n8n vs Temporal: when each one fits
Choose n8n when the work is business-app integration built by a mixed team of analysts, operations staff and engineers, and choose Temporal when engineering owns service orchestration that must survive crashes, retries and long waits without losing state. The two overlap in name only: n8n models flows visually and runs them as executions, while Temporal asks developers to write workflows in Go, Java, TypeScript or Python and records every step in an ordered event history that replays after a failure. Start by writing down who will change a flow after go-live. If a non-developer must edit it weekly, n8n's visual editor matches that need. If the flow is code that goes through review, testing and release, Temporal's model fits better.
Failure recovery is the second question. Temporal's replay design is built for workflows that run for days or months and must resume exactly where they stopped. n8n's production setup uses queue mode, where the main instance handles timers and webhooks, Redis passes execution IDs, and worker processes run executions and write results to a database. The official guidance does not recommend SQLite for queue mode. Ask your team to map each integration to a recovery expectation: can a failed step be retried safely, must a partial result be compensated, and who gets paged when a worker stops. Then test those cases in both tools before you commit.
The license question can decide the choice before features do. Temporal Server is MIT licensed, so you can run and modify it under permissive terms. n8n is under the Sustainable Use License, which permits use and modification for internal business, non-commercial or personal purposes, and files with .ee in their names need an n8n Enterprise License. Confirm with your legal team whether your intended use, including any service you offer to customers, falls inside those terms. Also confirm the operating cost of each self-hosted stack: Temporal needs its Frontend, History, Matching and Worker services plus a persistence store, while n8n needs its queue components. Ask both vendors for written terms before scoping the work.
Which scenarios favor n8n and which favor Temporal
This table maps common team situations to the platform that usually fits better and the condition that tips the choice. Read each row as a starting point, then check the condition against your own ownership model, licensing position and failure requirements.
| Scenario | Better fit | Condition that makes it so |
|---|---|---|
| SaaS-to-SaaS automation run by operations staff | n8n | Operations staff build and change flows visually, the work is mostly connecting business apps, and failed runs can be retried by a person without a code deployment. |
| Long-running order or payment orchestration owned by developers | Temporal | Developers own the code, the process must wait days or weeks for external events, and each step must resume exactly where it stopped after a failure. |
| Internal-only automation inside one company | n8n | The workflows serve internal business purposes only, so the Sustainable Use License terms fit, and legal review confirms no external customer-facing use. |
| A commercial product that embeds the workflow engine | Temporal | The product is sold to customers, so MIT-licensed server terms are easier to plan around than the Sustainable Use License, which limits use to internal, non-commercial or personal purposes. Confirm terms with counsel. |
| Integration flows that must be reviewed in code review and tests | Temporal | Your release process requires versioned code, unit tests and code review for every workflow change, and engineers maintain the logic. |
| Ad hoc flows that business users change weekly | n8n | Change speed matters more than code-level testing, and the team accepts that flows are stored and reviewed through the visual editor. |
| Workflows that need Enterprise features or a support contract | Confirm before choosing | Ask n8n whether the features you need sit in files marked .ee, which require an n8n Enterprise License, and ask Temporal what support options apply to your deployment. |
How n8n and Temporal are built and deployed
n8n and Temporal both run as services you host, but they put very different parts of the system in your hands. The cards below cover the components each one asks you to run, where state lives, and what that means for on-call, upgrades and capacity planning. Use them to estimate the operational footprint before you compare licenses or build effort.
n8n main instance and triggers
In queue mode, the main instance handles timers and webhooks and hands execution IDs to Redis rather than running the work itself. That split means inbound webhook availability and scheduled trigger accuracy depend on one component you must keep healthy. Check how your team will monitor the main instance, restart it safely and confirm that trigger ownership stays with it during an upgrade.
Redis and worker processes
Workers pull execution IDs from Redis, run the executions and write results to the database. Redis becomes a dependency you must size, secure and back up, and worker count becomes the main lever for throughput. Ask who owns Redis availability in your environment and how a lost queue is handled for in-flight runs.
SQLite is not viable for queue mode
Running queue mode on SQLite is not recommended, so a production n8n deployment needs a proper relational database from the start. Plan for that database as a shared dependency with its own backup, restore and upgrade procedure. Treat any proof of concept on SQLite as a throwaway environment, not a basis for capacity estimates.
Temporal's four core services
A self-hosted Temporal Service runs Frontend, History, Matching and Worker services, each scaled and observed separately. Your platform team needs to understand how requests flow between them to diagnose latency or stuck tasks. Confirm that your on-call rotation can read service-level metrics for all four before you commit to production.
Temporal persistence and visibility stores
Temporal stores workflow state and history in a persistence layer, and tested options are Cassandra, PostgreSQL and MySQL, with SQLite reserved for development. Choosing the store determines your backup model, your scaling profile and the skills your database team must already have. Ask Temporal and your DBA team to confirm the supported version pairing before you pick one.
Upgrades and capacity planning
n8n upgrades mainly touch one application tier plus its queue and database, while Temporal upgrades touch several services and a schema that must match the running version. Both need a staging rehearsal and a tested rollback. Ask each vendor for its supported upgrade path and for the capacity guidance that matches your expected workflow volume.
Who builds and maintains flows on each platform
n8n is built for people who think in terms of applications and triggers. Builders connect SaaS tools, databases and internal APIs by placing nodes on a canvas, mapping fields between them and testing each run in the editor. Most of the logic lives in the visual graph, so a builder can usually read a flow without opening code. This makes n8n attractive when operations staff or analysts own the automations and an engineering team only supports them.
- Authoring model: Flows are assembled visually, with JavaScript or expressions added where a node needs custom logic.
- Change control: Edits happen in the editor, so teams must add their own review step, such as exporting flows and reviewing them in a repository.
- Skills required: Process knowledge, API basics and an understanding of credentials and error branches.
- Limits to plan for: Complex branching, large test suites and reusable libraries are harder to govern visually than in code.
- Licensing scope: The Sustainable Use License limits use to internal business, non-commercial or personal purposes, so confirm that the builder's use case fits before rollout.
Before handing flows to business users, confirm with the vendor how the editor permissions, credential sharing and export options work in your chosen version.
Temporal workflows are ordinary functions written in Go, Java, TypeScript or Python, with activities that call external systems. Engineers write unit tests, use their existing branching, typing and dependency tools, and deploy workflow code the same way they deploy services. The durable part is handled by the platform: Temporal keeps a complete ordered event history and replays it to resume a workflow after a failure. This suits teams whose orchestration logic is complex and long-lived and who want it to sit next to application code.
- Authoring model: Workflow and activity code in a supported language, versioned in source control.
- Change control: Standard pull requests, code review and CI pipelines apply, along with careful handling of workflow versioning so in-flight executions remain compatible.
- Skills required: Distributed systems concepts, idempotent activity design and fluency in one of the supported SDK languages.
- Operating burden: A self-hosted Temporal Service runs Frontend, History, Matching and Worker services plus persistence and visibility stores, so platform staff must operate it.
- Persistence choices: Tested options include Cassandra, PostgreSQL and MySQL, with SQLite intended for development only.
Before committing, ask your engineers to prototype one failure scenario, such as a worker crash mid-workflow, and confirm the recovery behavior against the Temporal documentation.
Reviewers need to see who changed a flow, what the change does and where credentials and data travel. In n8n, the flow is a JSON-like graph that reviewers can export and inspect, but the approval trail depends on how the team stores and signs those exports. In Temporal, the reviewable artifact is source code, so existing code review, branch protection and dependency scanning apply directly. Neither platform approves itself: the evidence comes from the process your organization builds around it.
- Artifacts to review: n8n flow exports and credential definitions versus Temporal source code, configuration and deployment manifests.
- Access control: Confirm how each platform handles user roles, secret storage and audit logging in the version you deploy.
- Data exposure: Map which systems each flow touches, including the persistence stores that hold execution data.
- Licensing review: Legal teams should read the n8n LICENSE.md against the intended use, and note that Temporal Server is MIT licensed.
- Evidence: DeployOpen can prepare controls and evidence for an assessment, but independent auditors issue any audit report.
Ask the vendor or your own environment to confirm the audit logging, secret handling and export features of the exact version you plan to run.
Capability comparison using the supplied facts
This table sets n8n's visual, connector-based flows against Temporal's code-first durable workflows across authoring, state, recovery, scaling, persistence, licensing and release lines. Read each row as a question to answer for your own team, and confirm identity features in the current product documentation before deciding.
| Capability | n8n | Temporal |
|---|---|---|
| Authoring model | Visual flows built in a browser editor, with workflows assembled from nodes | Workflows written as code in general-purpose languages such as Go, Java, TypeScript and Python |
| State and history | Execution results are written to the database by worker processes in queue mode | Keeps a complete ordered event history that is replayed to resume workflows after failures |
| Failure recovery | Recovery depends on how each flow and execution is configured, so confirm retry and error handling per flow | Workflows resume from the recorded event history after failures, which is the core of its durable execution model |
| Scaling topology | Queue mode splits a main instance (timers and webhooks) from worker processes, with Redis passing execution IDs | Self-hosted Frontend, History, Matching and Worker services, plus persistence and visibility stores |
| Persistence options | Database backend for production. Running queue mode on SQLite is not recommended | Tested options are Cassandra, PostgreSQL and MySQL. SQLite is for development only |
| Languages and extension | Built-in nodes and custom integrations, governed by the Sustainable Use License | Any supported general-purpose language, with workflow logic kept in the team's own codebase |
| Identity integration (SSO and RBAC) | Confirm SSO and role-based access options in the current n8n documentation for your edition | Confirm SSO and authorization options in the current Temporal documentation for your deployment |
| License and release line | Sustainable Use License. Stable line is 2.x (2.43.7), with 1.x still receiving releases. Files with .ee in the name need an Enterprise License | MIT-licensed server. Current line includes v1.32 (v1.32.1), per the Temporal releases page |
What the Sustainable Use License allows compared with MIT
The Sustainable Use License, as summarized in n8n's LICENSE.md, permits use and modification of n8n for internal business purposes, non-commercial purposes and personal purposes. A company that runs n8n to automate its own internal processes, such as syncing its CRM with its ticketing system, sits squarely within the internal business category. The license is not an open-source license in the sense that MIT is, so the scope of permitted use is defined by the license text rather than by a broad grant to anyone to do anything with the code. Temporal Server, by contrast, is MIT licensed, and MIT carries no internal-use restriction. Ask your legal team to confirm that every planned use of n8n falls within the internal business, non-commercial or personal categories before rollout.
- Internal automations: Workflows that move data between your own systems for your own operations fit the internal business description in the license summary.
- Contractors and service firms: Running n8n to deliver automations to a client as a paid service is a different question from running it for your own staff. Confirm this with counsel.
- Non-commercial use: Community, research or charitable use is named in the summary, but the boundary between non-commercial and commercial activity should be confirmed for your organization.
- Modification: The license allows modification within the same permitted purposes. Track any custom nodes you build so the scope of changes is documented.
- MIT comparison: Temporal Server under MIT places no comparable purpose limit on internal use.
Check the exact use description with your legal team against the current LICENSE.md before deployment.
The question that changes most under the Sustainable Use License is whether you embed n8n in a product or offer it to others as a hosted service. The license summary limits use to internal business, non-commercial and personal purposes, so a commercial product or managed offering that bundles n8n for customers falls outside the summary as written. MIT, which covers Temporal Server, allows commercial redistribution and hosting, subject to its notice requirements. This difference is the main reason a SaaS vendor or platform team should not assume the two licenses are interchangeable. Whether a particular embedding or hosting model is permitted is a legal conclusion for counsel, not something this page can settle.
- Embedded in a product: Shipping n8n inside a commercial application for customers is the scenario most likely to need a separate license discussion with n8n.
- Hosted for customers: Offering n8n-based automation as a managed service to external parties should be reviewed before any build begins.
- Temporal under MIT: The MIT license permits commercial use and redistribution of Temporal Server, provided the copyright and license notice are kept.
- Dependencies: Review the licenses of other components in your stack, including the database and Redis, separately from the n8n license.
- Contract terms: Any commercial license or support agreement with n8n may add terms beyond the public license text.
Ask n8n directly, in writing, whether your embedding or hosting model is covered before you commit to the architecture.
The n8n repository contains files with .ee in their name, and the license states that these require an n8n Enterprise License. This is a separate condition from the Sustainable Use License that governs the rest of the code. A team that builds on n8n should know which parts of the source it is using and whether any of them carry the .ee marker. The distinction matters most when a team modifies source files, copies code between projects, or relies on features gated behind enterprise functionality. Temporal Server under MIT does not use a comparable file-level split in its published license, so the review for Temporal is typically a single license notice check.
- File-level condition: Files named with .ee require an Enterprise License regardless of how the rest of the code is used.
- Feature gating: Enterprise features and their licensing terms should be confirmed with n8n, since feature availability can differ by edition.
- Forks and patches: A patched or forked build that includes .ee files carries the same condition as the original.
- Build pipelines: Scan your container images and build artifacts to confirm which .ee files are present.
- Temporal comparison: MIT applies to the Temporal Server code as a whole, so there is no comparable file-by-file step in the license itself.
Confirm with n8n which .ee files, if any, your deployment depends on, and document the answer for your auditors.
Temporal Server is MIT licensed, as shown in the temporalio/temporal releases. The MIT license is a short permissive license that allows use, copying, modification, merging, publication, distribution, sublicensing and sale of the software, with the requirement that the copyright notice and permission notice are included in copies or substantial portions. It does not impose the internal-use scope of the Sustainable Use License. For organizations that want a permissive base for internal automation, a commercial product or a hosted service, this is the simplest license comparison. The trade-off is that MIT does not provide a vendor support commitment, so support and roadmap decisions still rest with your own team or a chosen partner.
- Permissive terms: MIT allows commercial use and redistribution with the notice retained.
- Notice obligations: Keep the copyright and license notice in any distributed copy or derivative.
- No purpose limit: The license does not restrict use to internal or non-commercial purposes.
- Support is separate: The license does not include support, so budget for operations and support in your own plan.
- Dependencies: Review the licenses of the persistence stores you select, such as Cassandra, PostgreSQL or MySQL, as separate components.
Have legal confirm the MIT notice requirements and the license of each dependency in your Temporal deployment.
What drives running cost for each platform
Running cost for n8n and Temporal comes from the infrastructure each one needs, the skills to operate it, the version lifecycle, and the license terms that govern internal use. The cards below separate one-time setup from recurring cost and list what to request in a written quote from DeployOpen or any other partner.
Database and queue infrastructure
n8n in queue mode needs a main instance, worker processes, Redis to pass execution IDs, and a database that holds execution results. Temporal self-hosted needs Frontend, History, Matching and Worker services plus a persistence store and a visibility store. Ask for the database engine, sizing assumptions, backup targets and whether Redis or Cassandra will be managed by your team or by the partner. Running queue mode on SQLite is not recommended, so a production n8n estimate must include a supported database from the start.
Temporal service components
A self-hosted Temporal Service runs four core services alongside persistence and visibility stores, and each one needs capacity planning, monitoring and upgrades. Tested persistence options are Cassandra, PostgreSQL and MySQL, and SQLite is for development only. Ask whether the quote covers cluster sizing, failover design and load testing, and whether the persistence store will be a service you already operate or one provisioned for this workload.
Engineering and operations skills
n8n workflows are built visually, so most early effort sits with integration owners who understand the connected business applications. Temporal workflows are code in Go, Java, TypeScript or Python, so the recurring cost is engineering time to write, test, version and operate workflow code. Ask who will own workflow changes after handover, which skills your team already has, and whether training is part of the scope.
Upgrades and version lifecycle
n8n's current stable line is 2.x, and 1.x still receives releases, so teams must plan which line they run and when they migrate. Temporal Server releases follow its own line, with v1.32.1 as a current example. Each upgrade carries regression testing, database schema changes and rollout effort that recur for the life of the platform. Ask the partner for the upgrade process, the rollback approach and whether upgrades are a fixed-scope task or a retainer.
License and edition terms
n8n's Sustainable Use License permits internal business, non-commercial or personal use, and files marked .ee need an n8n Enterprise License. Temporal Server is MIT licensed, so there is no license fee tied to server use. Before budgeting, confirm with n8n whether your use case is internal and whether Enterprise features are needed. Confirm with Temporal and any managed service provider what support and hosting options carry a separate charge.
Support and retainer options
Support for both platforms can come from the vendor, a managed hosting provider or an implementation partner under a retainer. DeployOpen plans, implements, hardens, backs up, upgrades and supports self-hosted platforms in the client's own infrastructure, and most engagements are fixed-scope with ongoing support available as retainers. Ask for the response expectations in writing, what is covered for each platform, and which items are one-time setup versus recurring retainer work.
Moving a workflow from one platform to the other
This sequence shows how a team moves logic between n8n and Temporal in either direction without losing track of what each flow does. The output is a tested, cut-over replacement with a documented inventory of what was rebuilt and what was carried over.
Inventory every flow and its dependencies
List each n8n workflow or Temporal workflow in production, along with its triggers (webhooks, schedules, queue messages, manual runs), the systems it calls, its credentials, and the business owner who signs off on its behavior. Export n8n workflows as JSON and pull Temporal workflow and activity definitions from source control, then record where execution history is kept. The check is a signed inventory that every production flow appears in, with an owner for each row.
Classify each flow as rebuild as code or keep visual
Decide which flows belong in a code-first Temporal workflow and which should stay as visual n8n flows. Flows with long waits, human approvals, multi-step compensation, or strict replay requirements usually suit code. Simple connector-to-connector automations often suit n8n. Engineers and the business owner review the list together. The output is a decision record per flow that states the target platform and the reason.
Map credentials, secrets and triggers
Document where each credential lives today and how it reaches each target platform. n8n stores credentials within its own configuration, while a Temporal worker typically reads secrets from the environment or a secret manager that the client controls. Map every webhook URL, schedule and queue subscription to its new trigger and confirm who can rotate each secret. Confirm with your security team how secrets are injected in your environment, because that depends on your deployment choices. The check is a mapping sheet that a security reviewer has approved.
Carry over data and business rules
Move what transfers directly: reference data, mapping tables, the business rules written as decision tables or comments, and the sample payloads used for testing. Treat n8n workflow JSON as documentation of intent rather than as a file that Temporal can run. Rewrite each rule in the target language and keep the original as an annotated reference. Confirm that no in-flight state is expected to survive the move unless you plan to drain it first. The output is a versioned rules document linked to each rebuilt flow.
Rebuild flow logic with retry and compensation design
Rebuild the control flow in the target platform. For a move to Temporal, this means writing workflow code, separating side effects into activities, and defining retry policies and compensation steps explicitly. For a move to n8n, this means reproducing the logic in nodes and reviewing how errors route to alternate branches. Do not assume that a retry in one platform behaves like a retry in the other. Test each failure path, including a worker restart mid-execution. The check is a test report that covers each failure path named in the inventory.
Run both platforms in parallel
Run the old and new flows side by side against the same inputs, with the new flow writing to a staging target or a shadow queue. Compare outputs, error rates and timing for each flow, and confirm that duplicate side effects cannot occur, for example by using idempotency keys on external calls. Keep the parallel run long enough to cover your normal business cycles, including month-end or batch windows where those apply. The output is a comparison log that the business owner accepts.
Cut over and retire the old flows
Switch triggers from the old platform to the new one one flow at a time, starting with flows that have the lowest blast radius. Drain or complete in-flight executions on the old platform before you disable its trigger, and record the cut-over time for each flow. Keep the old definitions in source control for a rollback window that your change process sets. The sequence is complete when every flow in the inventory has a confirmed owner, a passing parallel-run record and a retired trigger on the old platform.
Where n8n and Temporal projects usually run long
The effort in an n8n project tends to move from building flows to running the platform safely, and the three places it overruns are queue mode sizing, credential governance and license-scope review. In queue mode, the main instance handles timers and webhooks, passes execution IDs to Redis, and worker processes run executions and write results to the database, so the client must provide a sized Redis instance, a production-grade database and a decision on how many workers handle peak webhook load. Running queue mode on SQLite is not recommended, so a team that prototyped on SQLite will need a migration step that is easy to underestimate. Credential governance is the second overrun: every workflow that touches a business app holds credentials, and the client must decide who may create, share and export them before the first production flow goes live. Ask the implementation partner to confirm how credentials are stored, rotated and scoped per environment in your self-hosted setup.
A Temporal project usually runs long in the parts that are not the workflow code itself. The first decision is persistence: a self-hosted Temporal Service needs Frontend, History, Matching and Worker services plus persistence and visibility stores, and the tested options named in the Temporal persistence documentation are Cassandra, PostgreSQL and MySQL, with SQLite only for development. The second is worker design, meaning task queues, worker sizing and how activities are retried against external systems. The third is versioning of workflow code, because long-running executions replay their recorded event history, so changes to workflow logic must be made in a way that keeps in-flight executions deterministic. Observability is the fourth, since teams need metrics, logs and traces that show where a workflow is waiting. The client should provide the engineers who own the workflow code, the platform team that will operate the cluster and a clear list of external systems the workflows call.
Licensing review is the step most often pushed to the end, and it can change the architecture. The Sustainable Use License permits use and modification only for internal business, non-commercial or personal purposes, and files with .ee in their name require an n8n Enterprise License, so a client that plans to offer n8n-powered automation to customers outside its organization needs written legal review before build starts. Temporal Server is MIT licensed, which does not carry the same internal-use restriction, but the client still needs to confirm the license for every component in its stack. Ask your legal and procurement teams to review the license text for each platform against your intended use, and ask the implementation partner to list the exact files, modules and dependencies that will be deployed so the review covers what actually runs.
Questions buyers ask before choosing n8n or Temporal
Can our team run n8n or Temporal ourselves?
Yes, both are self-hostable, but the workload differs. Self-hosting n8n in queue mode means running a main instance, worker processes, Redis and a database, and the n8n documentation says running queue mode on SQLite is not recommended. Self-hosting Temporal means operating a Frontend, History, Matching and Worker service plus persistence and visibility stores, with Cassandra, PostgreSQL and MySQL as the tested persistence options. Confirm whether your platform team already runs these data stores and how they will patch and monitor them before committing.
What drives the cost and effort of each platform?
Software licensing is only part of the bill. For n8n, the main drivers are the number of workers, the database and Redis footprint, and the staff time spent building and maintaining flows, which a visual builder can lower for simple integrations. For Temporal, the server is MIT licensed, so the recurring costs are infrastructure, on-call operations and the engineering time to write and test workflow code. Ask any implementation partner for a written scope covering build, hardening, backup, upgrades and handover, since those components recur over the life of the system.
What skills do our engineers and operations staff need?
n8n suits teams where business analysts and integration developers can build and review flows in a browser editor, with engineers handling credentials, scaling and upgrades. Temporal assumes software engineers who are comfortable writing deterministic workflow code in Go, Java, TypeScript or Python and who understand how replay works. On the operations side, Temporal requires comfort with a multi-service distributed system, while n8n requires queue, Redis and database administration. Check your own staffing against these profiles before choosing.
Does the Sustainable Use License block a product we plan to ship?
It can. n8n is licensed under the Sustainable Use License, which allows use and modification only for internal business, non-commercial or personal purposes, and files with .ee in their name require an n8n Enterprise License. If you plan to embed n8n in a product you sell or offer to customers, have counsel review the license against that plan. Temporal Server is MIT licensed, which generally permits broader embedding, but you should still confirm the terms of any client libraries and related components with your legal team.
How does failure recovery differ in practice?
Temporal records a complete ordered event history for each workflow and uses it to replay and resume execution after a failure, which means workflow code must be written to be deterministic. n8n runs executions through workers and writes results to its database, so recovery depends on how the instance, Redis and database are configured and on how each flow handles retries and errors. Test failure scenarios such as a worker crash mid-run, a database failover and a duplicate webhook against your own flows before relying on either platform for critical work.
When is outside help worth buying?
Outside help is most useful when the platform is new to your team, when it must meet internal security or compliance requirements, or when you need the infrastructure built and handed over. DeployOpen plans, implements, hardens, backs up, upgrades and documents self-hosted open-source platforms inside your own infrastructure, typically under a fixed scope agreed in writing before work starts. Ongoing support is available as a retainer. DeployOpen does not publish a price list, so request a quote based on a written scope that lists the platform, environments and deliverables.
Which platform is faster to ship a first working integration?
For connecting business applications through prebuilt nodes, n8n usually gets a first flow running with less code, which is the main reason teams choose it for integrations. Temporal requires writing and testing workflow code and standing up its service infrastructure first, so it takes more upfront engineering. The difference narrows once you need durable, long-running service orchestration with strict retry semantics. Measure the time to a first production flow in a pilot on your own systems rather than relying on general estimates.
How DeployOpen helps choose and implement either platform
DeployOpen plans, implements, hardens, backs up, upgrades and documents self-hosted platforms inside the client's own infrastructure, including their cloud accounts, data centers and air-gapped networks. For an n8n or Temporal decision, that means the work covers the platform itself: a queue-mode n8n deployment with its main instance, Redis and workers, or a self-hosted Temporal Service with its Frontend, History, Matching and Worker services and a chosen persistence store. Most engagements are fixed-scope, with scope, deliverables and timelines agreed in writing before work starts, and a quote follows from that written scope. DeployOpen does not favor either platform. If the right answer is a visual n8n flow for business app integrations, or a Temporal service for application orchestration, the scoping conversation should reflect that.
DeployOpen does not publish a price list, so the cost question is answered through the written scope rather than a rate card. To get a comparable quote, ask for the same inputs from each vendor and from DeployOpen: which environments are in scope, who will build and maintain the workflows, which persistence and licensing decisions are assumed, and what upgrade and backup responsibilities sit with the client. For n8n, confirm the Sustainable Use License terms against your intended use before scoping. For Temporal, confirm the persistence store and the operational staffing your team can sustain. DeployOpen does not issue audit reports, attestations or certifications. Where a regulated buyer needs evidence for a compliance assessment, DeployOpen prepares the systems, controls and documentation, and the independent auditor or certification body makes the determination.
Security testing and compliance readiness are often the deciding factors for a workflow engine that touches customer or payment data. DeployOpen runs application and API testing, cloud and infrastructure testing, and testing of AI systems and agents, which applies when an n8n flow or Temporal worker calls an LLM or an agent. Ask the reader's own security team to define the threat model for webhook exposure, stored credentials and worker identities before the implementation scope is signed. Those controls are then built into the design and tested against it, not added after go-live.
