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AI & Automation

n8n Automation Services

Self-hosted or cloud, with queue mode for volume and custom nodes for the one system the built-in connector list leaves out.

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How we work

n8n's node-based workflow builder ships with a wide connector library, but three decisions determine whether an installation holds up: self-hosting or n8n Cloud, how credentials are stored and scoped, and whether a single-instance setup should move to queue mode before volume outgrows it. Our n8n automation services cover all three, along with custom node development in TypeScript for systems that have no connector at all.

Self-hosting n8n puts workflow data and credentials on infrastructure you control, which matters for businesses with data residency requirements or a preference for not routing operational data through a third party's cloud. It also means your team owns the update cycle, database backups and uptime, which n8n Cloud handles for a subscription fee instead. We help clients make that call against their actual operational capacity rather than a general preference either way.

n8n is fair-code licensed, not open source in the OSI sense: the source is visible and self-hosting for internal use is unrestricted, but the license specifically prohibits offering n8n itself as a competing hosted automation service to others. That distinction rarely affects a business automating its own workflows, but it is worth understanding before an organization plans to build a product around reselling n8n's engine to its own customers.

Fit

When n8n is the right choice, and when it is not

Good fit

  • Workflows need to reach a system without a native connector on a simpler no-code platform, since n8n's custom node framework and built-in code steps (JavaScript or Python) cover gaps that stop a purely no-code tool
  • Data residency, cost at high volume, or a preference for not sending operational data through a third party makes self-hosting worth the operational overhead compared to a fully managed platform
  • Workflow volume is high enough, many concurrent executions, high-frequency triggers, that a single-instance setup risks becoming a bottleneck and queue mode's separated workers and Redis-backed queue are worth the added infrastructure
  • The team wants visual workflow structure for most of a process but the flexibility to drop into actual code for the steps a drag-and-drop builder cannot express cleanly

Consider something else

  • The team has no capacity to maintain self-hosted infrastructure, updates, backups, uptime monitoring, and would rather pay for a fully managed platform than take on that operational responsibility; n8n Cloud or a simpler SaaS automation tool fits better here
  • Workflow needs are genuinely simple, a handful of triggers connecting well-supported apps, where a lighter no-code tool gets the same result with less setup and no infrastructure to manage at all
  • The organization plans to build and sell automation-as-a-service to its own customers using n8n as the underlying engine; the fair-code license's restriction on that specific use case needs review before committing to n8n as that foundation
  • Non-technical staff need to build and maintain workflows entirely without engineering support; n8n's flexibility assumes some comfort with technical concepts once a workflow goes beyond basic trigger-action chains

What we build

What we build with n8n

  • Self-hosted deployment

    n8n deployed on infrastructure you control, with database, backup and update strategy configured around your data residency and operational requirements rather than a managed platform's defaults.

  • Queue mode for scale

    A queue-mode setup separating the main process from worker instances through a Redis-backed queue, so workflow execution scales horizontally instead of bottlenecking on a single instance under load.

  • Custom node development

    Nodes written in TypeScript for systems without an existing connector, packaged so they appear in the workflow editor alongside n8n's built-in nodes rather than living outside the platform as separate scripts.

  • Credentials security

    Credential storage configured with encryption at rest and access scoped to the workflows that need it, plus a review of which credentials a given workflow can actually reach.

  • Workflow migration from Zapier or Make

    Existing Zapier or Make automations rebuilt in n8n, usually to remove per-task pricing at volume or to reach a system the source platform's connector library does not support.

  • Error handling and monitoring

    Error workflows and execution monitoring configured so a failed run alerts a person and, where appropriate, retries automatically instead of failing silently.

Ecosystem

Libraries and tools we pair it with

  • n8n (self-hosted or Cloud)
  • Redis for queue mode
  • PostgreSQL for the workflow database
  • Docker for self-hosted deployment
  • TypeScript for custom node development

Self-hosted n8n versus n8n Cloud

Self-hosting puts the database, credentials and execution history on infrastructure your team controls, which matters for organizations with data residency requirements or workflows that touch sensitive records they would rather not route through a third party's servers. It also shifts responsibility for updates, backups and uptime onto whoever runs that infrastructure, which n8n Cloud, n8n's own managed offering, otherwise handles for a subscription fee.

We recommend self-hosting for teams with the operational capacity to own that infrastructure and a specific reason, cost at high volume, data control, to want it. We recommend n8n Cloud for teams that want the platform's flexibility without taking on server maintenance, especially early on before workflow volume justifies the switch.

Queue mode for scale

A default n8n installation runs as a single process handling both the editor interface and workflow execution, which works well until execution volume climbs high enough that long-running or high-frequency workflows start competing with each other for the same resources. Queue mode splits this: a main instance handles the editor and webhook intake, while separate worker processes pull jobs from a Redis-backed queue and execute them, so workers can scale horizontally as volume grows.

We set up queue mode when a client's workflow volume or execution time makes a single instance a real bottleneck, not as a default configuration for every installation, since it adds infrastructure (Redis, multiple worker processes) that a lower-volume setup does not need.

  • A single instance handles editor and execution together, fine at moderate volume
  • Queue mode separates workers from the main process through a Redis-backed queue
  • Worth the added infrastructure once execution volume or workflow duration creates real contention

n8n versus Zapier and Make

Zapier and Make cover the most common SaaS integrations with the least setup, priced per task or per operation, which works well at low to moderate volume. n8n's node-based editor supports the same kind of trigger-action workflows but adds direct code steps (JavaScript or Python) inside a workflow and custom node development for systems neither Zapier nor Make supports natively, plus the option to self-host and avoid per-task pricing entirely at high volume.

The practical choice usually follows technical capacity and volume rather than a general preference: a team with light automation needs and no engineering support gets to a working result faster on Zapier or Make, while a team with higher volume, custom system requirements, or an engineering function already in place gets more long-term value and lower marginal cost from n8n.

Fair-code license and what it actually restricts

n8n's source is publicly visible and free to self-host for internal automation, which covers the overwhelming majority of how businesses actually use it. The fair-code license specifically restricts using n8n's own engine to offer a competing hosted automation service to third parties, a narrow case that does not apply to a business automating its own internal or customer-facing workflows.

We flag this distinction when it is relevant, a client considering building a product around n8n as the underlying automation engine, and otherwise treat it as a non-issue for the standard case of a business running its own workflows.

FAQ

Questions about n8n

Should we self-host n8n or use n8n Cloud?

Self-host if you have the operational capacity to manage updates, backups and uptime and a specific reason, data residency or cost at high volume, to want that control. Use n8n Cloud if you want the platform's flexibility without taking on server maintenance, particularly before your workflow volume is high enough to justify the switch.

When does an n8n installation need queue mode?

When execution volume or workflow duration is high enough that a single instance handling both the editor and execution becomes a bottleneck, long-running workflows competing with new triggers for the same resources. Queue mode separates worker processes from the main instance through a Redis-backed queue so workers scale independently, but it adds infrastructure a lower-volume setup does not need.

Can n8n connect to a system that has no existing integration at all?

Yes, through a custom node written in TypeScript, which packages the integration so it appears in the workflow editor like any built-in node, or through n8n's direct code steps for a one-off case that does not need a reusable node. This is a common reason to choose n8n over a purely no-code platform when a workflow needs to reach an internal or less common system.

Is n8n really free, and what does the fair-code license actually restrict?

Self-hosting n8n for your own automation, internal or customer-facing, is unrestricted and free. The fair-code license specifically prohibits using n8n's engine to offer a competing hosted automation service to third parties, which is a narrow case that does not affect a business automating its own workflows.

Is n8n better than Zapier or Make for our use case?

It depends on volume and technical capacity. Zapier and Make get a straightforward integration running faster with less setup, priced per task. n8n adds direct code steps and custom node development for systems the others do not support, plus the option to self-host and avoid per-task pricing at high volume, at the cost of more setup and, for self-hosting, ongoing infrastructure responsibility.

How do you secure credentials in a self-hosted n8n instance?

Credentials are stored encrypted at rest, and we scope which workflows and users can access which credentials rather than leaving every credential available to every workflow by default. For a self-hosted instance, this also means securing the underlying database and restricting network access to the instance itself.

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