Automation is the highest-leverage investment most businesses can make. Build the right workflow once and it runs forever. The question is which platform builds it best — Zapier, Make, or n8n.
They're all trying to solve the same problem: connecting apps and automating repetitive work without code. But they serve very different users.
The Short Answer
- Best for beginners and small teams: Zapier
- Best for complex workflows on a budget: Make
- Best for developers who want full control: n8n
Zapier — The Market Leader
Zapier supports 6,000+ app integrations — more than any competitor. Its linear "if this, then that" workflow (Zaps) is the most accessible automation format for non-technical users. The new AI-powered Zap builder lets you describe a workflow in plain English and builds it for you.
The limitation is the pricing model. Zapier charges by task volume, and costs escalate quickly as your workflows grow. A team running moderate automation can easily reach $100–$200/month.
Pricing: Free (100 tasks/month, 5 Zaps). Starter at $29.99/month (750 tasks). Professional at $73.50/month (2,000 tasks). Higher tiers available.
Best for: Non-technical users, small businesses, teams that need quick setup without engineering support and are willing to pay for convenience.
Weakness: Expensive at scale. Linear workflow structure limits complex logic. Task-based pricing can surprise you.
Make — The Power User's Choice
Make (formerly Integromat) uses a visual canvas where you connect modules in any direction — including branches, filters, routers, and loops. This enables significantly more complex logic than Zapier's linear approach. It supports 1,500+ integrations and charges by operations (a fraction of a "task"), making it dramatically cheaper at scale.
The trade-off is a steeper learning curve. Make's interface rewards users who think in systems. It takes a few hours to get comfortable, but once you do, you can build workflows Zapier simply can't.
Pricing: Free (1,000 operations/month). Core at $9/month (10,000 ops). Pro at $16/month (10,000 ops + advanced features). Teams at $29/month.
Best for: Power users, small technical teams, and businesses who've hit Zapier's pricing ceiling and need more complex logic.
Weakness: Steeper learning curve. Fewer integrations than Zapier. Can be overwhelming for simple use cases.
n8n — The Developer's Choice
n8n is open-source and self-hostable — meaning you can run it on your own server with no usage limits and no per-task pricing. For developers comfortable with self-hosting, this makes it essentially free at any scale. It supports 400+ native integrations plus HTTP requests and JavaScript/Python code nodes for anything custom.
The cloud version is available if you don't want to manage infrastructure. n8n also has the best AI agent capabilities of the three — you can build LLM-powered workflows that read, reason, and decide before acting.
Pricing: Free to self-host (server costs only). Cloud Starter at $24/month. Pro at $60/month.
Best for: Developers, technical teams, businesses with high workflow volume, and anyone building AI-powered automation.
Weakness: Requires technical setup to self-host. Smaller integration library than Zapier. Cloud version is more expensive than Make.
Side-by-Side Comparison
| Feature | Zapier | Make | n8n |
|---|---|---|---|
| Integrations | 6,000+ | 1,500+ | 400+ native |
| Ease of use | ✓ Easiest | Moderate | Technical |
| Complex logic | Limited | ✓ Strong | ✓ Strongest |
| Self-host option | — | — | ✓ Yes (free) |
| AI automation | Good | Good | ✓ Best |
| Free tier | 100 tasks/mo | 1,000 ops/mo | Unlimited (self-host) |
| Cheapest paid plan | $29.99/mo | $9/mo | $24/mo (cloud) |
Verdict
Start with Zapier if you're new to automation — the setup speed and app coverage are unmatched. Migrate to Make when Zapier's pricing becomes a problem or your workflows need branching logic. Move to n8n when you have a developer on the team, need AI-powered workflows, or want to escape usage-based pricing entirely.
Many mature businesses run all three: Zapier for quick one-off automations, Make for customer-facing processes, and n8n for complex internal workflows and AI agents.