n8n vs Zapier: A Builder's Honest Review
We have used both n8n and Zapier in production. Not for evaluation purposes — we use them for real automation workloads across different parts of the business. This puts us in a position to give a specific account of where each tool performs well and where each one creates problems, based on the kinds of workflows that actually matter for a small technical operation rather than the comparison frameworks that most reviews use.
This is not a feature matrix comparison. Those exist in abundance and are mostly accurate at the surface level. This is about the decisions that are not obvious from a feature list: what running n8n in production actually costs in operational time, where Zapier’s architecture limits what you can build, and how the cost difference plays out when workflows grow beyond the toy examples in each platform’s marketing material.
Context: What We Actually Run
On n8n, we run: webhook-triggered data processing workflows, scheduled jobs that pull from external APIs and write to our database, internal notification workflows that aggregate signals from multiple sources, and a set of longer-running workflows with branching logic and error handling paths. Most of these run on our self-hosted n8n instance on a Hetzner VPS, deployed via Docker Compose alongside our other services.
On Zapier, we run: simpler integrations between third-party SaaS tools where we do not control either endpoint, and workflows that need reliable access to Zapier’s library of first-party integrations for services that lack a stable public API or where the Zapier integration handles OAuth flows we do not want to maintain ourselves.
The division is intentional. It reflects where each tool is actually better, which we arrived at through trial and error rather than upfront design.
n8n: What Works
n8n’s execution model is fundamentally different from Zapier’s. In n8n, a workflow is a directed graph where each node receives the full output of the previous node and can transform, branch, or aggregate it. You can write JavaScript expressions inline, use full code nodes for complex transformations, and implement retry logic, loops, and sub-workflows. This is much closer to writing code than to configuring a trigger-action sequence.
For workflows that process data — filtering, reshaping, joining records from multiple sources — n8n is genuinely better than Zapier. The ability to see intermediate node outputs while building a workflow, to pause execution at any node and inspect the data, and to re-run a workflow from a specific node rather than triggering it from the start all reduce the iteration time significantly.
Self-hosting eliminates per-execution pricing. For workflows that run frequently or process large volumes of events, this is a meaningful cost difference. A workflow that processes several thousand events per day is essentially free on self-hosted n8n once the infrastructure cost is factored in; the same workflow on Zapier’s paid tiers would require a higher plan tier with meaningful monthly cost.
The webhook endpoint behaviour is robust. n8n webhooks remain active between deployments if you manage the lifecycle correctly, and the platform handles high request rates without dropping events, provided your infrastructure is sized appropriately. We have operated webhooks at sustained rates that would be expensive on Zapier and had no reliability issues with a properly configured deployment.
n8n: The Operational Burden
But in reality, self-hosting n8n is not free infrastructure management. The operational overhead is real and often underestimated.
Upgrades require attention. n8n releases frequently and minor versions sometimes introduce breaking changes in workflow behaviour or API output formats. We do not run automatic upgrades; we test on a staging instance first. This adds process overhead that managed SaaS tools do not require.
The execution data storage grows. n8n stores execution logs in the database by default. Without a pruning configuration, this grows unboundedly. We hit the “existing execution data is too large” error in production before we implemented proper pruning settings and moved to external binary data storage. The fix is documented and available, but it requires knowing to look for it and making configuration changes that are not enabled by default.
Webhook URLs are tied to your domain and SSL configuration. If your domain or SSL setup changes, all external services pointing to your n8n webhooks break. This is obvious in principle but easy to overlook when renewing certificates or migrating servers. We maintain a registry of all external webhook registrations so we can update them systematically rather than discovering the break when a workflow stops firing.
When n8n is down — for maintenance, an upgrade, or an unexpected crash — workflows do not execute and webhooks are not received. For workflows where missed executions are acceptable, this is fine. For workflows where every event must be processed, you need either a queueing layer in front of the webhook or a managed option with SLA guarantees. n8n’s cloud offering provides this, but at that point the cost advantage of self-hosting narrows considerably.
Zapier: What Works
Zapier’s integration library is extensive. For connecting two third-party SaaS tools where both have Zapier integrations, the setup time is genuinely minutes. The integrations handle OAuth, API version management, pagination, and rate limiting transparently. You do not need to read the API documentation for either service; you configure the fields and Zapier handles the rest.
This is the correct tool for the pattern: “when X happens in service A, do Y in service B.” CRM events triggering email sequences, form submissions creating records in a project management tool, payment events updating a spreadsheet — these are flows where Zapier is reliable, fast to set up, and cheap to operate at low to moderate volumes.
The managed infrastructure also means Zapier handles reliability concerns that you would otherwise own. Retry logic on failed steps, dead-letter queuing for events that could not be processed, and uptime that is not your operational responsibility are meaningful benefits when the alternative is maintaining your own service. We have had Zapier workflows running unchanged for over a year without any maintenance on our side.
Zapier: Where It Falls Short
Zapier’s execution model is linear. Each step receives the output of the previous step. There is branching with Paths, but the branching is shallow — you cannot implement a loop, a retry with backoff, or conditional logic that feeds back on itself. For workflows with any real algorithmic complexity, you will reach the limits of what Zapier can express without either splitting the workflow across multiple zaps or offloading complexity to a webhook endpoint that you maintain separately.
The pricing model penalises volume. Zapier’s plans are priced per task, where a task is roughly one step execution. A workflow with five steps that runs a thousand times per month uses five thousand tasks. At higher volumes and higher step counts, the monthly cost on Zapier’s business tiers becomes significant. This cost is not always visible at the start of a project — it emerges as usage grows — and moving off Zapier at that point means rebuilding workflows elsewhere.
Data handling is limited. Zapier stores a small amount of data in each step output, but it is not a data processing environment. If you need to join two API responses, aggregate values across multiple records, or transform nested JSON structures, you are writing code in a Code step, which requires a Zapier plan that includes Code step access. At that point, the no-code proposition has partially dissolved and you are writing JavaScript inside a constrained execution environment rather than in a tool designed for it.
Cost at Scale: The Honest Calculation
The cost comparison between self-hosted n8n and Zapier depends heavily on your execution volume and workflow complexity. At low volume and low complexity, Zapier is often cheaper when you account for engineering and operational time. A Zapier workflow you set up in an hour and never think about again has a lower total cost than a self-hosted n8n deployment that requires hours of setup and ongoing maintenance.
The calculation inverts at higher volumes. Once you are processing enough events that Zapier’s task-based pricing becomes meaningful relative to a VPS cost, self-hosting becomes financially attractive. The crossover point depends on your specific workflow step counts and execution frequency, but it is typically somewhere in the range of tens of thousands of task executions per month.
Complexity also shifts the calculation. Workflows that require looping, code execution, sub-workflows, or complex data transformation are expensive to express in Zapier and natural to express in n8n. For this category of workflow, the engineering time saved by using n8n outweighs the operational overhead, independent of the cost comparison.
When to Use Each
Use Zapier for: connecting two SaaS tools that both have first-party Zapier integrations, simple trigger-action flows where reliability and zero maintenance matter more than flexibility, and situations where the people configuring automations are not comfortable with a code-adjacent interface.
Use n8n for: workflows with algorithmic complexity that Zapier cannot express, high-volume event processing where task-based pricing is prohibitive, integrations with internal APIs or databases that Zapier cannot reach, and operations where the ability to inspect and debug intermediate execution state matters for reliability.
The choice is not permanent. We have migrated workflows from Zapier to n8n as their complexity grew, and we have left simple workflows on Zapier rather than migrating them for the sake of consolidation. The right answer is to use each tool for what it is actually good at, rather than committing to one platform and forcing everything through it.