Here is a detailed Make vs. Zapier vs.n8n comparison to discover which workflow automation tool fits your budget, technical skill, and more.

It's a big debate on Reddit: Make vs. Zapier vs. n8n - hundreds of threads, thousands of opinions.
But which platform should you really choose in 2026?
Let's compare them side-by-side to see.
| Feature | Zapier | Make.com | n8n |
|---|---|---|---|
Philosophy | "It just works" | Visual logic & data flow | Developer power & control |
Ease of Use | Very High (No-code) | Moderate (Visual canvas) | Moderate-High (Technical) |
Integrations | 8,000+ | 2,000+ | 400+ built-in & almost anything via API |
Pricing Unit | Per Task (Action) | Per Operation (Module) | Per Execution (Full Run) |
Self-Hosting | No (Cloud-only) | No (Cloud-only) | Yes (Free & Unlimited) |
AI Focus | Built-in Agents/Chat | Visual AI Canvas | LangChain & Vector DBs |

Zapier remains the accessibility leader in 2026. If you need to connect two obscure SaaS tools in under five minutes, Zapier is unbeatable. Its primary strength lies in its massive ecosystem and its "set it and forget it" managed infrastructure.
With a library of over 8,000+ integrations, it is the only platform that guarantees connectivity for virtually every niche app on the market. This allows you to build AI agents that "watch" your docs and spreadsheets to learn your business logic, executing actions across your tech stack via simple conversation.

Make (formerly Integromat) occupies the sweet spot between Zapier's simplicity and n8n's technical depth. Its flowchart-style interface allows you to see exactly how data transforms as it moves through your "Scenario."
Make bridges the gap between simple triggers and technical depth with a beautiful, flowchart-style interface. Unlike linear lists, Make uses a canvas that lets you build and see complex branching, filtering, and error-handling paths in real-time.

n8n is the disruptor in the space with 3000+ enterprises. By offering a fair-code license, it allows you to self-host the entire platform on your own servers. In 2026, it has become the gold standard for teams building AI-native workflows and those requiring total data sovereignty.
While Zapier charges for every single step, n8n Cloud charges per workflow run. If you self-host, your cost is $0 regardless of how many millions of tasks you run. It leads the pack with native LangChain integration, allowing you to build multi-agent systems, connect vector databases, and run local LLMs (via Ollama) directly.
Understanding how Zapier, Make, and n8n count "work" is critical for long-term scalability. While a tool might look cheap at 100 runs per month, the math changes drastically when you hit 10,000.
A "task" is counted every time a single action is successfully completed. If your workflow (a "Zap") triggers once and performs 5 actions (e.g., searches a CRM, filters a lead, updates a row, sends a Slack, and creates a calendar event), that is 5 tasks.
Functional-wise, this is almost identical to Zapier's "tasks," but with a major caveat: every module execution counts. If your visual flow branches into three different paths, but only one path is taken, you are only charged for the active path.
An "execution" is one full run of a workflow from start to finish, regardless of how many steps are inside. You could have a 2-node workflow or a 200-node AI-powered agent; if it runs once, it counts as one execution.
For high-volume data processing (like syncing thousands of CRM records or daily database cleanups), n8n is often 10x to 50x cheaper than Zapier. Many companies use Zapier for simple "one-off" triggers but migrate their heavy-lifting, multi-step logic to n8n workflow to save thousands in annual overhead.
Zapier and Make are purely cloud-based (SaaS) platforms.
This means that every time a workflow runs, your data—whether it's customer emails, financial records, or proprietary AI prompts—must travel to and be processed on their servers.
n8n is the primary choice for teams that treat data sovereignty as a non-negotiable requirement. Because n8n allows for self-hosting via Docker or on-premise servers, the entire automation engine sits behind your company firewall.
Zapier and Make offer a "security-as-a-service" model where they shoulder the burden of updates and protection, making them perfect for 90% of business use cases.
However, n8n provides the remaining 10%—the high-security, highly regulated, and AI-sensitive industries—with a way to automate at scale without ever compromising the "air gap" between their data and the outside world.
Choosing the right platform in 2026 is no longer about finding the tool with the most features, as all three leaders now offer robust AI capabilities and deep integration libraries. Instead, the decision should be driven by your volume economics and technical resources.
By aligning your automation tool with your specific growth trajectory, you ensure that your technology stack remains an asset rather than a growing liability.
Contact Us to discuss your automation strategy and find the perfect fit for your business.
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Divyesh leads Flowlyn with 12+ years of experience designing AI-driven automation systems for global teams.