n8n vs Trigger.dev

n8n suits teams that want a visual canvas and integrations for business workflows. Trigger.dev suits engineering teams that want retries, queues and long-running TypeScript tasks inside their application code.

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n8n vs Trigger.dev: when each one is the right choice

Choose n8n when the people who own the integration work are comfortable building on a visual canvas and most of the logic connects business applications and APIs. Its canvas combines with custom JavaScript or Python code and advertises more than 1,500 integrations, so operations or automation teams can change flows without shipping application releases. Choose Trigger.dev when the background work belongs to your engineers: long-running TypeScript tasks with retries, queues and concurrency controls that sit beside the application code. Four questions settle most shortlists: who builds and maintains the workflows, whether that logic should live in your application repository and pass through its review and release process, which license terms your organization must accept, and which Trigger.dev features you need that run only on Trigger.dev Cloud.

The license is often decisive. n8n is licensed under the Sustainable Use License, which permits use or modification only for your own internal business purposes or for non-commercial or personal use, and distribution only free of charge for non-commercial purposes. Files with .ee in their name require a valid n8n Enterprise License. Have counsel read the n8n LICENSE.md against your plans before you build a product for customers on top of it. Trigger.dev is listed under Apache-2.0 in its GitHub repository. Confirm that terms apply to the exact components you deploy before you treat the two platforms as equivalent on licensing.

Check the Cloud-only list early. Trigger.dev's self-hosting overview says warm starts, auto-scaling, checkpoints and dedicated support are available only on Trigger.dev Cloud, while community support and ARM deployments are available on both. If your workload depends on auto-scaling or dedicated support, a self-hosted deployment will not provide them, so you must plan capacity and on-call coverage yourself. A self-hosted Trigger.dev installation splits into a webapp (the dashboard, Redis and Postgres) and a worker (the supervisor and the runners that execute tasks), and Docker Compose and an official Helm chart are documented. Ask your platform team to run a proof of concept of your heaviest workload on each path and compare run history, retry behavior and operating load against the features production requires.

Which platform fits which team scenario

Each row is an illustrative team profile with the platform that usually fits better, based on who builds the logic, where it lives and which license governs it. Read the reasons column alongside the license column, because a fit can change if the team's use falls outside the Sustainable Use License or Trigger.dev's self-hosting limits.

Team scenario (illustrative)Better fitWhy
Business operations automating SaaS tools with no developers on the teamn8nOperations staff build flows on a visual canvas with more than 1,500 integrations. The logic lives in n8n's workflow editor, so it does not need a deployment pipeline or code review.
Engineers adding durable background jobs to a TypeScript productTrigger.devTasks are written with the TypeScript SDK inside the application repository and are versioned and deployed with it. Retries, queues and long-running tasks without timeouts are part of the task model.
Product team running AI-related long-running tasks such as document processing or agent stepsTrigger.devLong-running tasks, waitpoints for human-in-the-loop steps and per-run tracing fit code-owned pipelines. Confirm the features you need against the current self-hosting overview, since some capabilities differ between Cloud and self-hosted.
Regulated team that must keep all automation internal and avoid any external serviceNeither without reviewThe Sustainable Use License permits internal business use, but n8n's SSO, Git environments and log streaming need the paid Business or Enterprise plans. Trigger.dev is Apache-2.0, yet warm starts, auto-scaling and checkpoints are Cloud-only. Confirm each feature in your own environment.
Company that wants to embed the automation engine inside a commercial product it sellsTrigger.devThe Apache-2.0 license is generally more permissive for embedding than the Sustainable Use License, which limits use to internal business or non-commercial purposes. Have counsel confirm the terms before deciding.
Team with mixed skills where analysts and engineers share the same automationsn8nThe canvas lets non-developers read and edit flows, while custom JavaScript or Python steps cover code-heavy logic. Expect engineers to own credential handling and queue mode setup.
Platform team that needs self-hosted deployment on Kubernetes with an official chartTrigger.devTrigger.dev documents Docker Compose and an official Helm chart, and splits the deployment into a webapp and a worker. Confirm your cluster's sizing and monitoring needs with the vendor documentation.

How n8n and Trigger.dev are built and deployed

Both platforms can be self-hosted, but they split their runtime differently. n8n centers on one main instance that can scale out through Redis and workers, while Trigger.dev separates a webapp from a worker that executes your tasks. The cards below show which parts you must run, which secrets must be shared, and where data lands in each design.

n8n main instance and encryption key

In queue mode, the main instance still handles triggers and webhooks, so it must stay reachable and healthy even when workers are idle. Its encryption key must also be shared with every worker and webhook processor, because those processes read credentials stored in the database. Check how you will distribute and rotate that key before you scale out, since a mismatch will break credential access on workers.

Redis and workers in queue mode

In queue mode the main instance passes executions through Redis to a pool of workers, which read and write workflow data in PostgreSQL. Redis is therefore a runtime dependency you must operate, monitor and secure, not just a cache. Running queue mode on SQLite is not recommended, so plan for PostgreSQL from the start if you expect to scale.

Trigger.dev webapp: dashboard, Redis and Postgres

The Trigger.dev webapp bundles the dashboard with its own Redis and Postgres. Those stores hold run state, tracing and configuration, so backup, retention and access control for them are your responsibility. Confirm how the dashboard is exposed and who can reach it, since it is the control surface for your tasks.

Trigger.dev worker: supervisor and runners

The Trigger.dev worker contains the supervisor and the runners that execute your TypeScript tasks, so this is where your application code actually runs. Size and isolate it as the compute layer that executes customer or business workloads. Ask how runners are scaled and how the worker reports back to the webapp when a run fails.

Docker Compose or the Helm chart

Trigger.dev documents self-hosting with Docker Compose and with an official Helm chart for Kubernetes. Compose suits a single host with a small operations footprint, while the Helm chart fits teams that already run Kubernetes and want the webapp and worker managed as cluster workloads. n8n is likewise deployable as a container, but its queue mode layout is what drives the multi-service picture. Choose the deployment method your platform team can patch and back up.

Where data lives in each design

In n8n, workflow definitions, credentials and execution results sit in the database, while the encryption key protects stored credentials. In Trigger.dev, run data and tracing sit in the webapp's Postgres and Redis, and your task code stays in your own repository. Before you choose, map each data category to a backup policy, a retention decision and an owner, and confirm with each vendor which records contain personal data.

How n8n and Trigger.dev compare on the features that decide the choice

This table compares n8n and Trigger.dev on the features that usually decide a shortlist, from how workflows are authored to which capabilities exist only on Trigger.dev Cloud. Read each row against your team's build model and hosting plan, and treat any cell that says to confirm as a question for the vendor. The main takeaway is that n8n fits teams that want a visual canvas and paid tiers for identity and high availability, while Trigger.dev fits developers who keep background work in code.

Featuren8nTrigger.dev
Authoring model and buildersVisual canvas combined with custom JavaScript or Python code, built by workflow builders and developersTypeScript or JavaScript tasks written in the application codebase with the SDK, built by developers
IntegrationsAdvertises more than 1,500 integrations; confirm the specific systems you needIntegrations are written as code with the SDK; confirm any prebuilt connectors you expect
Retries, queues and timeoutsConfirm retry, queue and timeout behavior per workflow and worker capacity in queue modeRetries, queues and concurrency controls, with long-running tasks that have no timeouts
Scheduling and human-in-the-loop waitsTimers run on the main instance in queue mode; confirm wait-for-input options with n8nDurable cron schedules, plus waits and waitpoints for human-in-the-loop steps
EnvironmentsEnvironments with Git version control are included in Business and Enterprise plansDevelopment, Staging, Preview and Production environments
Self-hosting componentsMain instance, Redis and worker processes, with PostgreSQL as the database in queue modeWebapp with dashboard, Redis and Postgres, plus a worker with a supervisor and runners
Identity (SAML and SSO)SAML single sign-on on Business and Enterprise plans; SSO and LDAP listed for those plansConfirm SSO options for self-hosted and Cloud accounts before you commit
High availabilityMulti-main setup is Enterprise self-hosted only, not available in Community or CloudConfirm the high-availability design for self-hosted webapp and worker components with the vendor
Cloud-only featuresHosted Cloud plans exist, and the Business plan is self-hosted only; confirm features per planWarm starts, auto-scaling, checkpoints and dedicated support are available only on Trigger.dev Cloud

What the license and editions allow and what is paid for

n8n is licensed under the Sustainable Use License, a fair-code license rather than an OSI open source license. It permits use and modification only for your own internal business purposes or for non-commercial or personal use, and distribution only free of charge for non-commercial purposes. Read the full n8n LICENSE.md against your intended deployment before you commit, because a service you run for customers or resell is the case most likely to fall outside the grant.

  • Internal business use: Running n8n to automate your own company's processes falls within the stated purposes, which is the case most regulated teams start from.
  • Non-commercial and personal use: Research, personal and other non-commercial projects are covered by the same grant.
  • Distribution: Free-of-charge distribution is limited to non-commercial purposes, so shipping n8n inside a paid product or hosted offering needs a separate review.
  • `.ee` files: Files with .ee in their name or directory are not covered by the Sustainable Use License and require a valid n8n Enterprise License, so check which code paths your team enables.
  • Modifications: Changes you make to the code fall under the same limits, so an internal fork still needs to match the permitted purposes.

Ask your legal counsel to review the license text against your hosting model, including any managed service you plan to offer to third parties.

What drives the running cost of each platform

For n8n, the Community edition has no license fee, but the running cost is the infrastructure and people that keep it alive. In queue mode, the main instance handles triggers and webhooks, Redis carries execution IDs, and workers run executions and write results to the database. That means you pay for four capacities that scale separately: the main instance, Redis, the database and the worker pool. The queue mode documentation recommends against SQLite for this setup, so a PostgreSQL database you operate is a recurring line item. If you need SSO or Git-based environments, the n8n pricing page places those in the Business and Enterprise plans. It lists Business at 667 euros per month billed annually and self-hosted only. Confirm current figures on that page before you budget.

Trigger.dev's self-hosted footprint splits into a webapp that includes the dashboard, Redis and Postgres, and a worker that includes the supervisor and the runners that execute tasks. Under Apache-2.0 there is no license fee for self-hosting, so the recurring cost is compute for both halves, the Redis and Postgres you run, and the engineering time to size runners for your concurrency settings. The self-hosting overview says warm starts, auto-scaling, checkpoints and dedicated support are available only on Trigger.dev Cloud. If your workloads depend on those, self-hosting moves that work onto your team, so price it before choosing. Version lifecycle is a cost too. The same overview says 4.5.0 is the last release that officially runs v3 tasks, and 4.5.1 and later reject v3 triggers and deploys, so any v3 codebase needs migration effort budgeted before upgrading.

Most of the cost is one-time work up front plus recurring operations. One-time items include building the workflows or tasks, wiring SSO, configuring the encryption key so every worker can read stored credentials, hardening, and the first migration. Recurring items include infrastructure, who operates Redis and Postgres along with their backups, upgrades on both platforms, the support tier, and any edition fee, such as n8n Business or Enterprise, or Trigger.dev Cloud if you choose that path. When you request a quote, require the written scope to name the included components, the backup and patching owner for Redis and Postgres, the upgrade cycle covered, the support response included, and the n8n edition assumed for SSO and Git. DeployOpen works from fixed scope agreed in writing before work starts and offers retainers for ongoing support and upgrades, so ask for those as separate lines.

Moving work from one platform to the other

This sequence shows how to move automations between n8n and Trigger.dev in either direction, separating what carries over unchanged from what must be rebuilt as code or canvas flows. It ends with a parallel run and a retirement check so the switch is verified rather than assumed.

  1. Inventory every automation and its dependencies

    Before any build work, list each n8n workflow or Trigger.dev task with its trigger type (schedule, webhook, event or manual), its external systems, its credentials, and the team that owns it. For n8n, export workflows and note which use the Code node, custom JavaScript or Python, or community nodes. For Trigger.dev, note which tasks use waits, waitpoints, queues or checkpointing, since those rely on run state rather than a canvas. The step is done when every automation has one owner and one row in a shared inventory, and anything with no clear owner is flagged for a decision.

  2. Sort what transfers from what must be rebuilt

    Work through the inventory and mark each item as transferable or rebuild. Credentials do not move as files: in either direction you re-enter or re-issue them in the target platform's secret store, and n8n credentials are encrypted with the instance's key, so the key handling must be planned with the security team. Schedules are recreated in the target, not copied. Business logic written as code moves with less friction, since a JavaScript or TypeScript function can often be lifted into a task with its inputs and outputs unchanged. Canvas flows built from integration nodes must be rebuilt as tasks that call the same APIs. The step closes with a signed-off list of what is reused and what is rewritten.

  3. Map trigger and state behavior before rebuilding

    Compare how each automation starts and keeps state. n8n runs workflows on its own triggers and execution history; Trigger.dev tasks run from code and the SDK, with retries, queues and concurrency configured per task. Write down the expected behavior for failures, duplicate events and retries, and confirm it against each platform's documentation rather than assuming parity. Tasks that wait for a human or an external event need an explicit design for the waitpoint or the equivalent pause. The step is complete when each automation has a written behavior note that the reviewer can test against.

  4. Check Trigger.dev v3 tasks against the 4.5.0 note

    If the source work includes Trigger.dev v3 tasks, treat them as a separate migration track. Trigger.dev's self-hosting overview says 4.5.0 is the last version that officially runs v3 tasks, and 4.5.1 and later reject v3 triggers and deploys. Confirm the version your deployment runs, inventory any v3 task code, and plan the upgrade of those tasks to the current SDK with the vendor's migration guidance before changing the runtime. Do not upgrade the runtime while v3 tasks are still scheduled to run. The step closes when every v3 task is either migrated and tested or formally scheduled for retirement.

  5. Build the target automations in a non-production environment

    Rebuild the flagged items in the target platform's test environment. Use Trigger.dev's Development and Staging environments, or a separate n8n instance, so that test credentials and test endpoints are kept apart from production. Reuse the business logic from code where possible and keep the rebuilt canvas or task behavior matched to the behavior notes from the previous step. Record each change in version control or the workflow export history so the rebuild can be reviewed. The step is done when each rebuilt automation has passed a test run that matches the expected inputs, outputs and failure handling.

  6. Run both platforms in parallel with one source of truth

    Keep the original automation active while the new one runs in a limited, observable mode, and decide which platform is the single source of truth for each event. Running both against the same live trigger can cause duplicate side effects in downstream systems, so disable one side for each trigger or route test traffic to the new platform only. Compare run logs, outputs and error rates between the two for an agreed period set by your change process. The step closes when the team signs off that the outputs match and no duplicate actions occurred.

  7. Cut over and retire the old automations

    Switch each trigger to the new platform in the order the inventory set, keeping a documented rollback path that re-enables the original automation. After the cutover period ends without incident, disable the old automations rather than deleting them immediately, and remove stored credentials from the retired platform when the retention window closes. Confirm the retirement with the owners listed in the inventory. The step is complete when no automation runs in two places and the rollback record is archived.

  8. Document the operating knowledge you keep

    Record what the team learned during the move: which logic was reusable, which integration behaviors differed, how each platform's scaling, secrets and upgrade process works, and who now owns each platform. The switching cost is mostly rebuilt logic and the operational knowledge that lives in people's heads, so this record is what reduces the cost of any later move. Ask the vendor or your implementation partner to confirm the support and upgrade terms for the platform you keep, since those are set by your contract and not by this comparison. The step closes when the runbook is reviewed and stored where the operations team can find it.

Where implementation projects for each platform usually run long

On n8n, the longest projects usually stall on hosting shape and credential handling, not on building workflows. Decide early whether a single process is enough or whether you need queue mode, which the n8n documentation describes as a main instance that passes executions through Redis to workers that read and write workflow data in PostgreSQL. Queue mode also means the main instance's encryption key must be shared with every worker and webhook processor so they can decrypt stored credentials. Teams that copy a key between environments, or rotate it without a plan, often find credentials stop working in one process and not another. SSO is the second common overrun. SAML single sign-on sits on the Business and Enterprise plans, so confirm your edition before design starts, then plan the identity provider configuration against n8n's SAML guides for Okta and Azure AD, and test group-to-role mapping with real accounts.

Trigger.dev projects tend to run long in a different place: the application codebase and the deploy pipeline. Tasks are written with the TypeScript SDK inside your own repository, so the work includes wiring tasks into existing services, deciding how secrets reach each environment, and mapping the Development, Staging, Preview and Production environments the README describes onto your release process. For self-hosting, the self-hosting overview splits a deployment into a webapp (dashboard, Redis and Postgres) and a worker (supervisor and runners), and the docs describe Docker Compose and a Helm chart for Kubernetes. Confirm which of those you will operate, who owns Redis and Postgres backups, and whether your team can run the worker tier that executes tasks. Note also that the self-hosting overview says warm starts, auto-scaling, checkpoints and dedicated support are Cloud-only, so any design that assumes them needs a different plan.

Both platforms share one overrun pattern: migration of existing automation. On n8n, rebuilding credentials in a new instance and re-validating webhooks against live systems usually takes longer than expected. On Trigger.dev, moving code that was scheduled elsewhere into tasks, and re-testing retries and concurrency limits, is the equivalent cost. Before you sign a fixed scope, ask the implementer to list every credential, identity integration and deploy target, and to name who approves each change in your environment. Ask for the written acceptance tests for SSO, encryption key handling and failover, since those are where scope disputes most often start.

Questions buyers ask before choosing n8n or Trigger.dev

Can we use n8n commercially inside our company?

Yes, for internal business purposes, but the license is narrower than Apache-2.0 or MIT. n8n's Sustainable Use License allows use and modification for your own internal business purposes or for non-commercial or personal use. Distribution is allowed only free of charge and only for non-commercial purposes, so offering n8n as a hosted service to customers or reselling it falls outside the grant. Files with .ee in their name need a valid n8n Enterprise License. Before you commit, read the full text of the n8n LICENSE.md and ask your legal team to confirm how your planned use, including any customer-facing workflows, maps to it. Trigger.dev is Apache-2.0 licensed, so the licensing question is different for that product.

Does Trigger.dev require Kubernetes for self-hosting?

No. Trigger.dev documents self-hosting with Docker Compose as well as with an official Helm chart for Kubernetes, so the cluster is one option among two. Docker Compose suits a single host or a small set of servers, while the Helm chart suits teams that already run Kubernetes and want its scheduling, scaling and rollout tooling. Either way, the deployment splits into a webapp, which includes the dashboard plus Redis and Postgres, and a worker, which includes the supervisor and the runners that execute tasks. Confirm which path your platform team can operate and back up before you choose, because the operational work follows the path you pick.

How much effort does self-hosting n8n or Trigger.dev take?

The effort depends on how many stateful services you run, how many environments you keep, and who owns upgrades. For n8n in queue mode, you operate a main instance, Redis, workers and PostgreSQL, and you must share the encryption key with every worker and webhook processor so they can read stored credentials. Running queue mode on SQLite is not recommended. For Trigger.dev, you operate the webapp with Redis and Postgres plus the worker with its supervisor and runners. Both need backups, certificate handling, monitoring and version upgrades on a schedule you set. Ask your team to estimate the hours per month for patching and on-call, since no supplied figure gives a reliable number for your environment.

Do we need outside help to deploy either platform?

Not always. A team with experience in Node.js, containers, PostgreSQL and secrets handling can run either platform alone, and that is often the cheaper path when the platform team has spare capacity. Outside help becomes more valuable when you need a documented architecture, hardened configuration, integrations with your identity provider, backup and restore tests, or evidence for an audit. DeployOpen plans, implements, customizes, integrates, hardens, backs up, upgrades, documents and supports self-hosted open-source platforms inside your own infrastructure. Most engagements are fixed-scope, with scope, deliverables and timelines agreed in writing before work starts, and ongoing support is available as a retainer.

How long does an implementation of either platform take?

No supplied fact gives a reliable duration, so treat any number you hear with caution. The main drivers are the number of workflows or tasks to migrate, the number of integrations and credentials to configure, whether you need single sign-on and environment separation, the state of your Kubernetes or container platform, and how many approvals your change process requires. For n8n, the paid features that matter most to larger teams, such as SSO and environments with Git, sit in the Business and Enterprise plans. For Trigger.dev, teams must rewrite jobs as TypeScript tasks inside the codebase. Ask any implementation partner for a written scope that lists deliverables and milestones before agreeing to a timeline.

Which Trigger.dev features are available only on Trigger.dev Cloud?

According to Trigger.dev's self-hosting overview, warm starts, auto-scaling, checkpoints and dedicated support are available only on Trigger.dev Cloud. Community support and ARM deployments are available on both Cloud and self-hosted installations. This matters most for workloads with spiky demand, where auto-scaling would otherwise be something your team builds itself, and for teams that need a vendor support channel. Before you pick self-hosting, list the Cloud-only capabilities your workloads depend on and confirm with Trigger.dev which of them you can replicate in your own infrastructure. Also note that Trigger.dev 4.5.0 is the last version that officially runs v3 tasks, so check your task versions before upgrading.

Can n8n and Trigger.dev run together in one architecture?

They can complement each other, but you should confirm the exact design with each vendor's documentation and your own testing. A common pattern places n8n in front of business applications, where its canvas and 1,500-plus integrations handle triggers and approvals, while Trigger.dev runs longer code-first background tasks inside your application codebase. n8n's queue mode uses webhooks and Redis to pass executions to workers, and Trigger.dev uses its own queues and retries, so you will run two sets of Redis and PostgreSQL services, two upgrade cycles and two sets of logs. Keep credentials, secrets and ownership boundaries clear from the start. A workshop that maps each workflow to one platform usually shows whether running both is worth the added operations.

Do we need an n8n Enterprise license for high availability?

Yes, if you want multi-main high availability. According to n8n's queue mode documentation, a setup that runs several main instances is restricted to Enterprise self-hosted deployments and is not available in the Community edition or n8n Cloud. Queue mode itself, with workers, Redis and PostgreSQL, is a scaling pattern rather than a high availability feature, and it can be built on the free Community edition. SSO and LDAP, along with environments with Git and log streaming, sit in the Business and Enterprise plans on n8n's pricing page. Ask n8n for the current edition matrix in writing, because the boundary between plans can change between releases.

How DeployOpen helps teams choose and implement either platform

DeployOpen plans, implements and supports self-hosted open-source platforms inside the client's own infrastructure, so the n8n vs Trigger.dev decision is tested against your environment before anything is built. We run the work as a written, fixed-scope engagement with ongoing support available as a retainer.

How we scope

  • We confirm which workloads are business app automation and which are code-first background tasks.
  • We check the Sustainable Use License terms against your intended internal, embedded or resale use.
  • The written scope lists the deployment target, components, integrations, deliverables and timelines before work starts.

How we build

  • We deploy n8n with its required database and encryption key handling, or Trigger.dev with its webapp and worker components.
  • We configure identity integration, environments and secrets management in your own cloud accounts or data centers.
  • We test failure handling, retries and queue behavior against the workflows your team will actually run.

How we hand over

  • We document the architecture, configuration, upgrade steps and which features depend on each vendor's paid edition.
  • We deliver backup and restore procedures and walk your operators through them before sign-off.
  • We record licensing findings so your legal and procurement teams can review them with the same facts we used.

How we support

  • Ongoing support, upgrades and continuous testing are available as retainers after handover.
  • Upgrade work tracks vendor release lines, so version changes are planned and tested before they reach production.
  • Ask any provider, including us, to confirm current edition features and support terms in writing before you commit.

Sources and further reading

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