n8n vs Make vs Zapier: The Honest 2026 Comparison
Zapier wins on ease and integration count but costs 10x more. Make is the best middle ground for non-technical teams. n8n self-hosted at ₹400/month is the right answer for technical Indian founders — especially for AI workflows. Includes a step-by-step Zapier→n8n migration playbook that saves ₹40K/year.
If you've spent any time researching workflow automation in 2026, you've seen three names everywhere: n8n, Make, and Zapier. Every founder swears by a different one. Every YouTube video is sponsored by one of them. The "comparisons" online are mostly thinly-veiled affiliate spam.
This is the honest version. We've used all three in real production at Phoenix and across 20+ client builds in the last 18 months. Here's the verdict, with real numbers — and a clear answer for which one you should pick.
The TL;DR before we dive in
- Zapier — best for non-technical solo founders with simple needs and a real budget.
- Make — best for non-technical small teams who need real workflow logic without learning to code.
- n8n — best for technical founders or teams who want the most power for the least money, especially in India.
For most readers of this blog (Indian founders, technical or semi-technical), the answer is n8n self-hosted. Here's why.
The 5-axis comparison
1. Pricing (2026, India)
This is where the gap is widest.
- Zapier: Free tier = 100 tasks/month, useless for real work. Starter $19.99/month (~₹1,700) = 750 tasks. Professional $49/month (~₹4,200) = 2K tasks. Team $69/month (~₹5,800) = 50K tasks. Hidden cost: "tasks" rack up faster than you think — every step of every workflow = 1 task.
- Make: Free tier = 1K ops/month (10x Zapier free). Core $9/month (~₹770) = 10K ops. Pro $16/month = 10K ops + advanced features. Teams $29/month = 10K ops + collaboration. Massive advantage: Make charges per "operation" (cheaper than Zapier tasks) and offers 10x more on the free tier.
- n8n: Free if self-hosted. Self-hosted on Hetzner = ₹400/month for a small VPS that handles 10K+ executions/day. Cloud version starts at €20/month (~₹1,800) for 5K executions. If you can run a VPS, n8n is essentially free.
Real cost math for 10K workflow runs/month
Zapier Professional: ~₹4,200/month. Make Pro: ~₹1,400/month. n8n self-hosted: ~₹400/month. The gap is 10x between Zapier and n8n at this scale, and it grows from there.
2. Ease of use
- Zapier: Genuinely the easiest. Linear "Trigger → Action" flow. Designed so a non-technical founder can set up a 2-step automation in 5 minutes. Weakness: branching, loops, and complex logic are awkward — you hit a ceiling fast.
- Make: Slightly steeper learning curve (visual node-graph instead of linear flow), but you can build genuinely complex workflows. The sweet spot — more powerful than Zapier, more approachable than n8n.
- n8n: Visual node editor like Make, but with developer features (JSON manipulation, code nodes, complex branching). Steepest learning curve, but once you're past the first week, you can build literally anything.
3. Integration coverage
- Zapier: 6,000+ apps. Largest catalog. The reason people pay 10x. If you need to connect to an obscure SaaS tool, Zapier probably has it.
- Make: 1,800+ apps. Solid mainstream coverage (Google, Microsoft, all major CRMs, e-commerce platforms). Misses some niche India-specific tools.
- n8n: 400+ native integrations + a universal HTTP/Webhook node that connects to ANY API in the world. Real talk: 90% of "Zapier has 6,000 apps" is irrelevant for most businesses. You probably use 10-15 tools. All three platforms cover them.
4. AI capabilities (the 2026 dealbreaker)
- Zapier: "Zapier AI" exists but is limited to OpenAI integration and basic prompting. Decent for simple "rewrite this email with GPT" workflows. Lacks fine control over prompts, models, and chains.
- Make: Strong AI module with multi-model support (OpenAI, Anthropic, Google). Native nodes for both Chat and Image generation. Good for production AI workflows.
- n8n: The clear winner for AI. Native LangChain integration, AI Agents node (released 2024), vector store nodes, multi-LLM support (Claude, GPT, Gemini, local Ollama). You can build a full RAG chatbot inside n8n with no external code.
5. Reliability + speed
- Zapier: Rock-solid uptime, ~5-15 minute latency on free/starter, near-real-time on paid tiers. Best-in-class error handling and retry logic.
- Make: Solid uptime, near-real-time. Error handling is good but slightly less polished than Zapier.
- n8n: Self-hosted uptime depends on your VPS (Hetzner runs at 99.95% in our experience). Real-time execution. Error handling requires manual setup but is highly customizable.
The honest decision matrix
Choose Zapier if:
- You're a non-technical solo founder.
- You have under 1,000 automation runs/month.
- You're willing to pay 10x for ease.
- You need an obscure SaaS integration only Zapier has.
Choose Make if:
- You're non-technical or semi-technical, with a small team.
- You need real branching logic and complex workflows.
- You want to handle 10K-50K runs/month affordably.
- You want a clean UI you can hand off to a colleague.
Choose n8n if:
- You're technical, or have a developer on the team.
- You're scaling past 10K runs/month and want predictable costs.
- You're building AI-native workflows (this is the killer use case).
- You want to own your automation infrastructure end-to-end.
What we actually use at Phoenix
For full transparency, here's the actual stack we run:
- n8n self-hosted on a ₹400/month Hetzner CX11 VPS. Runs 8-12K executions/month across all our agency workflows and client builds. Hosts the AI triage for our chatbot, the lead-routing system, the LinkedIn outbound sequencer, and content publishing pipelines.
- Make for 2 clients who wanted to maintain their own automations after handoff. Easier for non-devs to learn.
- Zapier: zero. We don't use it. Last engagement we inherited a Zapier setup, audited it, and migrated everything to n8n in a week. Saved that client ₹40K/year.
The "we don't use Zapier" claim isn't a flex
It's a math problem. At our volume, Zapier would cost ₹15-25K/month vs ₹400/month for n8n. We'd rather invest that ₹15K elsewhere — or pass the savings to clients.
The migration path nobody tells you about
If you're already on Zapier and your bill is creeping up, here's the migration playbook:
Step 1: Audit your Zaps (1 hour)
List every Zap. Identify the 5-10 that actually run >100x/month. Those are your migration targets. The rest? Probably worth turning off entirely.
Step 2: Spin up n8n on Hetzner (1 hour)
Hetzner CX11 = €4.51/month (~₹400). Install n8n via Docker. Total setup time including DNS = under an hour. Official Docker guide.
Step 3: Rebuild your top 5 Zaps in n8n (4-8 hours)
The visual model is similar enough that translation is fast. Use the universal HTTP node when n8n doesn't have a native integration.
Step 4: Run both in parallel for 1 week (zero downtime)
Verify outputs match. Tune error handling.
Step 5: Kill Zapier subscription
Cancel before the next billing cycle. Done.
Total time: 6-10 hours over 2 weekends. Total savings: ₹40K+/year for a typical small business.
The 3 mistakes founders make picking automation tools
- Choosing Zapier because they saw an ad. Zapier's marketing budget is enormous. You're paying for that. Make and n8n have similar quality at fraction of the cost.
- Picking n8n when they don't have a technical team. n8n is powerful but unforgiving. If you're solo non-technical, start with Make.
- Not auditing existing automations. Most teams have 30+ "automations" that never run or that nobody remembers. Kill the dead weight before migrating.
FAQ — quick hits
Q: Is n8n self-hosting really "free"?
A: The software is free (Sustainable Use License). You pay for the server (~₹400/month) and your time setting it up (1-2 hours total).
Q: What about Power Automate (Microsoft)?
A: Excellent if you're an enterprise on Office 365. Pricing is included with most enterprise Microsoft licenses. Outside that ecosystem, it's a worse fit than the three above.
Q: What about Pipedream, Workato, Tray.io?
A: Pipedream is great for developers who want code-first workflows. Workato and Tray are enterprise-only (think ₹10L+/year). Most SMBs don't need them.
Q: Can I use Make + n8n together?
A: Yes. We do this — Make for client-maintained workflows, n8n for our agency. They talk to each other via webhooks.
Want this set up for you?
Phoenix AI Agent runs a "Automation Sprint" engagement: ₹45K-1.5L one-time, 7-14 days, where we audit your current ops, design 3-5 high-leverage workflows, deploy them on n8n (or Make if you prefer), and hand off documentation. After that, infrastructure cost = ₹400-1,000/month forever.
Want this built for you?
Free 30-min audit. We tell you exactly what to do — even if you don't hire us.
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