n8n vs Zapier vs Make 2026: The Real Comparison

If you're evaluating workflow automation platforms in 2026, three names dominate the conversation: n8n, Zapier, and Make (formerly Integromat). All three connect your business tools and run workflows automatically. The right pick depends on your team's technical comfort, workflow volume, and how much control you need over your data.

We build client automations on all three, which means we get to see where each one shines and where each one quietly bleeds money. Here's the comparison we actually run in scoping calls, including the Zapier vs Make head-to-head for teams who've already ruled out self-hosting.

The short version

	Zapier	Make	n8n
Pricing unit	Per task (every step counts)	Per operation (modules bundle steps)	Per execution (cloud) or flat VPS cost (self-hosted)
Entry cost	Free tier; Professional from $73/mo	Free tier (1,000 ops); Pro from $16/mo	Cloud from $20/mo; self-hosted $15–$25/mo VPS
Cost at high volume	$400–$1,800/mo	40–60% less than Zapier	$15–$25/mo self-hosted, flat
Learning curve	Gentlest	Moderate (visual canvas)	Steepest (node editor, some DevOps)
Complexity ceiling	Low: linear flows strain at branching	High: branching, loops, aggregation native	Highest: inline JavaScript/Python
Integrations	8,000+ (largest)	Smaller, majors covered, HTTP module for the rest	1,000+ native, HTTP + code for anything
AI capabilities	Basic AI actions	Solid model integrations, more glue required	70+ AI nodes, LangChain, agent workflows
Self-hosting	No	No	Yes (Docker/Kubernetes)
Best for	1–2 simple automations, zero technical resources	Complex logic without code	Volume, AI, regulated data, cost control

That table decides it for most teams. The rest of this post is the reasoning, plus the traps each pricing model hides.

Pricing: where the gap is widest

This is usually the deciding factor at scale, and the three platforms charge in genuinely different ways.

Zapier charges per individual task, and every step in a workflow counts. A 7-step workflow that fires 100 times a day burns 21,000 tasks a month. Zapier's Professional plan starts at $73/month for 2,000 tasks; you'd exhaust that in two days. Heavy users land on Team or Company plans at $400–$1,800/month. The trap: task pricing punishes exactly the multi-step workflows that deliver the most value, so your bill scales with your ambition.

Make charges per "operation" but bundles steps inside complex modules more aggressively than Zapier counts tasks. The free tier is a genuinely useful 1,000 operations, and the Pro plan is $16/month for 10,000. For equivalent mid-volume work, Make typically costs 40–60% less than Zapier. It's the value pick among the hosted options.

n8n is by far the cheapest at scale. A self-hosted instance runs $15–$25/month on a basic VPS regardless of workflow volume. n8n Cloud starts at $20/month with generous execution limits. For high-volume B2B operations workloads, n8n routinely replaces $500+/month in Zapier spend. Run that same 21,000-executions-a-month workload from the Zapier example on a self-hosted instance and your platform bill is a rounding error.

Ease of use: where Zapier wins

If you've never built a workflow before, Zapier's interface is the most forgiving. A linear step-by-step builder, the largest pre-built integration library, and a UI that holds your hand through every decision. For "when I get a form submission, add a row to a sheet and post to Slack," Zapier is fastest from idea to running automation. Minutes, not hours.

Make sits in the middle. Its visual canvas takes about 30 minutes to click with, but there's a payoff most comparisons miss: complex workflows are actually clearer in Make than in Zapier, because you can see every branch on one screen instead of scrolling a linear list and guessing where the logic forks. Simple flows read better in Zapier; complicated ones read better in Make.

n8n has the steepest learning curve of the three. The node-based editor is engineer-friendly rather than marketer-friendly, and self-hosting requires some Docker and Linux comfort (our self-hosting guide covers the full setup). The reward is worth it for high-volume teams. It's not where you start if you've never automated anything.

Complex logic: where Make and n8n win

Once your workflows need real conditional branching ("if A then B, unless C, in which case D"), Zapier's linear structure becomes painful. In practice you hit the ceiling the moment your workflow needs any of these:

Multiple conditional branches with different paths
Looping over arrays of items
Aggregating data from several sources before acting
Real error handling and retries

Zapier's workaround is parallel Zaps that have to stay in sync by hand, which is its own maintenance problem. Make handles all four natively on the canvas. n8n goes further with native JavaScript and Python nodes: any data transformation that lacks a built-in module, you write inline and move on.

For our quote-to-cash automation builds, this is the deciding factor. Real B2B billing logic has too many edge cases to fit cleanly into Zapier's linear flow.

Zapier vs Make: the head-to-head

Plenty of teams have already ruled out self-hosting and just need to pick between the two hosted platforms. The choice comes down to a single trade-off: Zapier optimizes for simplicity, Make optimizes for capability.

Zapier thinks in "Zaps," mostly linear sequences of trigger then actions. It has the largest app ecosystem of any platform (8,000+ integrations) and the gentlest possible learning curve. If you need to connect an obscure long-tail SaaS tool, Zapier is the most likely to have it pre-built.

Make thinks in "scenarios," visual flowcharts where you branch, loop, aggregate, and route with far more control. Its connector library is smaller but covers the major B2B tools well, and its HTTP module handles anything without a native connector, with a bit more setup.

Choose Zapier if: your automations are simple and mostly linear, you need a niche integration only Zapier supports, or nobody on your team wants to learn a more capable tool.

Choose Make if: your workflows need branching, loops, or aggregation, you're cost-conscious at moderate complexity, or you want to see the whole workflow visually.

The tell in real engagements: the moment a client describes a workflow using "depending on," "for each," or "but only if," they're describing Make's home turf and Zapier's ceiling.

AI capabilities

All three now have AI nodes. The depth varies dramatically.

n8n leads here, and it isn't close. 70+ dedicated AI nodes with deep LangChain integration. You can build agents that research prospects, summarize contracts, route tickets, and generate proposals, all inside the same visual editor that runs the rest of your operations.

Make has solid AI integrations (OpenAI, Anthropic, Mistral) but they're standalone modules. Building agentic workflows means more glue work between the AI step and everything around it.

Zapier added AI Actions in 2024, positioned more as fancy if-then than agent orchestration. Fine for email classification or content drafting. Not the tool for a multi-step AI workflow.

Self-hosting and data control

For companies handling sensitive financial, healthcare, or client data, this section is the whole decision.

n8n: full self-hosting on Docker or Kubernetes. Your data never leaves your infrastructure.
Make: SaaS-only. Data flows through their EU or US infrastructure.
Zapier: SaaS-only. US-hosted.

If you're regulated (HIPAA, PCI, strict SOC 2), self-hosted n8n is the only realistic option among the three. Every payer-portal and EMR workflow in our healthcare automation practice runs on self-hosted n8n inside the client's own cloud account for exactly this reason.

Migration paths: you're not locked in

A pattern we see constantly: a team starts on Zapier (correctly, it was the fastest way to prove value), the bill crosses $500/month two years later, and they assume they're stuck. They're not. Workflow logic ports between platforms; it's the connectors and error handling that need rebuilding, and that's days of work, not months.

The common graduation path is Zapier to n8n once volume makes the math obvious. We've documented the whole process in our Zapier-to-n8n migration guide, including which Zaps to move first and which to just leave running.

Our pick for B2B operations teams

For most B2B companies of 20–200 employees:

Start with Zapier if you have 1–2 simple automations and zero technical resources.
Use Make if you want a middle-ground tool that handles complexity without writing code.
Use n8n once you're past a few thousand executions a month, need real AI capabilities, want to self-host, or want long-term cost control.

We build the majority of our client automations on n8n for those reasons — it's a core enough practice that it has its own service page. The cost curve flattens at scale, and the AI tooling has matured fast.

When the platform doesn't matter

A reminder: the platform you pick matters less than the workflow design. We've seen Zapier setups that ship reliably for years and n8n setups that crash weekly because they were built without error handling. A platform decision won't save a workflow nobody designed.

If you'd rather skip the platform decision entirely, our custom integrations service includes platform selection in every build, or book a free 30-minute discovery call if you want help picking the right one for your stack.

n8n vs Zapier vs Make: Which Automation Platform Wins in 2026?