EthosPowerAI
Why self-hosting decides this comparison
The automation platform under an AI pipeline decides how much of the pipeline you own. This site's lead capture, blog publishing and calculator exports run on nine n8n workflows, on a server I control. What I say about n8n is therefore first-hand. I have used Zapier and Make enough to know how they work. The figures I quote for them come from their own published pricing and plan limits. I have not run either for a client.
That difference matters, because my case for n8n is not that the other two are bad products. They are hosted products, and a pipeline that handles a client's documents cannot run through another company's server.
Five things worth comparing
Self-hosting comes first. For a regulated client it is the only point that cannot be negotiated. Four more follow. How well does the platform understand a language model, beyond simply calling one? What does it cost at the volumes that a document-loading pipeline produces? How complex a workflow can it express before you are fighting the builder? Where does the data go while the workflow runs? A count of features answers none of these.
n8n, the one I run
n8n runs on a small VPS. It handles everything from a webhook that loads documents into Qdrant to a multi-step process across ERPNext, Listmonk and a local model. Every run appears in a log that I can read.
Its deciding feature is the code node. When a no-code block does not do what a step needs, I write the step as a few lines of JavaScript or Python in place. Pure no-code tools have a ceiling, and n8n does not reach it. A pipeline often has to fill in a prompt, parse the model's reply and branch on the result. With the code node, n8n can do that.
The AI nodes
The AI nodes have turned n8n from a tool that connects systems into one that can direct an AI task. The AI Agent node runs a multi-step task with a set of tools that you configure. It keeps conversation memory through a session and makes the model's output follow a JSON schema. The chain nodes cover a plain prompt and response, question answering over a vector store, and summarising. The extractor nodes handle sentiment, entity extraction and classification without custom parsing. The Vector Store Tool lets an agent query Qdrant or Weaviate while it reasons.
The weak point is the documentation. The edge cases are worked out on the community forum, not in the manual.
Zapier, when speed beats control
Zapier's strength is the time to a first result. A workflow can be running in a quarter of an hour. With more than 7,000 integrations, the connector you need is almost always there. For marketing automation, CRM sync and notifications it is still the fastest route, and nothing below says otherwise.
The limits appear with AI work. There is no self-hosting, and you cannot see how a run executes. Most plans cap a workflow at a hundred steps. The price rises with the number of tasks, so a pipeline that runs tens of thousands of tasks a month costs more each month than the server that runs n8n indefinitely. Zapier's AI actions handle a prompt and a reply. There is no agent with tools, no vector store and no memory.
Make, the visual middle
Make sits between the two. Its scenario builder is the best of the three at making branching logic easy to read, and its published pricing is lower than Zapier's at comparable volumes. It is still hosted only. For a regulated client, or for anyone putting personal data through a pipeline, that settles the question before the builder is opened.
Make's HTTP module and JSON parsing are strong enough for custom model calls. It has no code nodes and no agent building block, so every AI step is a hand-built request with no memory, no tool use and no structured output.
The verdict
Choose n8n when the data must stay on your own infrastructure, when the workflows will grow beyond what a visual builder can express, or when the design includes an agent with tools and memory. It is what runs this site and what I install for clients. Choose Zapier when a wide range of integrations and a fifteen-minute setup matter more than control, and the workflows are simple enough to fit its limits. Choose Make for the builder and the price, if hosting elsewhere is acceptable. For an AI pipeline in a regulated business, only the first answer works.
The workflows behind this site are drawn on the solutions page.