Picture this: a company with 40 employees decides it can no longer keep copying data from the ERP into Excel, sending invoices manually or reviewing emails one by one. The director starts researching solutions, and within two hours has looked at twenty different tools. UiPath, Automation Anywhere, n8n, Make, Zapier, Power Automate, Workato… they all promise the same thing: to automate your business. In the end, the browser closes and confusion is higher than before. If this sounds familiar, you are not alone: choosing the right RPA n8n Make automation tool is one of the most expensive mistakes a small or mid-sized business makes when starting to digitalise.
The problem is not that there are too few options, but that almost nobody explains how they actually differ. A bad decision can easily mean 5,000 to 30,000 euros wasted in licenses, development and consulting hours before realising that the tool does not fit the use case.
In this article we are going to compare RPA, n8n and Make from a practical standpoint, with concrete examples, so you walk away with a clear idea of what your business really needs.
The problem of choosing without clear criteria
Most companies pick an automation tool for one of three reasons: because a vendor recommended it, because they saw an ad, or because someone on the team read an article. None of those are good criteria.
Automating a process is not about buying software, it is about designing a solution. And each tool is built for a different type of problem. Using RPA to connect two modern APIs is like renting a crane to move a cardboard box: it works, but it will ruin your budget. Using Make to extract data from a legacy SAP system without an API is simply impossible, no matter how hard you try.
Before comparing, it is worth being clear about six key criteria: which systems you need to connect, whether those systems have APIs, your team technical level, how much control you need over the data, your budget and how you plan to scale over the next two years.
RPA, n8n and Make: what really sets them apart
Let us explain each one with real examples before comparing them in a table.
RPA (Robotic Process Automation). We are talking about tools such as UiPath, Automation Anywhere or Power Automate Desktop. An RPA robot does exactly what a person would do in front of the computer: it opens applications, clicks buttons, copies data from one screen to another, reads PDFs via OCR. Its great advantage is that it works with any system, whether it has an API or not. Its big limitation is fragility: if a button moves, the robot breaks. Typical cost: 400 to 1,200 euros per month per license, plus implementation.
n8n. An open source automation platform focused on API-based workflows. It connects to more than 400 services, allows custom JavaScript or Python code, and most importantly, it can be self-hosted on your own server. That makes it the favourite choice when working with sensitive data or when the volume of automations is high. Its weak point is that you need a technical profile to get the most out of it.
Make (formerly Integromat). This is the visual tool par excellence. You drag blocks, connect them and you are done. Ideal for non-technical teams that want to move fast. It offers more than 1,500 integrations, affordable pricing from 9 euros per month, and a gentle learning curve. The trade-off is that as the project grows, the cost per operation shoots up and flexibility is limited when flows get complex.
| Criterion | RPA | n8n | Make |
|---|---|---|---|
| Systems without API | Excellent | Limited | Not supported |
| Modern API integrations | Basic | Very high | Very high |
| Ease for non-technical users | Low | Medium | High |
| Control and flexibility | High | Very high | Medium |
| Estimated monthly cost | 400-1,200 € | 0-50 € (self-hosted) | 9-300 € |
| Maintenance effort | High | Medium | Low |
| Scalability | Expensive | Very high | Medium |
When to choose each tool
These are the real-world scenarios where each one shines.
Choose RPA if:
- Your critical systems are old and have no API (custom ERPs, desktop software, mainframes).
- You need to automate processes involving graphical interfaces or virtual desktops.
- You work with scanned documents, complex PDFs or digitised paper forms.
- The volume of repetitive tasks justifies expensive licenses (usually above 500 automatable hours per month).
Choose n8n if:
- You handle sensitive data and need everything to run on your own infrastructure for GDPR compliance.
- Your team has at least one technical profile who can maintain the system.
- You expect to run dozens or hundreds of complex workflows with advanced conditional logic.
- You want to avoid vendor lock-in and keep full control over your automations.
Choose Make if:
- You want to get started quickly with automations between cloud tools (CRM, email, Slack, Google Workspace).
- Your team is not technical and needs to maintain the flows independently.
- Your monthly operation volume is moderate (less than 50,000 executions per month).
- You want a predictable, low cost to start generating value in weeks rather than months.
The combination that works best in practice
After delivering more than a hundred projects, one conclusion stands out clearly: the best strategy is rarely to pick a single tool. In reality, mature companies combine RPA n8n Make automation tool options depending on the type of process.
One example: a distributor we work with uses RPA to extract orders from their legacy ERP (no API available), n8n to orchestrate integration flows between their CRM and ecommerce, and Make so the sales team can build simple automations without depending on IT. The outcome: 180 hours saved per month, total cost of 420 euros monthly, and autonomy for the business team.
The key is to understand that each tool solves a different layer. RPA reaches where there is no API, n8n orchestrates complex logic and sensitive data, Make empowers business teams. Trying to force a single tool to cover everything is expensive and inefficient.
If you are at the point of making a decision and want to avoid costly mistakes, the most profitable first step is an audit that identifies which processes to automate, with which tool, and in what order. One hour of proper analysis can save you five figures in badly chosen licenses.