Automations
n8n vs Make vs Zapier: automation comparison for 2026
A practical comparison of n8n, Make and Zapier: control, integrations, AI, data protection and the right starting point for a small business.
Key takeaways
- n8n is flexible and can be self-hosted, which gives more control but also more responsibility.
- Make is a visual builder with a good balance between power and a managed setup.
- Zapier is often the easiest first step and has a broad catalogue of integrations, but costs can grow with usage.
- For customer data, compare hosting, access, retention, backups and the people responsible for maintenance, not only the monthly plan.
What is a workflow automation platform?
It connects an event in one service to actions in another. A new form submission can create a lead, notify a person, add a task and send a confirmation. The platform provides triggers, actions, filters, data mapping and error handling.
The important question is not which platform has the longest integration list. It is whether the workflow can be understood, monitored and repaired when a service changes or a request fails.
n8n: open-source and self-hosted
n8n is a visual workflow tool that can run in the cloud or on infrastructure you control. It supports custom code, HTTP requests, webhooks, branching logic and integrations with AI services.
Key strengths
- control over hosting and data location,
- flexible logic for non-standard processes,
- custom nodes and JavaScript when a normal action is not enough,
- suitable for workflows that need more than a simple two-step connection.
When n8n makes sense
Choose n8n when you need custom logic, a self-hosted option or a stable workflow cost model, and you have someone responsible for updates, backups, monitoring and security.
Make: visual builder with managed hosting
Make is a visual scenario builder. It makes data movement and branching easy to inspect and is often a good middle ground for a small company that wants more control than a basic recipe tool without operating a server.
Key strengths
- clear visual scenarios,
- useful filters and routers,
- many ready-made connectors,
- quick testing and iteration.
When Make makes sense
Make is a good fit for marketing, lead management and operations workflows that need several steps but do not require self-hosting or complex custom code.
Zapier: the easiest first step
Zapier focuses on getting an automation running quickly. Its recipes and broad app catalogue make it approachable for teams that want to connect familiar tools without designing an entire system.
Key strengths
- fast setup,
- many ready-made app connections,
- simple interface for common workflows,
- accessible to non-technical users.
When Zapier makes sense
Zapier is a sensible first choice for a small number of straightforward workflows. Before scaling, check task limits, error handling, data retention and the cost of each additional step.
Comparison: price, integrations, AI and data
| Area | n8n | Make | Zapier |
|---|---|---|---|
| Hosting | Cloud or self-hosted | Managed cloud | Managed cloud |
| Custom logic | Strong | Good | More limited in simple plans |
| Visual building | Good | Excellent | Very accessible |
| AI workflows | Flexible and customisable | Good for standard flows | Good for common actions |
| Maintenance | Your responsibility when self-hosted | Mostly managed | Mostly managed |
| Best starting point | Control and custom processes | Visual multi-step work | Fast, simple connections |
Pricing changes, so compare the current plan limits on the vendor’s website. Count operations, tasks, data transfer, retries and team seats. A lower sticker price can become expensive when a workflow grows.
Which tool should a company choose?
A solo business with a few simple connections
Start with Zapier or Make if the priority is to ship a simple workflow quickly and no one wants to maintain infrastructure.
A company with many multi-step processes
Make is often a practical middle ground. n8n is worth considering when the logic becomes highly custom or data control is a deciding factor.
A workflow with sensitive customer data
Map where data travels, which suppliers process it, who can access it and how long it is retained. A self-hosted option can help, but it does not automatically make a workflow compliant. Configuration and operational discipline still matter.
An AI-first workflow
Choose based on the model, data, evaluation and failure path. A workflow that calls an LLM needs input limits, logging, fallbacks and human review for important decisions. The platform name is only one part of the design.
How to start with n8n
- Draw the process before choosing nodes.
- Define the trigger, expected input and final outcome.
- Keep secrets in environment variables or the platform’s secret store.
- Add validation before sending data to another service.
- Log failures and decide who receives an alert.
- Test duplicate events, missing fields and rate limits.
- Document ownership, backups and the next person who could repair it.
FAQ
Can a workflow run without AI?
Yes. Most useful automations are deterministic: forms, notifications, CRM updates, reports and synchronisation. AI is useful where interpretation or drafting is actually needed.
Is self-hosting always better?
No. It gives control but adds responsibility for updates, backups, security and availability. A managed service can be the better business decision when the workflow is simple and the team is small.
How should I compare an automation quote?
Ask what is included in setup, testing, monitoring, maintenance, changes, error alerts and data handling. Also ask who owns the accounts and workflow definitions.