n8n vs Make.com in 2026: Open-Source Control vs Visual Simplicity
Side-by-side breakdown of n8n (self-hosted, developer-friendly workflow automation) and Make.com (cloud-first visual scenarios) — pricing, integrations, AI features, self-hosting, and who wins for your use case in 2026.
- Updated 2026-06-07
Quick Answer #
n8n wins for developers who want self-hosted control, custom code inside workflows, and AI-native integrations. Make.com wins for non-developers and small teams who need a polished visual builder with a massive library of ready-made app connectors and the lowest possible setup cost.
Choose n8n if: You are technical, want data to stay on your own server, need JavaScript execution inside nodes, or are building LLM-powered automations with real agent patterns.
Choose Make.com if: You are a non-developer or small business owner who wants drag-and-drop scenario building, a large pre-built connector library, and a managed cloud that requires zero server setup.
Side-by-Side Comparison #
| Dimension | n8n | Make.com |
|---|---|---|
| License | Fair-code (self-host free) | Proprietary SaaS |
| Self-hosting | Yes — Docker, VPS, or cloud | No — cloud-only |
| Free tier | Yes (self-hosted, unlimited) | 1,000 ops/month |
| Paid cloud from | $20/month | $9/month |
| Native integrations | 400+ | 1,000+ |
| Custom code inside nodes | Yes — JavaScript | No |
| AI / LLM nodes | LangChain, OpenAI, Anthropic | HTTP module + some AI modules |
| Visual editor | Node canvas (technical) | Scenario builder (visual) |
| Best for | Developers and technical teams | Non-developers, SMBs |
When to Choose n8n #
Use case 1: Data privacy and self-hosting #
If your workflows touch customer data, financial records, or any information you cannot send to a third-party SaaS, n8n is the only real option here. Deploy it on your own VPS (a $6/month server handles most workloads), and every data point stays in your infrastructure. Make.com cannot offer this — all execution happens on their cloud.
Use case 2: Developers who want to write real code #
n8n lets you drop a JavaScript node anywhere in a workflow and write actual code — transform data, call internal APIs, run complex logic that would take ten steps to approximate visually. This is a fundamental architectural difference. Make.com is built around pre-configured modules; if the module does not do what you need, you are working around it.
Use case 3: Building AI and LLM automations #
n8n ships first-class LangChain integration. You can chain LLM calls, attach memory, use retrieval, and orchestrate multi-step AI pipelines inside a workflow — not just fire one OpenAI call and move on. For teams building the kind of AI automation described in the AI Agent Tool Chain, n8n is the automation layer that speaks the same language.
When to Choose Make.com #
Use case 1: Non-developers who want to move fast #
Make.com’s scenario builder is genuinely beautiful. You drag app icons onto a canvas, connect them with arrows, and the interface shows you exactly which data flows where in real time. For a marketing manager or an operations lead who has never touched code, Make.com is the fastest path from “I need to automate this” to “it is running.”
Use case 2: Large pre-built connector library #
With 1,000+ app connectors, Make.com has the larger out-of-the-box library. Popular tools — Google Sheets, Slack, Salesforce, Shopify, Stripe, HubSpot — have polished, tested modules with structured field pickers. For common business-to-business integrations that involve well-known SaaS apps, Make.com often means zero custom configuration.
Use case 3: Low-volume automations on a budget #
Make.com’s Core plan at $9/month for 10,000 operations is cheaper than n8n’s managed cloud for low-volume use. If you are running a few hundred automations per day and do not want to manage a server, Make.com’s managed cloud beats paying for both n8n cloud and a VPS.
Pricing Deep Dive #
n8n #
| Plan | Price | What you get |
|---|---|---|
| Self-hosted | Free | Unlimited executions, full features, you run the server |
| Starter (cloud) | $20/month | Managed n8n, up to 2,500 executions/month |
| Pro (cloud) | $50/month | 10,000+ executions, more environments |
| Enterprise | Custom | SSO, dedicated infra, SLA |
The critical insight: self-hosted n8n is free forever. For a team comfortable with Docker, the total cost is a $6–12/month VPS. At any meaningful automation volume, self-hosted n8n is dramatically cheaper than any managed alternative.
Make.com #
| Plan | Price | Operations/month |
|---|---|---|
| Free | $0 | 1,000 |
| Core | $9 | 10,000 |
| Pro | $16 | 100,000 |
| Teams | $29 | 100,000 + collaboration features |
| Enterprise | Custom | Unlimited |
Make.com’s pricing is operations-based — each action in a scenario consumes operations. Complex multi-step scenarios burn through the quota faster than simple two-step flows.
AI Features Compared #
Both tools can integrate with LLMs, but the depth is very different.
n8n’s AI approach: n8n ships a dedicated AI Agent node with LangChain under the hood. You can attach vector-store memory, connect retrieval chains, and orchestrate multi-step reasoning. It is genuinely AI-native, not an afterthought. See our breakdown of LangGraph stateful agent orchestration for how these patterns compose.
Make.com’s AI approach: Make.com has some pre-built AI modules (OpenAI text generation, image analysis) and can call any LLM API via its generic HTTP module. It works for simple “send prompt, get text, write to sheet” automations but does not support chaining, memory, or retrieval patterns out of the box.
Verdict: For any automation where the AI step is more than a single LLM call, n8n is the right choice.
Integration Depth vs Breadth #
Make.com wins on breadth — 1,000+ polished connectors, many with structured field pickers and pre-tested auth flows. n8n wins on depth — 400+ nodes, each more configurable, plus the ability to write JavaScript when no node exists.
In practice, both tools reach the same destinations via their HTTP/webhook nodes. The difference is how much configuration you do manually:
- Make.com: Open the Slack module, select your action, pick fields — done.
- n8n: If the Slack node exists (it does), same experience. If it does not, write three lines of JavaScript to call the API directly.
For teams that live in standard SaaS tools (CRMs, spreadsheets, email), Make.com’s connector polish is real. For teams with internal APIs or unusual systems, n8n’s flexibility closes every gap.
Can You Use Both? #
Some teams use Make.com for simple cross-app automations handled by non-technical team members, and n8n for the technical, AI-heavy pipelines maintained by developers. This is a valid split — they are not rivals at the infrastructure level, and running both is not unreasonable if the cost is justified. That said, most teams pick one and standardize to avoid context-switching.
dibi8’s Take #
n8n is the pick if you care about data ownership, want to write code inside workflows, or are building AI automation pipelines. For technical teams or any project that touches sensitive data, the self-hosted free tier alone makes the decision easy.
Make.com is the pick if you need non-developers running automations on their own, want the fastest time-to-first-workflow, or are connecting only popular SaaS apps and would rather pay $9/month than manage a server.
The honest framing: Make.com is faster to start, n8n is faster at scale — both in speed and in cost.
Further Reading #
- AI Agent Tool Chain — How Automation Fits the Stack
- LangGraph Stateful Agent Orchestration 2026
- Claude Agent SDK vs OpenAI Agents SDK
- Cheap LLM Stack Under $20/month
- Cross-Border AI Marketing Stack
External references: n8n · n8n on GitHub · n8n docs · Make.com
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