Make.com and n8n look similar on the surface. Both are visual workflow builders. Both connect hundreds of apps. Both promise to replace expensive Zapier bills. But they serve different buyers, and picking the wrong one costs you either unnecessary infrastructure headaches or unnecessary SaaS spend.
I run both platforms and have studied how B2B teams use each one across dozens of real deployments. This is not a theoretical comparison — it is the decision framework built from hands-on experience with both, including dealing with outages and understanding exactly where each one breaks down.
Short version: n8n wins when you need self-hosting, data sovereignty, unlimited execution volume, or serious AI agent workflows. Make.com wins when you want managed SaaS, a friendlier editor, and zero ops overhead.
Hosting Model: The Fundamental Split
Start here. The hosting model determines pricing, compliance posture, AI capabilities, and operational burden. Everything else flows from this decision.
Make.com is SaaS-only. You use their cloud. They run the servers, handle uptime, manage the infrastructure. Your data lives in their systems. You cannot self-host Make.com under any circumstance.
n8n is open-source and self-hostable. You can run it on your own server (Docker, Kubernetes, AWS, any VPS) under the Sustainable Use License. Your data never leaves your infrastructure. n8n also offers n8n Cloud if you prefer managed hosting, but the self-hosted path is where n8n gets interesting.
A $24/month Hetzner VPS running self-hosted n8n can handle around 400,000 executions per month with headroom to spare. The trade-off is that you own the uptime. When the server goes down at 2am, there is no support ticket to file. You SSH in, check the Docker logs, and restart the container yourself. That is the deal you are making — and it is worth being honest about before committing to self-hosting.
Pricing: Wildly Different Economics
Make.com bills per operation. n8n (self-hosted) bills per server. This changes the math at scale.
| Monthly volume | Make.com (Core / Pro) | n8n Cloud (Starter) | n8n Self-Hosted |
|---|---|---|---|
| 10,000 operations | ~$10.59/mo (Free tier covers this) | ~$24/mo | ~$6-10/mo VPS |
| 100,000 operations | ~$18.82/mo (Core) | ~$60/mo | ~$20/mo VPS |
| 500,000 operations | ~$34.12/mo (Core) or $57.88/mo (Pro) | ~$120/mo | ~$24/mo VPS |
| 1,000,000 operations | ~$182/mo+ (Pro) | ~$200/mo+ | ~$40/mo VPS |
| 10,000,000 operations | Custom / Enterprise | Enterprise pricing | ~$80/mo VPS |
Make.com's 2026 pricing tiers: The Free plan gives you 1,000 ops/month and 2 active scenarios. Core starts at $10.59/month (annual) for 10,000 ops. Pro starts at $18.82/month (annual) for 10,000 ops with priority execution and full-text log search. Teams and Enterprise tiers exist for larger organizations that need shared workspaces and custom roles.
At low volumes (under 50K ops/month), Make.com is the better economic choice because the server maintenance cost is not worth the savings. At high volumes, n8n self-hosted becomes almost free on a per-operation basis. A $40/month VPS can push millions of workflows through n8n if the logic is not CPU-bound.
One thing most comparisons miss: n8n Cloud is often more expensive than Make.com at the same volume. The cost advantage only kicks in with self-hosting. If you plan to use n8n Cloud because you do not want to manage servers, compare its pricing directly against Make.com's Pro tier before deciding.
Data Sovereignty and Compliance
If any of these terms apply to your business, pay attention: GDPR, HIPAA, SOC 2 Type II, PCI-DSS, regulated industry, EU data residency, healthcare PHI, financial compliance.
Make.com is SOC 2 Type II compliant and handles GDPR well, but your data still transits their cloud in the United States or EU. Some compliance frameworks will not allow that regardless of certifications, particularly healthcare, government, and European financial services.
n8n self-hosted solves this completely. Your workflows run on infrastructure you own, in the region you choose, under data agreements you control. Companies with strict security requirements — particularly healthcare, government, and European financial services — often cannot use Make.com at all because their data cannot transit an external cloud. n8n deployed inside a private AWS VPC or on-prem infrastructure is frequently the only compliant option.
For regulated industries, n8n self-hosted is often the only viable option and wins by default.
UX and Learning Curve: Is n8n Harder to Use Than Make.com?
Yes. n8n is harder to learn. But it is faster to build with once you know it.
Make.com's visual canvas, module configuration panels, data inspector, and error messages are all more polished than n8n's equivalents. A non-technical ops person handed a Make.com scenario can usually modify it within a day. An n8n workflow handed off to the same person typically requires a proper training session.
n8n's interface is built for developers. It expects you to:
- Understand JSON data structures and write JavaScript expressions (
{{ $json.items[0].email }}). - Handle edge cases through Code or Function nodes.
- Configure webhooks at the infrastructure level if self-hosting.
- Read documentation written for engineers, not marketers.
For a non-technical operator, Make.com will feel twice as fast to learn. For a developer, n8n will feel twice as fast to build with after the first week. This pattern is consistent across the community — you can verify it in any n8n or Make.com subreddit thread comparing the two.
Integrations: A Near Tie
Make.com has roughly 2,000 native integrations. n8n has 1,000+ integrations plus a strong HTTP/Webhook primitive and custom node support. Both fall short of Zapier's 7,000+, but for common B2B tools (Slack, HubSpot, Google Workspace, Airtable, Stripe), both platforms have first-class connectors.
Where n8n pulls ahead: custom nodes. You can write your own n8n node in TypeScript and ship it as an npm package. For companies building internal automations against proprietary APIs, this is a big deal. Your custom integration becomes a reusable, versioned module that any team member can drag into a workflow.
Where Make.com pulls ahead: integration quality consistency. Make's modules are centrally maintained and uniformly polished. n8n's community nodes vary in quality. Some are excellent. Others have not been updated in months and break on API changes.
Which Is Better for AI Workflows: n8n or Make.com?
n8n, and it is not close for agent-style workflows.
n8n has gone all-in on AI agents. The platform now has native LangChain integration, purpose-built AI Agent nodes with tool-use support, vector store nodes (Pinecone, Qdrant, Postgres pgvector), memory modules, and a clean abstraction for multi-step reasoning. If you are building an autonomous AI agent that researches leads, reasons about data, calls tools, and updates systems, n8n is the better architecture today.
n8n's Code node is the killer feature here. You can write arbitrary JavaScript or Python mid-workflow, which is impossible in Make.com without an external function call. A lead qualification agent in n8n can pull from three data sources, score prospects against custom criteria using an inline Python script, and route them to different CRM pipelines — all within one workflow. Doing the same in Make.com requires an external AWS Lambda function, an extra API call per execution, and significantly more debugging.
Make.com treats AI as another integration. OpenAI, Claude, and Google Gemini all exist as modules, and they work well for single-turn prompts. But there is no native concept of "agent with memory and tools." You build that pattern yourself using data stores, routers, and iterators. It is possible and I do it regularly, but it takes more modules and more careful wiring than n8n's purpose-built agent nodes.
The rule: for AI-heavy workflows, especially agent patterns, n8n is the structurally better choice. For workflows where AI is one step among many (e.g., summarize this email, then route it), Make.com handles it fine.
Error Handling and Reliability
Make.com has better error handling defaults. You get per-module error routes, automatic retries, and clean fallback paths without extra configuration. When a module fails, the error message usually tells you what went wrong in plain language.
n8n's error handling is more powerful but requires more setup. You configure error workflows that trigger on failure, write manual retry logic, and handle exceptions in Code nodes. The upside is more control. The downside is that a new n8n workflow with no error handling will fail silently and leave you guessing at 2am.
For production workflows where reliability matters, both can be made rock-solid. But Make.com produces more resilient workflows with less engineering time, especially when the person building is not a developer.
Developer Experience and Version Control
n8n wins cleanly here. Workflows export as JSON files. You can commit them to Git, diff changes across versions, run code reviews on automation logic, and deploy through CI/CD pipelines. For engineering teams with mature DevOps practices, this is a major advantage.
Make.com stores scenarios in its own proprietary format. You can export blueprints as JSON, but the format is harder to read and not designed for version control. If your team wants to treat automations the same way they treat application code (branching, pull requests, staging environments), n8n is the clear winner.
n8n workflows can be committed to a private Git repository. Changes can be branched, modified, tested, and merged. With Make.com, the built-in scenario versioning works but lacks the granularity of a proper Git workflow — you cannot diff two versions meaningfully or deploy through CI/CD.
Team Management and Governance
Make.com has better out-of-the-box team features: shared folders, role-based permissions, workspace isolation, and activity logs. For anyone managing multiple client workspaces, Make.com is cleaner — the workspace isolation means each client's credentials and data stay fully separated, which is harder to achieve in self-hosted n8n without additional configuration.
n8n's user management exists but feels more basic, especially on self-hosted deployments where you are responsible for authentication integration (LDAP, SAML, or SSO with enterprise identity providers). n8n Cloud has improved here, but it still trails Make.com on governance features.
For a single engineering team building internal automation, n8n is fine. For a multi-client agency or a company with strict access controls, Make.com saves you the work of configuring auth yourself.
When to Choose Each (Our Real Playbook)
Choose n8n if:
- You need self-hosting for compliance, sovereignty, or security.
- Your workflow volume is high enough that per-operation billing hurts (500K+ ops/month is the typical crossover).
- You are building advanced AI agent workflows with memory, tools, and reasoning loops.
- You have in-house engineering capacity to own server maintenance (or an agency retainer to cover it).
- You want to version-control automations in Git and deploy through CI/CD.
- You need to write custom integration nodes against proprietary APIs.
Choose Make.com if:
- You want zero infrastructure management.
- Your builder is non-technical or semi-technical.
- Workflow volume is moderate (under 500K ops/month).
- You need cleaner error handling out of the box.
- You prefer predictable SaaS billing to variable server costs.
- Your AI usage is "LLM as a step" rather than "AI agent with memory."
| Criteria | Winner | Why |
|---|---|---|
| Self-hosting / data sovereignty | n8n | Make.com cannot be self-hosted at all |
| Cost at high volume (1M+ ops) | n8n | $40/mo VPS vs. $182+/mo on Make Pro |
| AI agent workflows | n8n | Native LangChain, memory, vector stores, Code node |
| Version control / DevOps | n8n | JSON export, Git-native, CI/CD friendly |
| UX for non-developers | Make.com | Polished editor, better error messages, faster onboarding |
| Error handling defaults | Make.com | Per-module error routes and retries out of the box |
| Team governance / multi-client | Make.com | Workspaces, RBAC, shared folders built in |
| Cost at low volume (<50K ops) | Make.com | Free tier covers basics; Core plan is $10.59/mo |
| Integration count | Tie | Both cover common B2B tools; n8n has custom nodes, Make has polish |
The Hybrid Approach That Makes Sense
In practice, the strongest B2B automation architecture uses both platforms. Here is how to split them:
- Make.com for customer-facing workflows: lead intake, form processing, CRM sync, email sequencing. The SaaS model means the ops team can manage scenarios without engineering involvement.
- n8n (self-hosted) for sensitive internal automation: AI agents processing proprietary data, workflows that must stay on private infrastructure, high-volume batch jobs where per-operation billing would be painful.
A practical hybrid setup: Make.com for the inbound lead pipeline (~15,000 ops/month, well within Core plan) and self-hosted n8n for internal document processing (~200,000 executions/month on a $24 Hetzner box). Total automation platform cost: under $35/month for both combined. That same volume on Make.com alone would cost roughly $80-100/month.
This hybrid pattern plays to each platform's strengths and avoids their weaknesses. It is the architecture that makes the most sense for any team with both regulated data and non-technical operators.
Our Take
If forced to pick one platform for all B2B automation work, I would pick Make.com for the majority and n8n for the minority, because Make.com's UX advantage applies to 100% of scenarios while n8n's advantages apply to maybe 30%. But standardizing on one is almost always a mistake. The right answer for most teams is both, routed to different use cases based on compliance needs, volume, and who will maintain the workflows.
The question is not "which platform is better." It is "which platform fits this specific workflow." Once you frame it that way, the answer usually becomes obvious within five minutes.
Want an honest platform recommendation for your specific situation? Book a free audit. I will analyze your workflow requirements, compliance needs, and volume projections, then tell you exactly which platform — or combination — fits.