n8n vs Zapier

Pricing is where n8n and Zapier differ most, and where the wrong choice becomes expensive fastest. Zapier meters on "tasks" — each action a Zap performs counts as one task. A single automation that enriches a lead, updates a CRM, posts to Slack and sends an email consumes four tasks per run. At a few hundred runs a month this is trivial. At tens of thousands of runs, per-task pricing compounds: a workflow firing 50,000 times a month across four steps is 200,000 tasks, which pushes you into Zapier's higher tiers costing several hundred dollars monthly and rising with every new step you add.

n8n inverts this model. Self-hosted n8n has no per-task fee at all — you pay only for the server it runs on, typically a $10–$40/month VPS for small-to-mid volumes. A workflow that runs a million times costs the same to license as one that runs a hundred times; the only variable is compute. n8n Cloud (the managed option) charges a flat monthly fee based on active workflow executions rather than individual task steps, so adding steps to a workflow does not multiply the bill.

The practical implication: below roughly 1,000–2,000 runs a month, Zapier and n8n Cloud cost about the same, and Zapier is faster to stand up. Above that threshold — especially for multi-step workflows or anything running on a schedule every few minutes — self-hosted n8n is frequently 60–90% cheaper on a fully loaded annual basis, even after accounting for the engineering time to run it. The break-even point is not a feature; it is a volume calculation, and it is the single most important number to establish before choosing.

Zapier is cloud-only. Every payload your automations touch — customer records, invoice data, support messages, API credentials — passes through and is processed on Zapier's infrastructure, predominantly in the United States. For many businesses that is perfectly acceptable and covered by Zapier's Data Processing Agreement and security certifications. For businesses handling regulated data, EU personal data under GDPR, or contractually sensitive client information, "our automation vendor processes this in another jurisdiction" is a compliance question that has to be answered on every audit.

n8n self-hosted removes the question entirely. When you run n8n on your own server — in your own cloud region or on-premise — customer data, credentials and workflow logic never leave infrastructure you control. There is no third-party processor in the data path, which makes GDPR data-residency requirements straightforward to satisfy and simplifies DPAs, SOC 2 scoping and internal security review. You hold the encryption keys, you set the access controls and you own the audit logs.

This is the deciding factor for a large share of enterprise deployments. If a workflow moves personal, financial or health data and you operate under GDPR, HIPAA-adjacent expectations or a client contract that restricts sub-processors, self-hosted n8n is often not just preferable but required. Zapier remains viable when the data is non-sensitive or when you have already accepted a US-based processor elsewhere in your stack.

Zapier's model is fundamentally linear: a trigger fires, then a sequence of actions runs. It supports Paths (conditional branches) and Filters, but deep nesting, loops over arrays, sub-workflows and complex fan-out quickly hit the ceiling of what is comfortable to build and maintain. Once an automation needs to branch three levels deep, iterate over a variable-length list and merge results, Zapier workflows become sprawling and hard to reason about.

n8n was designed around a node graph rather than a linear sequence. Branching, merging, looping over items, calling sub-workflows and running steps in parallel are first-class. You can drop in a Code node to run arbitrary JavaScript or Python mid-workflow, transform data structures, and route based on computed conditions. This is the difference between "connect app A to app B" and "orchestrate a business process" — n8n handles genuine process logic that would require a developer and a custom service if attempted in Zapier.

Error handling follows the same pattern. Zapier offers basic automatic retries and will email you when a Zap fails. n8n provides dedicated error workflows — a separate workflow that runs whenever any monitored workflow throws — plus configurable retry policies per node, conditional error routing and the ability to build alerting, dead-letter queues and compensation logic. For anything business-critical, where a silent failure has real cost, n8n's error model is materially more robust.

AI is where the gap has widened most in the last two years. Zapier offers an OpenAI integration and some AI-assisted features, but each AI call is a discrete step in a linear Zap, which makes multi-turn reasoning, tool use and agentic patterns awkward to assemble. It is well suited to "summarise this text" or "classify this email," less so to "read this document, decide which of five actions to take, then execute it."

n8n ships native LLM nodes for OpenAI and Claude and includes AI Agent and chain-style nodes that let you build retrieval-augmented generation (RAG), tool-calling agents and multi-step reasoning directly inside a workflow. You can give an LLM node access to other workflow steps as tools, connect a vector store for retrieval, and keep the entire pipeline — including the sensitive data the model sees — on your own infrastructure. For teams building AI-powered automation rather than bolting a single AI call onto a rule-based flow, this is a decisive advantage.

This matters because the highest-ROI automations increasingly combine deterministic steps with AI judgment: extract fields from an unstructured invoice, have an LLM decide the approval path, then run a rule-based routing workflow. n8n handles that hybrid natively. In Zapier it is possible but constrained. If AI is central to your roadmap, it pushes the decision firmly toward n8n.

For GDPR and data-residency obligations, self-hosted n8n is the stronger position because it removes the third-party processor from the data path entirely. When n8n runs in your own EU region or on-premise, personal data, credentials and workflow logic never leave infrastructure you control — so there is no cross-border transfer to justify, no sub-processor to add to your Record of Processing Activities, and no dependence on a vendor DPA to demonstrate compliance. You hold the encryption keys and own the audit logs.

Zapier is cloud-only and processes automation payloads on its own infrastructure, predominantly in the United States. That is lawful and common — it is governed by Zapier's Data Processing Agreement and Standard Contractual Clauses — but it does make Zapier a sub-processor for every regulated dataset your workflows touch. Under GDPR that means a cross-border transfer assessment, an entry in your processor register, and a compliance answer you have to re-defend on each audit. For non-sensitive data this is rarely a blocker; for EU personal data, financial records or contractually restricted client information, it frequently is.

The practical rule: if your workflows move regulated personal data and you operate under GDPR, self-hosted n8n makes residency and sub-processor questions disappear rather than answering them. If your data is non-sensitive, or you have already accepted a US-based processor elsewhere in your stack, Zapier's DPA is usually sufficient and the operational simplicity of a managed cloud may outweigh the residency benefit.

The headline "self-hosted n8n is free" is only half the story — the honest comparison is total cost of ownership, not licence cost. n8n self-hosted has no per-task fee and no seat pricing; you pay for the server it runs on, typically a $10–$40/month VPS for small-to-mid volumes, plus a managed database if you outgrow the bundled one. Against that you have to price the operational overhead: initial deployment, updates every few weeks, backups, monitoring and the occasional incident. For most teams that is a few hours a month once the instance is stable — real, but modest, and fixed regardless of how many times your workflows run.

Zapier Cloud carries no infrastructure or maintenance burden, which is its genuine advantage, but its cost is variable and step-multiplied. Because Zapier bills per task — every action in every run — a four-step workflow firing 50,000 times a month is 200,000 tasks, pushing you into tiers that run several hundred dollars monthly and climb with every step you add. Your bill grows with success; the more your automations do, the more each run costs.

Netting it out: below roughly 1,000–2,000 runs a month the two are close, and Zapier's zero-maintenance model often wins outright. Above that — especially for multi-step or high-frequency workflows — self-hosted n8n is frequently 60–90% cheaper on a fully loaded annual basis even after you cost in the engineering time to run it, because the server bill stays flat while Zapier's task bill compounds. The break-even is a volume calculation specific to your workflows, which is exactly what the cost calculator below is for.