Make vs. n8n vs. Power Automate: Which Automation Tool Fits Which Business?

TL;DR: Make is visual automation with a huge app selection and good value for money for SMEs, n8n brings an open-source core with a self-hosting option for data protection and compliance requirements, and Power Automate is strong for simple, individual workflows in Microsoft 365. Already using Microsoft 365 is not, on its own, an argument for Power Automate, since Make connects to Outlook, Teams and SharePoint without any detours. There is no objectively best tool, only the one that fits your own IT landscape, compliance situation and available know-how.
Posted on
October 5, 2026
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The question “Make, n8n or Power Automate?” can’t be answered in a blanket way, because the three tools are built for different starting points. This article compares them along the criteria that decide success or frustration in practice, and shows which tool fits which type of company.

Why a neutral comparison matters

Automation tools are often chosen by gut feeling, or picked because that’s the tool the team already knows. That regularly leads to poor decisions: an enterprise with strict compliance requirements picking a pure cloud SaaS tool, or an SME with no IT department choosing a solution that assumes programming skills. The comparison below rates Make, n8n and Power Automate across eight criteria that are actually decision-relevant for most companies.

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Comparison table

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Criterion Make n8n Power Automate
Pricing model Credit-based (called Operations until August 2026), plan tiers with a scalable quota Execution-based (cloud) or licence-free when self-hosted; fair-code licence Per user/month or per flow, tiered by premium connectors
Hosting Cloud (Make’s own infrastructure) Cloud (n8n Cloud) or self-hosted on your own infrastructure Cloud, deeply embedded in Microsoft Azure infrastructure
Data protection / Switzerland EU data centres selectable; data leaves your own infrastructure when using the cloud With self-hosting, data stays entirely in-house, including in Switzerland Data processing in Microsoft cloud regions, under Microsoft’s compliance framework
Learning curve Low to medium, visual editor, good for non-developers Medium to high, an advantage for teams with developer know-how, JavaScript/Python nodes possible Low for simple flows, rises noticeably with Dataverse and complex logic
Integrations Very broad app selection (several thousand), including niche applications Growing library, plus generic HTTP/API nodes for practically anything Very strong within the Microsoft ecosystem, premium connectors sometimes needed outside it
Coding capability Code App with JavaScript and Python, common libraries included; the Enterprise plan allows any third-party libraries and longer runtimes, plus an MCP client for external tools Native JavaScript and Python nodes, full code flexibility Limited; Power Fx and connections to Azure Functions are possible
AI / Agents AI modules and integrations with common LLM providers available Dedicated AI agent nodes, LangChain integration, very flexible for AI workflows Copilot integration and AI features within the Microsoft ecosystem
Debugging and scaling Execution log per module, error handler routes, incomplete executions with retry, manageable even at high volume Detailed executions view, error workflows, full control when self-hosted Sufficient for simple flows; debugging and maintenance become noticeably more effort with branched logic and high volume
Enterprise governance From Teams/Enterprise: roles, overage protection, extended logs Enterprise plan or self-hosting: SSO/SAML/LDAP, environment separation, Git versioning Strongly built out via Power Platform Admin Center, Dataverse governance, Conditional Access
Community Large, active community, many templates Very active open-source community, many public workflow templates Large Microsoft partner and user community, extensive official documentation

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Note: prices, quotas and feature details change regularly. The official pages are authoritative: Make pricing, n8n pricing, and the Microsoft Power Automate pricing page (as of September 2026).

Make in detail

Ideal if:

You want to connect a huge range of standard and niche apps without an in-house IT department, a visual editor matters for fast iteration, and a predictable, well-scalable cloud offering is enough.

A common misconception is that Make is “just” a no-code click tool. That hasn’t been true since the Code App arrived. Your own JavaScript and Python logic runs directly in the scenario, common libraries such as lodash, moment.js, pandas and requests are available, the Enterprise plan lets you import any third-party libraries, and runtime increases from 30 to 300 seconds. Via the MCP client, a scenario can also talk to external tools and AI systems.

Probably not if:

Your data must stay in-house for regulatory reasons, or if you want to run and version the entire platform yourself.

n8n in detail

Ideal if:

Data protection and data sovereignty are core requirements, for example in regulated industries or with sensitive customer data, and the team has the developer know-how to run and maintain a self-hosted environment. n8n is also strong for companies that want to build complex, code-heavy automations.

Probably not if:

there are no IT resources available to run, update and secure a self-hosted instance. n8n’s cloud version softens this somewhat, but brings back the same trade-off as with other cloud tools.

Power Automate in detail

Ideal if:

It’s about simple, individual workflows within Microsoft 365: approvals, notifications, document filing, one flow per employee. Integration with SharePoint, Teams, Outlook and Dataverse is mature, many licences are partly covered by existing Microsoft 365 contracts, and flows fit seamlessly into existing access rights.

Probably not if:

the automation grows beyond simple workflows. This is exactly where the most important limitation from our project experience lies: as branching increases, flows in Power Automate become increasingly hard to follow, debugging gets time-consuming, and maintenance gets expensive. Even if most of your tools sit outside the Microsoft world, premium connectors are quickly needed, and licence costs per user or per flow add up.

Worth noting: Power Automate is a good tool for what it’s built for. The question isn’t whether it works, but how well it grows with you.

Decision logic by company type

SMEs without their own IT department

For smaller companies without dedicated IT, Make is usually the most pragmatic starting point: visual editor, broad app selection, no need to run your own infrastructure. Power Automate is a valid alternative if the company already works entirely within Microsoft 365.

SMEs with their own IT

If the company has developer resources in-house, self-hosting n8n becomes an option. That’s worthwhile in particular when data sovereignty matters, or when automations need to go beyond what a visual editor comfortably covers. Even here, Make often remains the more efficient choice for the “quick” processes; combining both tools is common in practice.

Enterprises with high compliance requirements

With strict governance and compliance requirements, the Enterprise tiers of all three providers come into focus: SSO/SAML, environment separation, audit logs, role-based access control. n8n also offers the option of running the entire infrastructure in your own data centre or a controlled cloud environment, which can be decisive where data residency requirements are particularly strict. If the enterprise is already heavily geared towards Microsoft governance tools (Entra ID, Purview, Conditional Access), Power Automate plays to its strengths through deep integration with those tools.

Microsoft 365 companies

This point deserves some clarification, because it’s often overrated as a criterion: practically every company works with Microsoft 365 today, and yet many of them still use Make. Using M365 alone is therefore not a decision criterion, since Outlook, Teams, SharePoint and OneDrive connect to Make without any detours.

What matters is the type of workflow. If it stays simple and takes place entirely within Microsoft, for example an approval followed by filing, Power Automate is the obvious choice and often already licensed. As soon as multiple systems, branched logic, error handling or high volume come into play, our project experience points towards Make: the flow stays readable, errors can be traced in the log per module, and maintenance stays affordable. A common split is therefore: Power Automate for personal, Microsoft-internal flows, Make as the automation backbone for everything that crosses system boundaries.

Real-world example: combination instead of either/or

In practice, companies often don’t rely on a single tool for everything, but combine strengths: Power Automate for internal approval processes within Microsoft 365, Make for connecting external customer and marketing tools, and n8n for individual, data-protection-critical routes that must run in-house. This combination requires a clear architectural decision about which system is responsible for which processes, so that no duplicate or conflicting automations arise.

✨ AI generated content

Frequently Asked Questions (FAQ)

Are Operations now called Credits at Make?

Yes. Since the end of August 2026, the Credit is the billing unit in Make. Existing quotas were converted 1:1, prices stayed unchanged. The term Operation still refers to a single module run, but it's no longer the billing unit.

Who is n8n best suited for?

For those who want more control and flexibility than Zapier or Make offer – from tech-savvy individuals and marketing teams to IT departments looking to automate complex, AI-powered workflows.

Is n8n secure for enterprise data?

Yes. You can run n8n entirely on-premise, ensuring that no data leaves your own system. Cloud data is stored within the EU (Frankfurt).

What company size is AI automation suitable for?

Essentially for companies of all sizes – what matters is not the size of the company, but whether a recurring problem falls into one of the seven categories (summarization, classification, data extraction, etc.). SMEs often benefit disproportionately, as they can achieve a significant impact with a small team.

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Which tool fits you?

Blinno works operationally with Make, n8n and Power Automate, and is a Make Gold Partner as well as a monday.com Platinum Partner. Because we use all three tools day to day, we advise without any sales pressure towards one particular vendor, but based on your actual requirements around IT landscape, data protection and team know-how.

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