Zapier vs Make (Integromat) vs n8n: Best Automation Tool in 2026
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Zapier vs Make (Integromat) vs n8n: Best Automation Tool in 2026
Let me start with a scene you probably recognize. It's Sunday night. You've got a spreadsheet open with 40 new leads from a Facebook form, and you're manually pasting each one into your CRM, then into Mailchimp, then sending yourself a Slack message so you don't forget to follow up. It takes 90 minutes. You've told yourself three times this month that you'd automate it.
That's the gap these three tools fill. Zapier, Make, and n8n all connect your apps and run the boring parts for you. But they're built for different people, and picking the wrong one means either paying too much or fighting a tool that doesn't match how your brain works.
I've run production workflows in all three. Here's what actually matters in 2026.
The 30-second answer
- Zapier if you want the widest app coverage and the least setup friction, and you're okay paying a premium for it.
- Make if you want visual control over complex, branching logic without writing code, at roughly half Zapier's price.
- n8n if you need to self-host, handle sensitive data, or build workflows that mix no-code with real JavaScript and Python.
Everything below is the reasoning behind those three lines.
What each tool actually is
Zapier
Zapier launched in 2011 and built its reputation on one thing: connecting apps that have no business talking to each other. It's the "it just works" option. You pick a trigger ("new row in Google Sheets"), pick an action ("create HubSpot contact"), map the fields, turn it on. Five minutes.
The tradeoff is cost and flexibility. Zapier's pricing scales aggressively with task volume, and its logic tools — Paths, Filters, Formatters — are capable but more limited than what Make and n8n offer.
Make
Formerly Integromat, rebranded in 2022. Make's canvas is a visual flowchart: modules connected by lines, with routers that split into branches, iterators that loop over arrays, and aggregators that collect results back together. If you've ever sketched a workflow on a whiteboard, Make looks like that sketch came alive.
It's more technical than Zapier and less than n8n. The learning curve is real — expect a weekend to get comfortable — but the ceiling is much higher.
n8n
n8n is the developer-friendly one. It's source-available under a fair-code license, meaning you can download it and run it on your own server for free. It supports native JavaScript and Python code nodes, has an AI/LangChain node set built in, and can hit any REST API without waiting for someone to build an official integration.
The catch: self-hosting means you own the server, the updates, and the 2 a.m. problems. n8n Cloud exists if you'd rather not, but then you lose most of the cost advantage.
Feature breakdown
App integrations
This is Zapier's strongest card. It maintains over 6,000 app integrations, including long-tail tools that Make and n8n have never touched. If you use a niche vertical SaaS product, there's a decent chance Zapier supports it and the others don't.
Make covers roughly 2,000 apps — enough for 95% of small business stacks, but you'll occasionally hit a wall.
n8n ships around 400+ core nodes, plus 1,000+ community-contributed nodes of varying quality. The real number is effectively unlimited, because the HTTP Request node lets you call any API with an API key. You just have to read the docs and build the request yourself. For popular apps like HubSpot, Slack, or Notion, the native nodes are solid. For obscure ones, you're writing JSON.
How you build logic
Zapier is linear by default. One trigger, a chain of actions. When you need branching, you add Paths — essentially if/else forks — or Filters that stop a Zap when conditions aren't met. Loops require the Looping by Zapier action, which is workable but not elegant. Complex multi-branch workflows get visually messy fast.
Make was designed around branching. A Router module splits the flow into as many routes as you want, each with its own filter conditions. Iterators handle arrays, aggregators recombine them. You can nest this several levels deep and still read the diagram. This is where Make genuinely outclasses Zapier.
n8n gives you both. You get the visual canvas with branching and merging, plus an IF node, a Switch node, a Merge node, and code nodes when the visual approach runs out. If your logic needs a custom transformation — parsing a weird webhook payload, deduplicating records by fuzzy match — n8n is the only one of the three where you just write the function.
Error handling and debugging
This is the part nobody thinks about until something breaks at 2 a.m. and 300 customers get the wrong email.
Zapier gives you Zap History with per-step input/output inspection, automatic retries on certain errors, and email alerts on failure. Its "Autoreplay" feature re-runs failed Zaps once the underlying issue resolves. Decent, but debugging a five-path Zap means clicking through each path's history separately.
Make has the best debugging experience of the three. You can right-click any module and run it individually to test it in isolation, pin sample data so you're not burning operations during development, and replay a scenario from a specific module rather than from the start. The scenario detail log shows every operation's input and output in one continuous view. For iterative building, this saves hours.
n8n logs every execution with full data, supports manual re-execution of individual nodes, and — critically — lets you set an error workflow: a separate workflow that fires when the main one fails. That's the kind of thing you'd otherwise build yourself. It also has a built-in "retry on fail" toggle per node with configurable attempts and wait intervals.
AI and agents
All three shipped agent-building features through 2025, and they've matured considerably.
Zapier Agents let you describe an agent in plain English, give it tools (any of those 6,000 integrations), and deploy it. It's the most accessible option, and Zapier's agent can pull from your connected apps as knowledge. The limitation is control — you're working within Zapier's abstractions.
Make AI Agents follow the same pattern but slot into the visual scenario builder, so you can mix deterministic steps with agent steps in one flow. Better for hybrid workflows where you want an LLM to handle one fuzzy decision but keep the rest predictable.
n8n has the deepest AI story. Its AI Agent node is built on LangChain, supports multiple model providers, custom tools, memory backends (including vector stores for RAG), and you can drop into code whenever the abstractions get in the way. If you're building anything that resembles a real AI pipeline, this is the one. The cost is complexity — there's more to configure and more ways to get it wrong.
Self-hosting and data control
Only n8n offers this meaningfully. You can run it in Docker on a $6/month VPS, keep every payload on your own infrastructure, and never send customer data to a third party.
Zapier and Make are cloud-only. Both are SOC 2 compliant and offer GDPR data processing agreements, which is fine for most small businesses — but if you're in healthcare, legal, or handling regulated data, "fine for most" isn't the bar you're measured against.
Pricing model — and why it matters more than the sticker price
Here's the thing that trips people up: these three tools count work differently.
- Zapier counts tasks. Every successful action after the trigger is one task. A Zap that creates a contact, adds a tag, and sends an email burns 3 tasks per run.
- Make counts operations. Every module execution is one operation. Similar concept, but iterators can multiply quickly — looping over 50 rows means 50+ operations.
- n8n counts executions. One workflow run = one execution, no matter how many nodes fire. A 40-node workflow costs the same as a 2-node workflow.
That last difference is enormous. If you're running a workflow with 15 steps, Zapier charges you 15 tasks per run; n8n charges you one execution. At 10,000 runs a month, that's 150,000 Zapier tasks versus 10,000 n8n executions. The pricing tables below make this concrete.
Pricing comparison
Prices as of early 2026. All three change their tiers regularly, so verify on the vendor's site before committing.
| Plan tier | Zapier | Make | n8n |
|---|---|---|---|
| Free | 100 tasks/mo, single-step Zaps | 1,000 ops/mo, 15-min min. interval | Self-hosted only (unlimited runs) |
| Entry paid | Professional: ~$20/mo annual, 750 tasks | Core: ~$9/mo annual, 10,000 ops | Starter: ~$24/mo, 2,500 executions |
| Mid tier | Professional: ~$50/mo annual, 2,000 tasks | Pro: ~$16/mo annual, 10,000 ops + advanced features | Pro: ~$60/mo, 10,000 executions |
| Team | Team: ~$70–$100/mo, 2,000+ tasks, shared workspace | Teams: ~$29/mo annual, 10,000 ops, shared | Pro supports multiple users; Enterprise for SSO |
| Enterprise | Custom pricing | Custom pricing | Custom pricing |
| Self-hosted option | No | No | Yes — free, unlimited executions |
The headline: Make's Core plan gives you 10,000 operations for $9/month. Zapier's Professional plan gives you 750 tasks for roughly $20/month. That's not a small gap. It's a 13x difference in included volume for less than half the price. Zapier earns that premium through integration breadth and polish — but you should know you're paying it.
n8n's self-hosted tier is the cheapest of all if you're technical: a $6/month VPS runs thousands of executions a day with no per-execution cost at all. The hidden cost is your time — setup, backups, and updates are on you.
Head-to-head feature comparison
| Feature | Zapier | Make | n8n |
|---|---|---|---|
| App integrations | 6,000+ | ~2,000 | 400+ native, 1,000+ community |
| Visual builder | Linear chains + Paths | Flowchart with routers | Flowchart + code nodes |
| Branching depth | Limited |
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