Make vs n8n
Detailed comparison of Make and n8n to help you choose the right automation tool in 2026.
Reviewed by the AI Tools Hub editorial team · Last updated February 2026
Make
Visual automation platform (formerly Integromat)
Visual flowchart automation builder with advanced branching, data transformation, and error handling — delivers 3-5x more operations per dollar than Zapier while supporting far more complex workflows.
n8n
Open-source workflow automation tool
Open-source workflow automation with full self-hosting, custom code nodes, and AI agent capabilities — unlimited automations at the cost of a VPS, with complete data control.
Overview
Make
Make (formerly Integromat until 2022) is a visual automation platform that lets you build complex workflows connecting apps and services without writing code. While Zapier popularized the concept of app-to-app automation with simple trigger-action "Zaps," Make carved out its niche by offering a visual canvas where you design workflows as flowcharts, with branching logic, error handling, data transformation, and iteration capabilities that Zapier still lacks in its standard interface. Founded in 2012 in Prague, Make serves over 500,000 organizations and processes billions of operations monthly. It's the automation tool that power users and agencies graduate to when they outgrow Zapier's linear model.
The Visual Builder
Make's drag-and-drop scenario builder is its signature feature. Each workflow (called a "scenario") is a visual flowchart of connected modules. You can see the entire data flow at a glance — which is invaluable when debugging complex automations. Modules connect with lines that show exactly how data moves between them. You can click any connection to see the actual data being passed, add filters between modules to control flow, and set up routers to branch logic into parallel paths. For anyone who thinks visually, Make's interface is immediately intuitive in a way that Zapier's step-by-step list view is not.
Advanced Data Manipulation
Where Make truly outshines simpler automation tools is in data handling. Built-in functions for text, math, dates, arrays, and JSON manipulation let you transform data between steps without external tools. You can parse JSON from webhooks, iterate over arrays (processing each item in a loop), aggregate multiple items into one, and build complex data structures to send to APIs. The HTTP module makes arbitrary API calls with full control over headers, authentication, and body — making any service with an API automatable, even without a dedicated Make module. This flexibility is why developers and technical users prefer Make.
Error Handling and Reliability
Make provides dedicated error handling routes — if a module fails, you can define what happens: retry, ignore, commit (save partial data), rollback, or route to a different path. This is critical for production automations where failures happen (API rate limits, temporary outages, malformed data). Zapier handles errors with basic retry logic, but Make gives you full control. You can also set up scenarios to run on schedules, on webhooks, or by watching for changes (polling). The execution history shows every run with detailed logs, making troubleshooting straightforward.
Pricing: The Operations Model
Make's pricing is based on "operations" — each action a module performs counts as one operation. The free plan includes 1,000 operations per month and two active scenarios. The Core plan at $9/month provides 10,000 operations and unlimited scenarios. Pro at $16/month adds priority execution, full-text log search, and custom variables. Teams at $29/month adds team collaboration features. The operation-based pricing is more transparent than Zapier's task-based pricing, and Make generally offers 3-5x more operations per dollar compared to Zapier's equivalent tier. A scenario that processes 100 items in a loop counts as ~100 operations — understanding this is crucial for cost planning.
The App Ecosystem
Make connects to over 1,800 apps with pre-built modules, including Google Workspace, Slack, Shopify, HubSpot, Airtable, Stripe, and most popular SaaS tools. Where a dedicated module doesn't exist, the HTTP/Webhook modules let you connect to any service with an API. Make also supports SFTP, email (IMAP/SMTP), databases (MySQL, PostgreSQL), and file manipulation (CSV, XML, JSON). The community shares templates for common workflows, and Make's template library provides starting points for popular integrations.
Where Make Falls Short
Make's power comes with complexity. The visual builder that makes complex workflows clear can feel overwhelming for simple two-step automations that Zapier handles in 30 seconds. The learning curve is real — understanding data mapping, iterators, aggregators, and error handlers takes time. Documentation is good but not great, and the community (while growing) is smaller than Zapier's. Make's execution speed can also lag — scenarios run on scheduled intervals (minimum every 1 minute on paid plans, 15 minutes on free) rather than near-instantly like Zapier's webhook triggers. For organizations that need enterprise features like SOC 2 compliance, SSO, and dedicated support, Make's enterprise offering is less mature than Zapier's.
n8n
n8n (pronounced "nodemation") is an open-source workflow automation tool that combines the visual workflow building of Make and Zapier with the power of custom code execution and the freedom of self-hosting. Founded in 2019 in Berlin by Jan Oberhauser, n8n has grown into one of the most starred automation tools on GitHub (40,000+ stars) and serves teams that need automation without vendor lock-in or data privacy concerns. The key differentiator: you can see and modify the source code, host it on your own servers, and extend it with custom JavaScript or Python nodes. For technical teams that want automation without handing their data to a third-party SaaS, n8n is the natural choice.
Visual Workflow Builder with Code Superpowers
n8n's workflow editor is a visual canvas where you connect nodes (triggers and actions) to build automation flows. It's similar to Make's approach — you can see the entire workflow as a connected graph. But n8n adds something Make and Zapier don't have: Code nodes where you can write custom JavaScript or Python right inside the workflow. This means you're never stuck when a built-in integration doesn't do exactly what you need. Parse a complex XML response, calculate a custom metric, or call an obscure API — write a few lines of code and move on. The balance between visual building and code flexibility is n8n's defining strength.
Self-Hosting and Data Control
n8n can run on your own infrastructure — a VPS, Docker container, or Kubernetes cluster — giving you complete control over your data. Workflows, credentials, and execution logs never leave your servers. This is critical for companies in regulated industries (healthcare, finance, government) or teams that process sensitive data (customer PII, financial records, internal business data). Self-hosting also means no per-execution limits — your costs are just the infrastructure, not per-operation fees. A $20/month VPS can run thousands of workflows processing millions of executions monthly.
AI Agent Capabilities
n8n has invested heavily in AI integration, offering nodes for OpenAI, Anthropic (Claude), Google Gemini, and local models via Ollama. More importantly, n8n includes an AI Agent node that lets you build autonomous AI agents as part of your workflows. These agents can use tools (other workflow nodes), maintain conversation memory, and make decisions based on LLM reasoning. This positions n8n as not just an automation tool but an AI orchestration platform — a unique capability that Zapier and Make are only beginning to explore.
Integration Ecosystem
n8n offers 400+ built-in integrations covering major SaaS tools, databases, and protocols. While this is smaller than Zapier (6,000+) or Make (1,800+), n8n compensates with its HTTP Request node (call any API), community-contributed nodes, and the ability to build custom nodes using the n8n SDK. The community has created hundreds of additional nodes available via npm. For technical teams, the ability to write custom integrations is more valuable than a large pre-built catalog.
Pricing: Self-Hosted vs Cloud
n8n's Community Edition is free and open-source (fair-code license) for self-hosting, with no limits on workflows or executions. n8n Cloud starts at $20/month for 2,500 executions, scaling to $50/month for 10,000 executions and $120/month for 50,000. Enterprise Cloud and self-hosted Enterprise add SSO, RBAC, external secrets management, and SLA guarantees. The self-hosted Community Edition is the best value in automation — unlimited everything for the cost of a VPS. However, the fair-code license restricts commercial redistribution, so you can't resell n8n as a service.
Where n8n Falls Short
Self-hosting requires devops knowledge — you need to manage Docker containers, handle updates, configure databases (SQLite for small setups, PostgreSQL for production), and monitor uptime. If n8n crashes at 3 AM, you're responsible for restarting it. The UI, while functional, is less polished than Make's — managing large workflows with 50+ nodes can become visually cluttered. The integration count is lower than competitors, meaning you'll rely on the HTTP node more often. Documentation is improving but has gaps, especially for advanced use cases. And the community, while active on Discord and the forum, is smaller than Zapier's massive user base, so finding solutions to obscure problems takes more effort.
Pros & Cons
Make
Pros
- ✓ Visual flowchart builder makes complex multi-branch workflows clear and debuggable at a glance
- ✓ 3-5x more operations per dollar compared to Zapier — significantly better value for automation-heavy users
- ✓ Advanced data manipulation with built-in functions for JSON, arrays, text, math, and dates without external tools
- ✓ HTTP/Webhook modules let you connect to any API, even without a dedicated integration module
- ✓ Dedicated error handling routes (retry, rollback, alternative paths) enable production-grade reliability
Cons
- ✗ Steeper learning curve than Zapier — data mapping, iterators, and error handlers take time to master
- ✗ Scheduled execution intervals (minimum 1 minute on paid, 15 minutes on free) add latency compared to instant triggers
- ✗ Smaller community and fewer tutorials than Zapier, making troubleshooting harder for uncommon use cases
- ✗ Enterprise features (SOC 2, SSO, dedicated support) are less mature than Zapier's enterprise offering
- ✗ Simple two-step automations feel over-engineered in Make's visual builder — Zapier is faster for basic workflows
n8n
Pros
- ✓ Free self-hosted edition with unlimited workflows and executions — automation at the cost of a VPS
- ✓ Code nodes (JavaScript/Python) let you write custom logic right inside visual workflows, eliminating 'can't do that' moments
- ✓ Full data control: self-host on your servers so credentials, data, and execution logs never leave your infrastructure
- ✓ AI Agent node enables building autonomous LLM-powered agents as part of automation workflows
- ✓ Active open-source community (40K+ GitHub stars) with community-contributed nodes and templates
Cons
- ✗ Self-hosting requires devops skills: Docker management, PostgreSQL, updates, and monitoring are your responsibility
- ✗ Smaller integration catalog (400+) compared to Zapier (6,000+) and Make (1,800+)
- ✗ UI becomes cluttered with large workflows (50+ nodes) and lacks some polish compared to Make's visual builder
- ✗ Documentation has gaps for advanced use cases, and the community is smaller than Zapier's for troubleshooting
- ✗ Fair-code license restricts commercial redistribution — you cannot resell n8n as a service to customers
Feature Comparison
| Feature | Make | n8n |
|---|---|---|
| Scenarios | ✓ | — |
| Visual Builder | ✓ | — |
| API Connector | ✓ | — |
| Data Stores | ✓ | — |
| Webhooks | ✓ | ✓ |
| Visual Workflows | — | ✓ |
| Self-hosted | — | ✓ |
| Code Nodes | — | ✓ |
| AI Agents | — | ✓ |
Integration Comparison
Make Integrations
n8n Integrations
Pricing Comparison
Make
Free / $9/mo
n8n
Free (self-hosted) / $20/mo
Use Case Recommendations
Best uses for Make
E-commerce Order Processing Pipeline
Shopify stores use Make to automate the full order lifecycle: receive new order, check inventory in a warehouse system, create shipping labels via API, update the customer via email, sync data to accounting software, and handle exceptions like out-of-stock items with branching logic.
Marketing Lead Enrichment and Routing
Marketing teams connect form submissions to CRM, enrich leads with data from Clearbit or similar APIs, score them based on criteria, and route high-value leads to sales reps via Slack while adding lower-priority leads to nurture email sequences — all in one visual scenario.
Agency Client Reporting Automation
Digital agencies pull data from Google Analytics, Google Ads, Facebook Ads, and social platforms into Google Sheets or Data Studio dashboards automatically. Make's iteration capabilities process multiple client accounts in a single scenario.
Content Publishing Workflow
Content teams automate the publishing pipeline: when a blog post is marked 'Published' in Airtable or Notion, Make creates social media posts, schedules them, generates newsletter content, updates the sitemap, and notifies team members — with error handling for failed API calls.
Best uses for n8n
Internal Business Process Automation (Self-Hosted)
Companies in regulated industries run n8n on their own servers to automate internal processes — document processing, data syncing between internal tools, report generation — without sending sensitive data through third-party SaaS automation platforms.
AI-Powered Workflow Orchestration
Technical teams build AI agent workflows that use LLMs (GPT-4, Claude) to process unstructured data: classify support tickets, extract information from documents, generate responses, and route decisions — all within n8n's visual workflow builder with custom code where needed.
Developer Tooling and DevOps Automation
Engineering teams automate GitHub/GitLab workflows: run deployments on merge, notify Slack on failures, create Jira tickets from monitoring alerts, sync documentation, and manage infrastructure — leveraging n8n's code nodes for complex logic.
Startup Automation on a Budget
Bootstrap startups run n8n on a $10-20/month VPS to automate CRM updates, email sequences, lead scoring, invoice generation, and data pipelines — achieving what would cost $200-500/month on Zapier or Make at scale.
Learning Curve
Make
Moderate. Simple scenarios (trigger + action) can be built in minutes. Understanding routers, iterators, aggregators, and data mapping takes 1-2 weeks. Building production-grade scenarios with error handling and complex logic requires a month of hands-on experience. Make's Academy (free courses) and template library accelerate learning significantly.
n8n
Moderate for non-technical users, low for developers. The visual builder is intuitive for simple workflows. Self-hosting setup requires Docker knowledge (1-2 hours with documentation). Building complex workflows with code nodes, error handling, and sub-workflows takes 2-3 weeks. Developers familiar with JavaScript find n8n immediately comfortable; non-technical users may prefer Make or Zapier for simplicity.
FAQ
How does Make compare to Zapier?
Zapier is simpler and faster for basic automations (connect A to B). Make is more powerful for complex workflows with branching logic, data transformation, and error handling. Make's visual builder shows the entire flow as a flowchart; Zapier shows a linear step list. Pricing: Make gives 3-5x more operations per dollar. App count: Zapier has 6,000+ apps; Make has 1,800+. Choose Zapier for simplicity and breadth; choose Make for complexity and value.
Is Make's free plan useful?
The free plan includes 1,000 operations per month and 2 active scenarios with a 15-minute polling interval. For personal automations (like syncing a form to a spreadsheet once a day), it works. For business workflows processing dozens of items daily, you'll hit the limit quickly. A single scenario that processes 50 items counts as ~50 operations, so 1,000 operations/month gets consumed fast. The free plan is best treated as a trial for building and testing scenarios before committing to a paid plan.
How does n8n compare to Zapier and Make?
Zapier: simplest, most integrations (6,000+), most expensive per operation. Make: visual builder, great data handling, mid-price. n8n: open-source, self-hostable, code-friendly, cheapest at scale. Choose Zapier for simplicity, Make for visual complexity, n8n for data control and cost efficiency. n8n's unique advantages are self-hosting (data never leaves your servers) and code nodes (write JavaScript/Python inside workflows).
Is self-hosting n8n difficult?
With Docker, it takes about 30 minutes. The simplest setup is docker-compose with n8n and PostgreSQL. For production, you'll want a reverse proxy (Nginx/Caddy), SSL certificate (Let's Encrypt), and basic monitoring. n8n provides official Docker images and docker-compose files. The main ongoing work is keeping n8n updated (monthly releases) and monitoring that it stays running. Most developers find it straightforward; non-technical users should use n8n Cloud instead.
Which is cheaper, Make or n8n?
Make starts at Free / $9/mo, while n8n starts at Free (self-hosted) / $20/mo. Consider which pricing model aligns better with your team size and usage patterns — per-seat pricing adds up differently than flat-rate plans.