS is difficult, or where a vendor's service is not available.

Self-hosting is not free of work. Someone has to handle updates, backups, monitoring and scaling. For a single small workflow, that overhead is not worth it. For an automation layer the business depends on, it usually is.

Complexity and custom logic

Zapier is built around linear flows. It has filters, paths and formatter steps, and they cover a surprising amount of ground. Once a workflow needs loops over data, complex branching or real error handling, Zapier starts to feel like a workaround.

Make is a genuinely good visual programming environment. Routers, iterators, aggregators and its data-mapping panel handle branching flows well, and non-developers can read the result. Very large scenarios become hard to navigate, and anything the modules do not cover means reaching for HTTP modules and careful JSON handling.

n8n sits closest to code. It has branching, loops, sub-workflows, dedicated error workflows and code nodes where you write JavaScript or Python when the visual tools run out. For developers this is the main attraction: you never hit a wall where the only answer is "that's not possible in this tool."

Integrations

Zapier has the largest integration library by a wide margin, with thousands of apps. If your stack is a long tail of niche SaaS tools, Zapier probably has all of them.

Make has a large library that covers most mainstream tools.

n8n has fewer native nodes, but its HTTP Request node and community nodes connect to anything with an API. In our experience, the missing native integration is rarely the blocker. Understanding the other system's API is, and that work is the same in every tool.

AI features

All three now offer AI steps, and all three can call models from OpenAI, Anthropic and Google.

n8n goes furthest for building AI systems rather than adding one AI step. It has agent nodes that call tools, conversation memory, vector store integrations for retrieval-augmented generation, and the freedom to mix those with ordinary logic and code. In our custom RAG assistants and the AI layer of Hashtpa, n8n handles orchestration, queues and retries around model calls.

If you only need "summarize this email" or "classify this ticket" as one step in a flow, Zapier's and Make's AI steps are perfectly adequate.

When each one is the wrong choice

• Zapier is the wrong choice for high-volume flows, workflows that loop over lists, or anything that needs real error handling. The bill and the workarounds both grow faster than the value.
• Make is the wrong choice when data must stay in your infrastructure, or when a scenario has grown so large that nobody on the team can safely change it.
• n8n is the wrong choice when nobody can own a server and the automation is small. Use n8n Cloud, or use Zapier and move on.

How we choose on client projects

We ask four questions:

1. How many runs a month, and how many steps per run? That decides the cost curve.
2. Where does the data need to live? That can rule out SaaS on its own.
3. Who maintains it after launch? A marketing team that owns its own automations may be happier in Zapier or Make than in a more powerful tool they cannot change.
4. Is AI or custom code at the core, or on the edge? At the core, n8n.

Most of our production automation runs on self-hosted n8n. In the MailFlow campaign suite, launching a campaign starts an n8n flow that sends, waits, checks opens and queues follow-ups to people who did not open. In our price monitoring panel, n8n schedules the crawlers, retries failures and sends alerts. We still build in Zapier and Make when the client's team will own the flows and the volume is modest.

Migrating between them

Moving from Zapier or Make to n8n is common once volume grows. A few lessons:

• Rebuild, don't translate. Map what each flow does in business terms, then build it the way n8n works best. A literal step-by-step copy carries over the old tool's workarounds.
• Run both in parallel for a week and compare outputs before switching off the old flow.
• Move the expensive flows first. The high-volume flows drive both the bill and the benefit of switching.

If you want help choosing or migrating, see our automation and AI service. We usually have the first flow running on your real accounts within the first week.