Tray.ai or self-hosted n8n for department-wide automation
Tray.ai fits when you want a vendor-operated platform with supported connectors, managed upgrades and a builder team that prefers a supported product over running its own infrastructure. Self-hosted n8n fits when the runtime must sit in your own region or network, when you want unlimited users and workflows on the plan you choose, and when you have engineers who can operate the stack. The deciding question is where the automation runs and who keeps it running, not which tool has the longer feature list. Most readers reach this page because of a renewal, a regional hosting requirement, or internal systems that the Tray.ai on-prem agent does not reach.
Start by checking your data location and connectivity requirements. If workflows must touch internal databases, file shares or services outside the connector list, a network-local runtime avoids routing those calls through an agent you have to install and patch. n8n's own pricing page states that all plans include unlimited users, workflows and every integration, and counts one execution as one full workflow run regardless of step count, so the cost model differs from task-based quoting. Confirm the current edition terms with n8n before you rely on them, because the plan list changes.
Next, map the edition features you need. According to n8n's pricing page, SSO and LDAP, environments with Git, and log streaming are limited to the Business and Enterprise plans, and multi-main high availability is restricted to Enterprise self-hosted deployments. n8n's license also matters: the Sustainable Use License covers internal business use, but files with .ee in their name require an Enterprise License. Ask legal to confirm that your intended use fits those terms. Finally, decide who operates the platform. Self-hosting means someone owns upgrades, backups, the encryption key shared with worker nodes, and on-call response, so settle that ownership before comparing invoices.
Which option fits which scenario
This table maps common buying situations to the platform that fits them better, with the reason tied to capabilities in the supplied facts. Read each row as a starting point, then confirm the points marked for verification against your own environment and the vendors' current documentation.
| Scenario | Better fit | Reason and what to confirm |
|---|---|---|
| Regional data residency mandate | n8n self-hosted | n8n runs in the region and account you choose, so data stays where your mandate requires. Confirm that your hosting region and backups meet the mandate, since Tray.ai hosts in US, EU and APAC regions. |
| Internal databases or SOAP services behind the firewall | n8n self-hosted | A self-hosted n8n instance inside your network can reach internal systems directly. Tray.ai reaches internal systems through an on-prem agent and a fixed connector list, so confirm whether each target system has a supported connector before deciding. |
| Mostly SaaS connector estate | Tray.ai, with a connector check | Tray.ai's connector catalog may cover niche or enterprise SaaS apps more completely than n8n's count of integrations suggests. Compare your specific apps and the operations you need, not the total number. |
| Team with no platform engineers | Tray.ai, or n8n Cloud | Self-hosting n8n means someone must run, patch and back up the instance. If no one can own that work, a managed option may suit better. Confirm who will operate the platform before choosing self-hosting. |
| Need for SSO or Git-based environments | n8n Business or Enterprise | SAML single sign-on, environments with Git and log streaming are included only in n8n's Business and Enterprise plans. Confirm that the plan you need covers these features and that your identity provider is supported. |
| Multi-team automation with high availability | n8n Enterprise self-hosted | Multi-main setup for high availability is restricted to Enterprise self-hosted deployments. Smaller teams on Community or Business editions should plan for a single main instance and confirm recovery steps. |
| Per-execution cost concerns | n8n self-hosted | n8n counts one execution per whole workflow run, regardless of step count, and includes unlimited workflows and users on all plans. Ask Tray.ai for a quote based on your task volume to compare fairly. |
How builder depth and connector coverage compare
Business builders usually care about how quickly a non-developer can connect a SaaS trigger to an action, map fields and test a run without opening a terminal. Tray.ai is built around a low-code builder, and that is the core of its appeal for this group. n8n also uses a visual canvas, so the first hour of building looks similar, but the learning curve depends on how comfortable your builders are with nodes, expressions and data mapping.
- Canvas workflow: Builders assemble steps visually, inspect input and output for each node and rerun from a failed step.
- Shared ownership: Many teams keep business-owned flows and engineering-owned flows in the same tool, so governance settings matter as much as the builder.
- Template reuse: Ask whether a pattern built by one team can be copied and adjusted by another without rebuilding credentials.
- Error visibility: Confirm how failed runs are surfaced to the person who owns the flow, not only to administrators.
- Unlimited users on n8n: n8n's pricing page states that all plans include unlimited users, so seat counts do not change the builder cost.
Run a trial with two or three real flows from your own department, built by the people who will maintain them, and time how long each takes.
Engineers usually need the point where a visual step stops being enough. n8n combines its canvas with custom JavaScript or Python code, so a developer can write logic inside a node, transform payloads or call an internal API without waiting for a connector. Tray.ai offers its own scripting and custom connector options, and you should confirm how far those go for your language, libraries and deployment model.
- Code inside the flow: n8n lets engineers add JavaScript or Python where a visual node is not enough.
- Custom HTTP calls: Check how each tool handles authentication headers, pagination, retries and binary payloads in generic HTTP steps.
- Version control: Ask whether flows can be exported, diffed and reviewed in Git. n8n's Git environments feature is listed on its Business and Enterprise plans.
- Testing and staging: Confirm whether you can promote a flow between environments without editing credentials by hand.
- Internal systems: Custom HTTP and internal database access are where code-capable tools differ most, because they depend on network reach, not on the connector catalog.
Write one custom integration against an internal endpoint in each candidate tool and measure the effort to maintain it after a change.
Connector counts are easy to compare and easy to misread. n8n advertises more than 1,500 integrations, and its documentation states that every plan includes every integration. Tray.ai publishes its own connector library, and its coverage should be checked against the applications your departments actually use, including the versions and actions you need, not only the app name.
- Named applications: List the apps by department, then mark which actions each flow uses, such as create, update, search or bulk export.
- Long-tail apps: Smaller or regional SaaS tools are more likely to be missing from any catalog, so check them first.
- Custom connectors: Ask how a missing app is added, who maintains it and whether it survives upgrades.
- Authentication types: OAuth, API keys, mutual TLS and service accounts behave differently across tools.
- Connector maintenance: Community-maintained nodes can change between releases, so review the release notes before upgrading.
Ask Tray.ai to confirm coverage for your list in writing, and run the same list against n8n to compare actual behavior rather than catalog size.
Capabilities from the supplied facts
This table compares the two platforms on the capabilities that usually decide a department-wide automation rollout. Where the supplied facts describe Tray.ai, the cell says what to confirm with the vendor. Read n8n's edition column closely, because several controls depend on which license key you run.
| Capability | Tray.ai | Self-hosted n8n |
|---|---|---|
| Builder | Low-code visual builder. Confirm how far custom code and scripting go in your plan. | Visual canvas plus custom JavaScript or Python code within workflows. |
| Integrations | Confirm the connector count and whether your internal and niche systems are on the list. | Advertises more than 1,500 integrations, and all plans include every integration. |
| Hosting | US, EU and APAC hosting. Confirm which region holds your data and metadata. | Runs in your own region on Docker Compose or major cloud providers. |
| On-prem connectivity | Reaches internal systems through an on-prem agent and supported connectors. Confirm agent coverage. | Runs inside your network and reaches internal systems directly, without a separate agent. |
| SSO | Confirm which identity providers and SAML options are included in your plan. | SAML SSO on Business and Enterprise plans, with setup guides for Okta and Azure AD. |
| Queue scaling | Confirm how concurrency and parallel runs are limited and billed. | Queue mode: main instance hands executions through Redis to workers using PostgreSQL. |
| High availability | Confirm failover design and whether it is included in your contract. | Multi-main setup is Enterprise self-hosted only, not in Community or cloud. |
| Licensing | Confirm the terms that govern self-hosting, if offered, and any usage limits. | Sustainable Use License for internal use. Files marked .ee need an Enterprise license. |
| Support | Confirm support tiers, response commitments and escalation paths in writing. | Community has no listed vendor support. Enterprise adds dedicated support with an SLA. |
Where the data and the runtime live
Where workflow data sits, which network the runtime can reach, and who signs in determine most of the compliance work in a move from Tray.ai to n8n. The cards below cover the decisions and checks that connect hosting, connectivity, identity, encryption and evidence.
Data location is your decision
Tray.ai offers US, EU and APAC hosting, and its on-prem agent extends reach into your network. With self-hosted n8n, the database, execution data and logs live wherever you deploy them, so the region is set by your cloud account or data center. Confirm which region the PostgreSQL database, Redis queue and backups occupy, and whether any third-party node sends payloads outside that region. Write the answer down before workflows move.
Runtime inside your network
A self-hosted n8n instance runs in the same region and network as the systems it calls, so there is no separate hosted control plane for data to cross. Decide whether the main instance, webhook processors and workers sit in a single segment or in separate zones. Check that each component can reach the internal systems it needs and that no workflow depends on a route to a vendor cloud that your policy does not permit.
Outbound-only connections to protected systems
Tray.ai's on-prem agent makes outbound connections, a pattern that avoids inbound firewall rules. A self-hosted n8n worker can be placed behind the same firewall and reach internal databases, file shares or SOAP services directly, which removes the agent as a dependency. Ask your network team to document each allowed outbound path, the ports used and the owner of every rule, so the change is reviewable.
Sign-in through SAML
n8n's SAML single sign-on is available on the Business and Enterprise plans, and the vendor documents setup steps for Okta Workforce Identity and Azure AD. Map your identity provider groups to n8n roles before go-live, and confirm that your leavers process disables the n8n account as well as the directory account. Without SAML on the plan you choose, local accounts become a separate access review.
Sharing the encryption key in queue mode
In n8n queue mode, the main instance hands executions to workers through Redis, and workers read credentials from PostgreSQL. Every worker and webhook processor therefore needs the main instance's encryption key. Store that key in your secrets manager, restrict who can read it, and plan a rotation procedure, because a key change without coordination breaks credential access across the fleet.
Compliance evidence you must gather
Tools do not certify compliance on their own. Your auditor decides whether controls are effective, and DeployOpen prepares the configurations, access records, backup tests and change logs that the assessment will request. Gather hosting region records, SAML configuration, key custody procedures, network rule inventories and workflow change history from the start, so evidence exists before the assessment window.
What n8n's license and editions allow inside your organization
The Sustainable Use License covering n8n's main codebase permits use and modification for your own internal business purposes, as well as non-commercial or personal use. For a department-wide automation program that runs inside your own organization, that internal use is the core case the license is written for. The limits sit at the edges: distribution is only permitted free of charge for non-commercial purposes, so you cannot ship n8n to customers or sell it as part of a service without a separate arrangement. Files with .ee in their name or directory fall outside that license and require a valid n8n Enterprise License, so an install that pulls in those files needs its own entitlement. Ask counsel to map your planned uses, including any managed service for other business units or external partners, against the current n8n license file before you commit.
Editions are controlled by the license key. Without a key, n8n runs as the free Community edition, which is suitable for evaluation and for building the core workflows. Adding a Business or Enterprise license key enables those editions. The features that usually drive the decision are SSO and LDAP, environments with Git for promoting workflows between stages, and log streaming, which the pricing page lists only in the Business and Enterprise plans. Multi-main high availability is restricted to Enterprise self-hosted deployments, so it is not part of the Community or Business baseline. Confirm the current plan contents on the n8n pricing page and in writing with n8n before you design your identity, change control and logging around them.
Before you buy or deploy, make a short list of the controls your auditors will ask about, such as single sign-on, environment separation and audit logging, and map each one to the edition that provides it. Record which team owns the license key, how it is rotated, and who approves any new use case that falls outside internal business purposes. Then ask n8n to confirm in writing which edition covers each control you listed and whether any .ee components are part of your deployment. This turns the license from a point of uncertainty into a documented decision you can revisit at each renewal.
Cost components on each side
This table sets Tray.ai's quoted subscription and hosting options beside the components of a self-hosted n8n deployment, so you can see which costs are one-time and which recur. Read each row as a question to answer in writing: what a quote includes, and what your own team must fund and staff. The main takeaway is that n8n's software cost is only one line among infrastructure, database, workers and operations, so the comparison depends on your own sizing.
| Cost component | Tray.ai | Self-hosted n8n |
|---|---|---|
| Software licence or subscription | Recurring. Quoted by sales based on tasks and features; request the quote in writing with included tasks, connectors and seats. | Community edition is free to run. Cloud Starter and Pro are listed at 20 and 50 euros per month billed annually; Business is self-hosted only at 667 euros per month billed annually (n8n pricing page); Enterprise is custom. |
| Regional hosting | Recurring add-on in some regions. Confirm in the quote which US, EU or APAC hosting is included and what it costs. | Largely absent as a fee. You choose the region in your own cloud account or data center, so costs follow your infrastructure contracts. |
| On-premises options | Recurring and usually Enterprise-tier. Confirm whether the on-prem agent is licensed per agent, per tenant or per task. | Included in the software model. Cost sits in the servers or VMs you run inside your network. |
| Infrastructure (compute and storage) | Not charged separately on cloud plans. Confirm which environments and sandboxes the quote covers. | Recurring. Virtual machines or containers for the main instance, webhooks and workers. Driven by execution volume, peak load and how many workers you run. |
| PostgreSQL and Redis | Not applicable to you. Vendor operates the data layer. | Recurring for managed or self-run services. Queue mode needs Redis and PostgreSQL. Driven by storage, backups and high availability requirements. |
| Workers and high availability | Included in the subscription. Confirm the throughput limits in the quote. | Recurring. Each worker adds compute. Multi-main high availability is limited to Enterprise self-hosted, so budget for that tier if you need it. |
| Migration and rebuild | One-time. Export your projects and rebuild workflows and authentications before the contract ends. | One-time. Rebuilding workflows, recreating credentials and reconnecting on-prem systems. Driven by the number of workflows and connectors to rebuild. |
| Operations and upgrades staff | Low internal effort for the platform. Your team still owns workflow design and access reviews. | Recurring. Someone patches, backs up, rotates the encryption key shared with workers, monitors queues and applies upgrades. Ask any implementation partner for a written scope before work starts. |
What a move from Tray.ai to n8n involves
The sequence runs from inventory to cutover, so each Tray.ai project is exported, rebuilt, reconnected and verified in a network-local n8n before the old project is switched off. The result is a documented, project-by-project plan that shows which workflows move, which stay, and what still depends on Tray.ai.
Inventory every Tray.ai project and its dependencies
Your team lists each project, workflow, trigger, schedule and the systems it calls, and notes which ones use the on-prem agent. Export each project as JSON to use as the inventory record, then check what the export leaves behind, such as stored data, access control and authentication secrets. The step is done when every project has an owner, a business purpose and a documented dependency list. The detailed export steps are covered on the sibling how-to page.
Decide which workflows to rebuild
Business and platform owners sort the inventory into three groups: rebuild in n8n, keep on Tray.ai until the contract ends, or retire. Workflows that are unused, duplicated or tied to a retired system are usually retired first. The output is a signed list that names the target platform for each workflow and the reason for the decision.
Recreate authentications in n8n
Credentials do not travel with the JSON export, so each connection must be created again in n8n by its owner, using a service account or API key that the security team has approved. Store the secrets in n8n's credential store and confirm the encryption key is recorded in your secrets process. The step closes when every rebuilt workflow authenticates with a test call and the credential owners are named in the inventory.
Stand up a network-local n8n instance
Platform engineering deploys n8n inside the network that holds the internal systems, using the Docker Compose or Kubernetes documentation that n8n publishes. Where volume or availability needs call for it, queue mode separates the main instance from workers that read and write PostgreSQL and use Redis, and every worker must share the encryption key. Multi-main high availability is an Enterprise self-hosted feature, so confirm whether your edition needs it. The step is done when a test workflow reaches an internal system without an agent and the backup and restore procedure has been tested.
Replace on-prem agent connection paths
For each workflow that used the Tray.ai on-prem agent, the engineer points the n8n node at the internal endpoint directly, then checks network rules, certificates and service accounts with the owning team. Where a fixed connector was the only option, confirm that n8n can reach the system through its standard nodes or a custom code node. The output is a list of old agent paths with their new direct paths and the approval record for each.
Run rebuilt workflows in parallel
Each rebuilt workflow runs alongside its Tray.ai original for an agreed period, with outputs compared record by record and alerting set up in both places. Owners review mismatches, fix field mappings and error handling, and document any behavior that changed. The step closes when the comparison shows no unexplained differences and the owner signs off.
Cut over project by project
Once a project passes parallel running, the team disables its Tray.ai triggers, confirms n8n now owns the schedule or webhook, and records the change in the change log. Projects move in small groups so a failure affects one business process at a time. The step is complete when each project's old trigger is off, the new trigger is live, and the inventory shows the cutover date.
Retire Tray.ai projects and keep evidence
After the final project cuts over and the contract's data return or deletion steps are confirmed in writing, the team removes remaining Tray.ai connections and stores the inventory, comparison results and approvals as records for internal audit. Ask your Tray.ai account team what exports, retention and deletion confirmations they will provide before the end of the contract. The step is done when no production trigger remains in Tray.ai and the evidence file is filed.
Questions buyers ask before choosing n8n
How much does it cost to run a self-hosted n8n?
Running self-hosted n8n has two cost lines: the license tier you choose and the infrastructure and staff time to run it. The Community edition is free to download and run without a license key, so its direct cost is hosting and operations. The Business and Enterprise editions are paid, and n8n's pricing page lists Business at 667 euros per month billed annually and self-hosted only, with Enterprise at custom pricing. Drivers include the number of instances (main, workers, webhook processors), database and Redis sizing, backups, monitoring, upgrades and the hours your engineers spend on them. Ask any vendor or partner for a written breakdown of these components, and confirm current edition prices directly on n8n's pricing page before budgeting.
How long does a migration from Tray.ai to n8n take?
The duration depends on how many projects and workflows you have, how complex each one is, how many authentications must be recreated, and whether any of them depend on the on-prem agent. Projects that call internal systems need network design and testing before cutover, while simple cloud-to-cloud flows move faster. Cutting over project by project, with a parallel run for critical flows, usually adds time but lowers risk. No timeline is set by the platform itself, so ask for a per-project inventory and a fixed-scope plan in writing, with milestones and acceptance criteria, before agreeing dates.
Can our team run this migration without outside help?
Yes, many teams do, provided they have engineers comfortable with Docker or Kubernetes, PostgreSQL, Redis for queue mode, secrets handling and workflow testing. The hardest parts are usually re-creating credentials, validating outputs against the old system and designing the network path to internal systems. An outside partner can take on fixed-scope work such as architecture, hardening, migration of selected projects, or knowledge transfer, while your team keeps ownership. Decide which parts you need help with by comparing your team's skills against the inventory, then ask for the scope in writing.
What does running n8n need from our internal staff?
Expect ongoing operations work, not only a one-time setup. Staff need to manage the deployment, keep n8n upgraded using the n8n release notes as a guide, back up PostgreSQL and the encryption key, monitor executions and queue health, and rotate credentials. In queue mode, the main instance's encryption key must be shared with every worker and webhook processor, so key handling needs to be part of the runbook. Owners should also review who can build and publish workflows, since n8n's access features depend on your edition.
Is the n8n Community edition enough for SSO and audit needs?
Usually not for SSO. According to n8n's pricing page, SSO and LDAP, environments with Git, and log streaming are included only in the Business and Enterprise plans. SAML single sign-on is available on those plans, with setup guides for Okta Workforce Identity and Azure AD. High availability with multiple main instances is restricted to Enterprise self-hosted deployments. Audit needs depend on what your auditor expects, so confirm with your compliance lead which logs, retention and access records you must produce. DeployOpen prepares systems and evidence for compliance assessments, but independent auditors issue any report.
How does the Sustainable Use License affect internal use of n8n?
The Sustainable Use License permits use or modification for your own internal business purposes, and non-commercial or personal use. It does not permit offering n8n as a managed service to others or distributing it free of charge for commercial purposes, so check your use case against the license text in n8n's LICENSE file. Files with .ee in their name or directory are not covered by that license and require a valid n8n Enterprise License. If you plan to build a product or service on n8n for customers, ask your legal team to review the n8n LICENSE.md before committing.
What should a written quote for this work include?
A useful quote lists the scope by project or workflow, the systems each one touches, the deployment target, the edition and license assumptions, the migration method, testing and cutover, documentation, handover, and any retainer for later upgrades or support. It should state what is excluded, such as desktop flows or work outside n8n. DeployOpen works on fixed scope agreed in writing before work starts, and does not publish a price list, so the quote follows from that scope. Ask any provider to name the assumptions behind its timeline and fees so you can compare offers on equal terms.
How DeployOpen helps evaluate and move to n8n
DeployOpen is a Chainscore Labs company that plans, implements, hardens, documents and supports self-hosted open-source platforms inside the client's own infrastructure. For Tray.ai vs n8n, we help teams test whether n8n fits their department-wide workflows and, if it does, move those workflows into their own network under a written scope.
How we scope
- Inventory which Tray.ai projects, connectors and on-prem agent connections the evaluation must cover.
- Agree in writing which n8n edition, hosting region and network paths the scope includes.
- Confirm n8n license terms with your legal team before scoping, since the Sustainable Use License limits some uses.
How we build
- Deploy n8n in your own cloud account, data center or air-gapped network, following the documented hosting options.
- Configure queue mode with PostgreSQL and Redis if worker scaling is in scope, and manage the encryption key shared with workers.
- Rebuild priority workflows and re-create credentials, then test each one against its live source system.
How we hand over
- Document architecture, network paths, backup procedures, credential handling and each rebuilt workflow.
- Provide a cutover plan by project, with rollback steps and the Tray.ai export files used as the rebuild reference.
- Walk your operations and security staff through runbooks so the team can run n8n without outside help.
How we support
- Support, upgrades and continuous testing are available as retainers after handover.
- Upgrades can be planned against n8n release notes and tested in a staging instance before production.
- Ask for the retainer terms, response expectations and upgrade scope in the written quote.
