Make vs n8n (2026): Which Automation Tool Should You Choose?

Make is a cloud-based visual automation platform launched in 2012 (originally as Integromat), designed for non-technical users who need to connect apps and automate workflows without writing code. n8n is an open-source workflow automation tool launched in 2019 by Jan Oberhauser, built for developers who want full control — including the ability to self-host, write custom code, and build complex AI agent pipelines. Both tools compete directly in the workflow automation space alongside Zapier and ActiveCampaign, but they serve fundamentally different audiences. Make plans range from free to €24.92/month (annual billing, Teams plan), while n8n offers a free Community Edition (self-hosted) and cloud plans from €20 to €667/month.

I’ve spent time building workflows in both tools across real use cases — from simple CRM-to-Slack notifications to multi-step data enrichment pipelines. The biggest thing I wish someone had told me upfront: Make and n8n don’t just look different, they think about billing differently, and that changes everything once your automations get complex.

What Are Make and n8n — and Who Are They Built For?

Make is a cloud-based visual automation platform best for non-technical users, starting at €7.73/month (annual billing, Core plan, verified March 2026). n8n is an open-source workflow automation tool best for developers, with a free self-hosted Community Edition (unlimited executions) or cloud plans from €20/month. The key difference: Make charges per workflow step (credits), while n8n charges per workflow run (executions) — making n8n significantly cheaper for complex, multi-step automations at scale.

Make’s interface uses a circular, module-based visual canvas that most non-technical users find intuitive. You drag apps onto the canvas, connect them with lines, and configure each “module” to pass data. There are 7,900+ pre-built scenario templates and 3,000+ native app integrations. The majority of Make users I’ve spoken to had their first working automation running within a day — no prior automation experience needed.

n8n takes a different approach: its node-based flowchart editor looks more like a developer tool. Nodes connect with directional arrows, data flows through the graph, and you can inspect the exact payload at every node. The real differentiator is the Code node — available on all plans, including the free Community Edition — which lets you run JavaScript or Python with full npm library access. That alone is locked behind Make’s Enterprise tier.

One thing worth knowing upfront: n8n has 173,302 GitHub stars and a community of 40,000+ active forum members. For an automation tool that launched in 2019, that’s remarkable adoption — and it signals strong long-term viability as an open-source project. Make (formerly Integromat, rebranded in 2022) has been around longer and is owned by Celonis, which provides enterprise stability.

Feature	Make	n8n	Winner
Starting Price	Free / €7.73/mo (Core, annual)	Free (self-host) / €20/mo (Starter)	🏆 n8n (self-host)
Pricing Model	Credits per action/step	Executions per workflow run	🏆 n8n (predictable)
Ease of Use	⭐⭐⭐⭐⭐ Beginner-friendly	⭐⭐⭐ Technical users	🏆 Make
Native Integrations	3,000+	1,200+ + HTTP node (any API)	🏆 Make (breadth)
Custom Code	Enterprise only (JS)	All plans (JS + Python + npm)	🏆 n8n
Self-Hosting	❌ Cloud-only	✅ Community Edition (free)	🏆 n8n
AI Capabilities	AI Agents (beta), AI Toolkit	70+ LangChain nodes, RAG, local LLMs	🏆 n8n (depth)
Data Sovereignty	Cloud-only (SOC 2 Type II)	Full self-host (HIPAA, GDPR, PCI DSS)	🏆 n8n
Team Collaboration	Real-time collab, shared templates	Shared projects (plan-limited), Git (Business+)	🏆 Make
Open Source	❌ Proprietary	✅ GitHub 173,000+ stars	🏆 n8n
🏆 Best For	Non-technical teams needing quick automation	Developers, data-sensitive teams, AI builders	Depends on use case

Quick verdict: Choose Make if you’re non-technical and need workflows running fast. Choose n8n if you’re a developer, need self-hosting, or are building at scale. Skip both if you just need basic Zapier-level automation — there may be simpler options.

EUR prices based on 1 USD = €0.8594 (XE.com, March 2026). Make prices at annual billing. n8n prices native EUR.

How Much Does Make vs n8n Actually Cost? (EUR + USD, 2026)

Make offers five pricing tiers (including free), all cloud-hosted. n8n offers four cloud tiers plus a free self-hosted Community Edition. Both billing models look similar on the surface — but the way they count usage is completely different, and that difference can mean the gap between €14/month and €50/month for the exact same workload.

Make Pricing — All Plans (March 2026)

EUR based on 1 USD = €0.8594 (XE.com, March 2026, annual billing). Extra credits: +25% above plan rate (updated Nov 6, 2025). Custom Functions locked to Enterprise plan only.

n8n Pricing — All Plans (March 2026)

n8n prices natively in EUR. Startup discount: 50% off Business for companies under 20 employees (≈€333/mo). Cloud hosted on Azure Frankfurt (EU data residency). Overage on Business plan: €4,000 per extra 300K executions — plan carefully.

Make vs n8n Pricing: Real-World Cost Comparison

To understand what the credits vs executions difference actually means for your wallet, here’s a worked example most comparison articles skip:

Monthly Cost by Workflow Volume (10-Step Workflow)

Which Is Easier to Use: Make or n8n?

Make wins on ease of use — and it’s not particularly close for non-technical users.

Make’s Visual Canvas: Build Your First Flow in an Hour

Make’s interface uses circular modules connected by curved lines, resembling a flowchart or mind map. Each module represents an app action (like “Watch for new Gmail emails” or “Create a Trello card”), and you connect them by clicking and dragging. The visual metaphor is intuitive: data flows left to right, branches are obvious, and the entire scenario fits on one screen for most automations.

What surprised me during testing was how fast the setup goes. I connected HubSpot to a Google Sheet to Slack in about 25 minutes, including configuring the filters. For someone who’s never automated anything, Make has genuinely cracked the UX problem that most automation tools struggle with.

The learning curve hits when workflows get complex. Once you’re managing 20+ modules with multiple routers, error handlers, and iterators, the canvas starts looking like spaghetti. Users on forums frequently describe their complex Make scenarios as “visually unmaintainable” after a certain point — a real limitation that n8n handles more cleanly through its linear node structure.

n8n’s Node-Based Editor: Powerful but Demanding

n8n looks like a developer tool because it is one. The interface uses rectangular nodes connected by directional arrows — the same pattern you’d see in tools like Node-RED or Apache Airflow. Each node has an input and output panel where you can inspect the exact JSON payload flowing through at any step.

That level of visibility is incredibly useful when debugging. When something breaks in Make, error messages can be cryptic. In n8n, I can click any node and see exactly what data came in and what went out. For developers, that’s worth the steeper learning curve.

The honest answer on learning time: expect at least a few days before you’re consistently productive with n8n. Understanding how expressions work, how to transform data with the Set node, and when to use the Split in Batches node takes time. One practitioner I came across described it as “Make for a month, then n8n forever” — which matches what I’ve heard from multiple teams who’ve made the switch.

Learning Curve Comparison

What Features Do Make and n8n Actually Have?

Integrations: Make Has More, n8n Covers the Gaps

Make offers 3,000+ native app integrations — one of the broadest libraries in the automation space. You’ll find integrations for obscure niche tools alongside the obvious giants. n8n has approximately 1,200+ native integrations, which sounds like less until you factor in the HTTP Request node: a universal connector that can reach any REST API via curl-style configuration. In practice, n8n teams rarely hit an integration wall.

Make also has 7,900+ pre-built scenario templates versus n8n’s 6,700+. For teams that want to import a workflow rather than build one from scratch, Make’s template library has a slight edge.

Custom Code and Flexibility: n8n Wins Decisively

This is probably the biggest feature gap between the two tools, and the one Make’s marketing glosses over.

n8n includes a Code node with full JavaScript and Python support — including npm library imports — on every plan, including the free Community Edition. You can pull in lodash, Axios, or any other package to handle data transformations that would require dozens of nodes otherwise.

Make’s Custom Functions feature (also JavaScript) is locked exclusively to the Enterprise plan, which starts at custom pricing. The Code App on paid plans (Core and above) does allow JS/Python scripts, but it charges 2 credits per second of execution time and has limited external library access. For any developer-forward team, this difference alone often tips the decision toward n8n.

Error Handling and Debugging

Both platforms handle errors — but differently. Make has built-in error handlers you can attach to any module, allowing you to route failed data to fallback paths or send alerts. n8n has error workflows that trigger when a workflow fails, plus the ability to inspect node inputs and outputs in real time during debugging.

For complex debugging, n8n’s approach is more powerful: you can pin data at any node to replay a specific execution step by step. Make’s execution logs are detailed too, but the node-level inspection in n8n is something most Make users miss once they’ve experienced it.

How Do Make and n8n Handle Self-Hosting and Data Privacy?

Make is cloud-only — full stop. Your workflow data flows through Make’s servers, stored on AWS infrastructure in EU regions for European customers. Make holds SOC 2 Type II certification, which covers security and availability. Enterprise customers can use an on-premise Agent for data collection, but workflow execution still happens in Make’s cloud. If that’s a dealbreaker for your industry, Make isn’t the right tool.

n8n was built with self-hosting as a core feature. The Community Edition is free to download from GitHub and deploy on any server you control. Data never leaves your infrastructure unless you want it to. For regulated industries — healthcare, finance, legal — this is often the only acceptable option. n8n cloud plans run on Azure in Frankfurt, Germany, providing EU data residency for teams who want cloud convenience without leaving the EU.

Make Pros and Cons

n8n Pros and Cons

What Do Users Actually Complain About? (The Honest Part)

Most comparison articles won’t give you this section. I tracked user sentiment across Reddit, practitioner blogs, G2 reviews, and Capterra over several months. Here’s what real users say about both tools.

Make’s Biggest Controversies

The credits-per-step model generates the most frustration. Specifically: Make’s polling triggers consume credits even when there’s nothing new to process. A “Watch Google Drive for new files” trigger set to run every 5 minutes burns 288 credits per day — nearly 8,640 credits per month — just checking a folder that might receive one file per week. On the Core plan (10,000 credits), a single idle polling trigger consumes 86% of your monthly allowance by itself.

The shift from “Operations” to “Credits” in August 2025 didn’t help. While the 1:1 base conversion was neutral, AI modules and the Code App now consume credits at variable rates tied to processing time — making AI-heavy workflow costs genuinely hard to predict before you run them.

• Polling trigger credit drain (most common complaint)
• Iterator and aggregator nodes multiplying costs unexpectedly
• Support response times on lower tiers frustrating users
• Complex scenarios becoming “unmaintainable spaghetti”
• Custom JS locked to Enterprise (developers feel locked out)

n8n’s Biggest Controversies

The most consistent complaint about n8n isn’t the learning curve — it’s unexpected account issues on the cloud platform. Several users on Reddit have reported losing cloud access without clear explanation, which is particularly damaging for teams running business-critical automations. This is a real risk with cloud n8n that self-hosting eliminates.

The Business plan’s jump from €50/month to €667/month is also routinely called out as a significant gap. There’s no tier between €50 Pro and €667 Business — if you need SSO or Git version control, you’re paying 13x more per month overnight.

• Cloud account deletion without clear reason (reported on Reddit)
• €617/month gap between Pro and Business plan
• AI agent bugs: stale inputs, schema errors in production
• Credential expiry issues (Firestore and others reported)
• Enterprise self-hosted pricing reported as steep (~€20K/year for 10 active flows)

Who Should Use Make — and Who Shouldn’t?

✅ Choose Make if you:

• Have a non-technical team that needs automation running quickly
• Need broad app coverage — especially less common SaaS tools in Make’s 3,000+ library
• Want zero infrastructure management and no DevOps overhead
• Run simple-to-moderate workflows (under 8 steps, under 500 runs/month)
• Need team collaboration features without a huge budget
• Are a marketer, ops person, or small business owner, not a developer

❌ Skip Make if you:

• Need to write custom JavaScript or Python in your automations (Enterprise pricing required)
• Process sensitive data that can’t leave your own infrastructure (HIPAA, GDPR strict compliance)
• Run high-volume, multi-step workflows where credits multiply costs rapidly
• Are building production AI agent pipelines requiring LangChain or RAG
• Have a developer on your team who’s comfortable with Docker

Who Should Use n8n — and Who Shouldn’t?

✅ Choose n8n if you:

• Are a developer or have developers on your team comfortable with JSON and data structures
• Need data sovereignty — HIPAA, GDPR, or PCI DSS requirements that mandate on-premise infrastructure
• Are building AI agent workflows using LangChain, RAG, or local LLMs
• Anticipate high automation volume where execution-based pricing saves significantly
• Want to avoid vendor lock-in and need open-source flexibility
• Need custom code access without paying Enterprise pricing

❌ Skip n8n if you:

• Have no technical resources — self-hosting n8n requires DevOps knowledge
• Need to be up and running in hours with minimal learning
• Rely heavily on obscure SaaS tools with no API (n8n’s native library is smaller)
• Need polished team collaboration for non-technical co-workers
• Won’t maintain server infrastructure — cloud n8n has reported reliability issues

If neither tool fits, it’s worth looking at automation-adjacent tools in your marketing stack that may have built-in workflow features, or considering email marketing automation platforms that handle common sequences without requiring a dedicated automation tool. For content and AI use cases, the broader AI tools landscape has grown significantly.

Make vs n8n — Our Final Verdict

After testing both tools and reviewing dozens of practitioner experiences, here’s my honest conclusion:

Make wins if you’re non-technical, time-poor, and need working automations without infrastructure overhead. The €7.73/month Core plan gets you productive fast with 3,000+ integrations and a genuinely intuitive interface. Accept the credit model as a cost of doing business, use webhook triggers instead of polling wherever you can, and Make will serve most small-to-medium automation needs very well.

n8n wins on almost every objective metric for technical users — cheaper at scale, more code flexibility, better AI workflow depth, true data sovereignty, and no vendor lock-in. The €20/month cloud Starter is a fair deal for 2,500 executions. Self-hosted is free with only server costs. For developers or compliance-sensitive teams, n8n isn’t just the better choice — it’s often the only viable one.

Make vs n8n: Frequently Asked Questions

Is n8n really free?

n8n Community Edition is free to license with unlimited executions and unlimited workflows — but you must self-host it on your own server. Infrastructure costs run approximately €5–20/month for a basic VPS on Hetzner or DigitalOcean. For teams who cannot self-host, n8n cloud plans start at €20/month (Starter, 2,500 executions, annual billing, verified March 2026). Make offers a free cloud tier with 1,000 credits/month and 2 active scenarios at no cost.

What is the difference between Make credits and n8n executions?

Make charges one credit per action step in a workflow. A 10-step workflow processing 1,000 records uses 10,000 credits — which completely fills Make’s Core and Pro plans (10,000 credits each) with just one workflow. n8n charges one execution per complete workflow run regardless of how many steps it contains. The same 10-step workflow processing 1,000 records = 1,000 executions, using 10% of n8n’s Pro plan (10,000 executions). For complex, multi-step workflows at scale, n8n’s execution model is significantly cheaper.

Which is easier to use: Make or n8n?

Make is significantly easier for non-technical users. Its visual canvas uses circular connected modules that most users understand within hours — no prior automation experience needed. n8n uses a node-based flowchart interface that requires understanding of data structures, JSON, and logic flows. Expect a learning curve of several days to weeks before you’re consistently productive with n8n. Developers typically prefer n8n once they master it. For non-technical teams, Make remains the better choice regardless of cost differences.

Can I self-host Make?

No. Make is cloud-only — all workflow execution happens on Make’s servers. Enterprise customers can install an on-premise Agent for data access purposes, but the workflows themselves still run in Make’s cloud infrastructure. If full data sovereignty is required — for HIPAA, GDPR, or PCI DSS compliance — n8n Community Edition (self-hosted) is the correct choice. n8n cloud plans run on Azure servers in Frankfurt, Germany, providing EU data residency.

Which is better for AI workflows: Make or n8n?

n8n currently leads for complex AI workflows, offering approximately 70 native LangChain nodes, retrieval-augmented generation (RAG) support, local LLM integration via Ollama (run AI on your own hardware), and dynamic prompts using expressions. You can build full multi-agent AI pipelines entirely within n8n. Make launched AI Agents in April 2025 (still in beta as of March 2026) and has an AI Toolkit for basic tasks like text extraction and categorization. As of November 2025, both platforms allow custom AI provider connections (use your own OpenAI or Anthropic API key) on all paid plans. For production AI agent pipelines, n8n has a clear current advantage.

How much does Make cost in EUR?

Make’s paid plans at annual billing cost: Core €7.73/month ($9 USD), Pro €13.75/month ($16 USD), Teams €24.92/month ($29 USD). Based on 1 USD = €0.8594, verified March 2026 via XE.com. The Free plan costs €0. Enterprise pricing is custom. n8n prices natively in EUR: Starter €20/month (2,500 executions), Pro €50/month (10,000 executions), Business €667/month (40,000 executions), all at annual billing. The Community Edition (self-hosted) has no licensing cost.

What changed with Make’s switch from Operations to Credits in 2025?

Make transitioned from “Operations” to “Credits” billing on August 27, 2025. Standard module actions convert at 1:1 (1 operation = 1 credit), so for simple workflows, nothing changed. The significant difference is for AI modules and Code App — these now consume credits at variable rates tied to processing time, file sizes, and token usage, making AI-heavy workflows harder to budget. As of November 6, 2025, extra credits cost +25% above plan rate (down from +30% for auto-purchases). As of the same date, all paid plans can use custom AI provider connections (bring your own OpenAI/Anthropic API key).

Is Make or n8n better for GDPR compliance?

n8n is the better choice for strict GDPR compliance. Self-hosted deployments keep all data within your own infrastructure — no third-party cloud involved. n8n cloud plans run on Azure Frankfurt, providing EU data residency. Make is SOC 2 Type II certified and processes EU customer data in AWS EU regions, but all workflow execution runs on Make’s infrastructure. Organizations with strict data processing requirements — healthcare, finance, legal — should choose n8n self-hosted for true data sovereignty.

Should I start with Make or n8n?

Start with Make if you’re new to automation, have a non-technical team, or need working workflows quickly without infrastructure overhead. Start with n8n if you’re a developer, need data compliance, are building AI agent workflows, or anticipate high automation volume where execution-based pricing will save money. A common pattern: teams start with Make for speed, then migrate to n8n as automation complexity and costs grow. Both decisions make sense at different stages.

Is n8n cheaper than Make at scale?

Yes, significantly — for complex multi-step workflows at scale. A 10-step workflow processing 1,000 records uses all 10,000 credits on Make Pro (€13.75/month), leaving nothing for other automations. The same workflow on n8n Pro (€50/month) uses 1,000 of 10,000 executions — 10% of your plan. Self-hosted n8n has only server infrastructure costs (€5–20/month) with unlimited executions. Make is cost-competitive only for simple, low-step workflows at moderate volume.

Related Resources on CompareAITools.org

• 📊 GetResponse vs ActiveCampaign — If you’re choosing automation for your email marketing stack
• 🎯 Best Email Marketing Automation Tools — Overview of automation options for marketers
• 💡 Best AI Writing Tools 2026 — For content automation use cases
• 📈 AI Tools Statistics — Data on AI and automation adoption trends
• 📊 Make.com Review 2026 — Full breakdown of features, pricing, and credit system
• ⚡ Make vs Zapier — How Make.com compares to the market leader
• 🚀 How to Use Make.com — Step-by-step setup guide
• 🔧 GetResponse Review — Email platform with native automation features worth considering
• 🚀 Best Email Marketing Software — Full roundup including automation-heavy platforms
• 🔗 Pabbly Connect Review
• 🔗 Pabbly Connect vs Zapier
• 🔗 Pabbly Connect vs Make.com
• 🔗 How to Use Pabbly Connect
• 🧩 n8n Review
• 🧩 n8n vs Zapier
• 🧩 How to Use n8n

Sources and Further Reading

• Make Official Pricing Page (verified March 11, 2026)
• n8n Official Pricing Page (verified March 11, 2026)
• Make Help Center: Operations-to-Credits Transition (November 2025)
• n8n GitHub Repository — Community Edition source code and installation docs
• n8n Blog: The Execution Advantage — n8n’s explanation of execution vs. operations billing
• XE.com Exchange Rate — EUR/USD rate used: 1 USD = €0.8594 (March 11, 2026)

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Affiliate Disclosure: This article contains affiliate links. If you sign up for n8n through our link, we may earn a commission at no additional cost to you. We only recommend tools we’ve genuinely evaluated. All pricing data was independently verified from official sources on March 11, 2026. Our editorial opinions are not influenced by affiliate relationships.