EINFACHAI

EinfachAI vs. n8n: Platform or Developer?

A factual comparison of n8n as a fair-code workflow automation platform versus EinfachAI as implementation by a senior developer, with decision criteria for DACH mid-market companies.

Summary

Summary: n8n is a workflow automation platform that you or your team operate yourselves. EinfachAI is implementation by a senior software developer who builds the automation, documents it, and hands it over. So the real question is not "which one is better" but: who should be running and extending this automation two years from now?

The comparison at a glance

Criterion

n8n

EinfachAI

What it is

Fair-code workflow automation platform (n8n GmbH, Berlin)

Implementation by a senior developer (15 years of software, 8 of them Shopware)

Who builds the workflows

Your team — visually on the canvas, with a code node where needed

I build them, document them, and hand them over ready to run

Operation

Self-hosted via Docker (source available) or hosted

Runs in your infrastructure, connected to ERP, PIM and inventory

Data residency

In your environment when self-hosted

In your environment; processing stays with you

Cost model

Community edition self-hosted is free; cloud tiers from €20/month (Starter, billed annually)

Project or hourly based, no platform subscription

Strengths

500+ integrations, fast in-house workflows, every step traceable on the canvas

Systems that standard connectors cannot cover: legacy systems, portals without APIs, PDF data

Limits

Very specific or locked-down systems; deep e-commerce integration needs custom node logic

Standard SaaS integrations are cheaper with a platform than with a developer

Sources on n8n: Statements are taken from n8n's own public website and public repository (see competitor_sources in the frontmatter). As of 2026-09-20.

What n8n is

n8n describes itself as a Berlin-based fair-code workflow automation platform. The approach is deliberately dual: you build workflows visually on a canvas and can add JavaScript or Python anywhere the visual logic is not enough. There are more than 500 pre-built integrations plus the option to build custom API connections. You can self-host with Docker with full access to the source code, or use the hosted version. Billing is per execution rather than per individual step inside a workflow.

For technical teams this is a strong tool, and it is explicitly built for people who want to understand and maintain their own workflows.

What EinfachAI is

EinfachAI is not a platform vendor but the work of a single senior developer with 15 years in complex IT architectures and around ten years in e-commerce, eight of them with Shopware. I have worked with agentic AI since 2023 and deliberately favour clearly defined workflows over all-powerful agents that are meant to do everything at once.

In practice that means two things. First, I connect isolated legacy systems or supplier data sources via autonomous browser and desktop agents wherever the vendor's own interfaces are missing, locked, or uneconomical. Second, specialised internal assistants take over routine work such as extracting invoice and product data from unstructured PDFs straight into your system.

There is no agency layer in between: you talk to the person who writes the code.

When n8n is the better choice

  • Your processes run through standard SaaS. CRM, mailing, spreadsheets, ticketing: those integrations exist as ready nodes and are wired up in hours.
  • Your team wants to keep building. If a business unit should be able to change workflows on its own, a canvas-based platform is the right foundation rather than a developer you have to ask each time.
  • You want full control of operation and data. Self-hosting with open source gives you that control without licence costs.
  • Volume is high and steps are stable. Paying per execution rather than per step is cheaper for long, frequently running workflows.

When a developer is the better choice

  • The systems you must connect have no usable API. This is exactly where platforms regularly stop: portals without interfaces, legacy systems, or vendors who lock access down.
  • Your data is unstructured. Invoices, delivery notes, product data sheets as PDFs — that is extraction and validation work, not a standard integration.
  • The integration has to go deep. ERP, PIM and inventory interfaces in the Shopware world require system understanding, not just an HTTP node.
  • It is about structure, not a one-off fix. When data models, error handling and maintainability need to be built properly, that is development work.

Technical differences that matter in practice

Question

n8n

EinfachAI

Extensibility

Custom nodes and code nodes; the platform stays the foundation

Own codebase, no platform frame

Error handling

Standard paths, retry logic, execution log on the canvas

Built per system, including escalation to a human

Documentation

The workflow is the documentation

Handover documentation plus documented code

Maintenance

Your team, via platform updates

Changes in your own code

What this means for the DACH mid-market

Both routes are viable for mid-sized companies — the choice comes down to staffing. A team with technically interested staff gets visible results quickly with n8n and stays independent. A company without its own development capacity, struggling with locked-down systems, unstructured documents and grown e-commerce infrastructure, needs someone to take the topic over and hand it back.

The realistic path is often a combination: standard stretches on a platform, the difficult edge cases as development work. That is what this comparison is for.

If you are unsure which category your project falls into, clarify it in a first call. For a grounded assessment without a sales pitch, there is the potential analysis.

Frequently asked questions

Is n8n a competitor to EinfachAI?

Only partly. n8n is a platform you run yourself. EinfachAI is development work on systems that a platform cannot solve, or cannot solve economically. In many setups the two complement each other.

Is n8n GDPR-compliant?

When self-hosting, you control storage location and access yourself. For personal data, what matters is which systems the workflow touches and where the processing components run — that holds regardless of the tool.

Can you build on an existing n8n instance?

Yes. If your stack stays and only individual stretches are missing, I build on what exists instead of putting something new next to it.

What do I need to get started?

A list of the systems involved and a clear description of what should run automatically in the end. Details on automation in the Shopware context are under AI automation for e-commerce.

Portrait of Nils Abegg

Written by

Nils

Nils Abegg is a developer with more than 15 years of experience, including around ten years in e-commerce. Since 2023, he has focused on agentic AI and enjoys building practical AI solutions for small and medium-sized businesses.