The possibilities for software-based workflow automation are becoming increasingly sophisticated. Key factors here are the low-code/no-code approach now common to many solutions and the growing integration of AI automation. Both of these trends make it easier to implement process optimization while also making it more effective. In this n8n vs. Make comparison, we take a closer look at two of the leading applications featuring the latest generation of technology. If you’re currently wondering which automation tool is best for you or your business, you’ll likely find the right answer here.
What is n8n?
n8n is a low-code automation solution that places a strong emphasis on flexibility and openness. It is designed for users who want a high degree of control over their processes but still prefer an easy-to-use visual interface. With it, you can not only create simple workflows but also implement complex logic and customizations.
The platform offers the ability to integrate your own code. Combined with the user-friendly frontend, this creates a blend of low-code and true developer freedom. n8n really shines when standard solutions are no longer sufficient and you might be looking for a more powerful Zapier alternative.
Another important point is hosting. Unlike many other automation tools, you can run n8n yourself, for example on your own server or a VPS. This gives you full control over your data. Alternatively, a cloud version is also available.
Low-Code/No-Code and User Interface in n8n
At first glance, n8n looks like many other workflow automation tools. You work centrally with a visual editor, drag elements onto a canvas, and connect them to each other. These elements are called “nodes” here.
But the difference becomes apparent quickly. Each node can be deeply customized by modifying, filtering, or completely restructuring data. If that’s not enough, you can write your own code directly within the workflow.
This is often very useful, especially for more complex processes. You can flexibly build loops, define conditions, or specifically handle errors. This results in highly dynamic automation that goes far beyond simple standard workflows.
Another advantage lies in debugging. You can see which data is being processed at every step. This makes troubleshooting much easier and saves time, especially on larger projects.
However, getting started can be more challenging than with some competitors. Without technical knowledge, you’ll need some training. In return, you’ll gain significantly more possibilities in the long run.
Integrations with n8n
n8n currently offers over 1,000 pre-built integrations covering many typical business applications. These include, among others:
• CRM systems such as HubSpot, Salesforce, or Microsoft Dynamics
• Communication tools such as Slack or Microsoft Teams
• Databases such as MySQL or PostgreSQL
• Marketing automation programs such as Mailchimp or ActiveCampaign
• Cloud services like Google Sheets or Airtable
However, what matters here is not so much the sheer number of possible connections, but rather the flexibility they offer. With the HTTP Request Node, you can connect to any API, even if there is no pre-built integration. This opens up virtually unlimited possibilities for you. You are not limited to existing interfaces; instead, you can simply build your own if needed. Additionally, you can develop completely custom nodes through coding.
Within the active community, you’ll find many templates, examples, and solutions for common problems.
AI Features and Automation with n8n
With n8n, you get access to various AI features that help you build and optimize workflows.
A particularly exciting feature is the so-called AI Workflow Builder. Here, you describe in plain language what should happen, whereupon the system automatically generates a suitable workflow with all necessary steps.
AI also supports you during programming, especially within code nodes. Here, you simply formulate instructions, which are then automatically translated into working code. This saves time and, not least, reduces errors.
Furthermore, AI helps you with problem analysis. If a workflow isn’t working, logs are analyzed and specific suggestions for improvement are provided.
In addition, there are special AI nodes that handle tasks such as text analysis, summarization, or data processing. These can be integrated directly into existing workflows and significantly expand the possibilities.
n8n Pricing at a Glance
Many automation tools are offered under an operations-based pricing model, where you pay based on usage or activity. n8n, however, takes the opposite approach with execution-based pricing. This means you’re charged for the cost of complete workflow executions.
You can get started for as little as around 24 euros per month. This plan is clearly aimed at beginners who want to test out their first automations. For productive use, there are higher tiers with more executions and advanced features.
As your requirements grow, so does the scope of features. These include, among others:
• More concurrent executions
• Advanced analytics and logging features
• Access to role and team management
• Scaling options for larger systems
An important advantage: With self-hosted versions, you can use the platform for free. This makes n8n particularly appealing to companies that want to gain greater control over their budget in the long term.
Who is n8n suitable for?
We already hinted at the target audience at the beginning of this chapter: n8n truly unleashes its full potential especially when flexibility and control are crucial. Many teams adopt the solution as soon as they hit the limits of other automation tools. However, there are also other typical users, as the following summary shows:
• Technical teams that want to implement their own logic
• Companies that generally need to map complex workflows, such as those with multiple conditions or loops
• Organizations with high data protection requirements, for whom self-hosting means greater security and better scalability
• Agencies that want to operate or offer many automations cost-effectively
n8n remains particularly interesting as usage grows. Costs do not automatically rise with every additional step, which quickly becomes a problem with many other tools.
Key advantages and disadvantages of n8n
Advantages:
• High flexibility through code integration and customizations
• Full data control possible via self-hosting
• Cost-effective for complex workflows
Disadvantages:
• Steeper learning curve for beginners without technical expertise
• Setup is more complex with the self-hosting option
• Fewer pre-built integrations than some competitors
What is Make?
Make is geared more toward users who want to see quick results without prior technical knowledge. The platform is offered entirely cloud-based. You don’t need to install anything and can get started right away. After signing up, you build your workflows directly in the browser.
The core principle is simple: You combine modules, connect them, and define processes, creating so-called scenarios that are eventually executed automatically.
Low-Code/No-Code and User Interface in Make
Make is one of the best-known tools in the field of no-code automation. The interface is visually intuitive and heavily modeled after classic workflow diagrams.
You drag modules onto a canvas, connect them, and specify how the relevant data is processed. Each step is clearly visible and logically linked to other process components, which makes navigation easier.
Given these conditions, the learning curve often takes only a few hours. Even without prior technical knowledge, you can very quickly create your first automated workflows, such as:
• Transferring new leads from forms to a CRM
• Sending emails automatically
• Triggering notifications in Slack
For some time now, Make has also offered its own code modules for JavaScript and Python. This now allows for the implementation of more complex logic without switching tools.
Nevertheless, the focus remains clearly on ease of use and high user-friendliness, which is a clear advantage, especially for companies that are just beginning to explore AI automation and do not have their own IT department.
Integrations with Make
When it comes to integrations, Make is clearly ahead in the automation tool comparison. The platform offers over 2,800 ready-made connections to well-known applications used in many organizations. These include, among others:
• Google Workspace (Sheets, Gmail, Drive)
• Slack and Microsoft Teams
• Shopify and WooCommerce, as well as solutions for e-commerce automation
• Salesforce and other CRM systems
• Airtable, Notion, and many other tools
In practice, of course, it’s less important to focus on having as many integrations as possible, and more on checking whether the most important tools your company uses (or will use in the long term) are actually covered.
AI Features and Automation with Make
Make is also moving strongly toward AI-powered automation—several features are already integrated directly into the platform. A central element is the so-called AI Assistant, which helps you build scenarios, explains existing workflows, and facilitates troubleshooting.
Additionally, there are native AI modules that can be used without an external API. These handle tasks such as:
• Text analysis and categorization
• Content summarization
• Translation and natural language processing
Furthermore, AI Agents were recently introduced as a beta version. This makes it possible to control processes very dynamically and integrate AI agents as team members. Here, Make clearly goes beyond classic if-then logic. These agents can understand goals, take context into account, and independently decide which steps make sense next in a workflow.
Integration is kept simple. You can incorporate these features into your existing workflows with just a few clicks and start using them immediately.
Make Pricing Overview
Make is a classic operations-based pricing tool that uses a credit system. Every action within a workflow consumes so-called operations.
Getting started is free. The Free Plan provides you with 1,000 credits per month. That’s enough for simple tests or small automations. However, as usage increases, you’ll need paid plans. These start at around 9 euros per month and increase depending on usage. The rule still applies: Every step in the workflow costs credits.
This can quickly become relevant, especially for more complex or frequently recurring automations. The more modules and branches you use, the higher your consumption will be.
Who is Make suitable for?
Smaller, non-technical teams in particular benefit from Make’s ease of use. You can create functional workflows in a short amount of time without having to spend a lot of time learning the system. Code isn’t an issue—unless you want or need to integrate it.
Typical use cases are therefore:
• Beginners without programming knowledge who are building their first automations
• Small and medium-sized businesses automating standard processes
• Teams focused on speed who want to get started immediately
• Projects using many different standard tools that require broad integration
When convenience and easy implementation are more important than maximum customization, Make often proves to be the better choice.
Key advantages and disadvantages of Make
Advantages:
• Very easy to use and quick to get started
• Wide range of integrations
• Fast implementation of standard workflows
Disadvantages:
• Costs increase with usage and complexity
• Less control over complex logic
• Data runs through external cloud infrastructure
The direct comparison: n8n vs. Make
A less feature-oriented but nonetheless important point we’d like to address here is data protection. Make processes personal information via cloud servers, mostly on AWS, which are located in the US or the EU. For many companies, this isn’t an issue. Industries with strict requirements, however, need to take a closer look here. For such organizations or data-conscious companies in general, n8n offers an alternative with its self-hosting option. This ensures that critical data remains entirely within your own environment.
Conclusion: n8n or Make – which tool is better?
When comparing n8n vs. Make, there is (of course) no single tool that is universally better. Both solutions are among the strongest platforms in the field of workflow automation.
The decision depends primarily on what you need. If you want to get started quickly, have relatively little technical knowledge, and are automating relatively simple processes, Make is often the better choice. You get an intuitive interface and can generate ready-to-use process chains on your own within hours.
As soon as your requirements grow, the picture changes. Complex workflows, custom logic, and/or rising costs lead many teams sooner or later to n8n. We know from experience: Companies often start with simpler no-code tools, but these eventually become no longer effective or efficient enough as automation needs grow.
Switching to n8n is often worthwhile at that point. You gain more control, can customize processes more extensively, and work in a way that adds more value in the long term. We’d be happy to determine which tool best fits your needs during our AI consultation—including selection and implementation.
FAQ
Is n8n or Make better for workflow automation?
That depends on your use case. Make is suitable for simple and quick automations that can be implemented rapidly even without technical knowledge. n8n, on the other hand, offers more possibilities for complex processes and customizations. Coding is not just an add-on module here, but natively integrated.
Can you automate workflows with Make or n8n for free?
Yes. Both tools offer free entry options. Make provides 1,000 credits per month for free to get you started. n8n can even be used completely free of charge in the self-hosted community version under certain conditions.
Do n8n and Make integrate AI for automation?
Yes, both n8n and Make have AI features built-in. n8n offers more advanced capabilities for custom logic and data processing using AI. The AI Workflow Builder and AI-powered error analysis help you build and optimize your processes. Make makes it easy to get started with ready-to-use AI modules for tasks such as text analysis, translations, or summaries. Additionally, artificial intelligence supports you in creating and understanding workflows without having to write a single line of code.
Posted by:
Jens is the co-founder of bakedwith, a boutique consultancy firm specialising in smart automation and AI. He helps medium-sized companies and corporations to optimise processes, reduce manual work and achieve growth through efficient workflows. Previously, he was Growth Lead at OMR and worked as a freelancer, helping numerous companies optimise their CRM and automation systems. Jens is passionate about combining growth and efficiency to enable teams to focus on what matters most.
