# n8n vs Temporal vs Prefect: Visual Workflows or Workflows as Code? > Temporal makes code durable, Prefect orchestrates Python pipelines, and n8n connects business systems visually. When each one is the right call, and how they work together. **Published:** October 27, 2026 **Updated:** October 28, 2026 **Author:** Matthew Clarkson, Osher Digital **Category:** n8n **Reading time:** 7 min read **Source:** https://osher.com.au/blog/n8n-vs-temporal-vs-prefect/ --- n8n, Temporal and Prefect all run workflows, but they are built for different people. Temporal makes application code durable, so a long-running business process survives crashes and restarts without losing a step. Prefect orchestrates Python, mostly data pipelines. n8n is a visual workflow tool for connecting business systems. For an engineering team building logic that must never fail silently, Temporal and Prefect are the stronger tools: better testing, real version control, and type safety. n8n wins when the workflow benefits from a picture, when business people need to read the logic, or when building it quickly matters more than the rigour of code. We are Osher Digital, a Brisbane automation and software consultancy. We build most integrations in n8n, and we use Temporal and Prefect for client workloads where the workflow logic is critical and the team maintaining it is mostly engineers. The facts below come from each project's own documentation and pricing pages, checked on 27 October 2026. * * * ## What each one is ### Temporal Temporal provides what it calls durable execution. Your workflow is ordinary code in Go, Java, .NET, PHP, Python, Ruby, Rust or TypeScript. Temporal records each step in an event history, so if a worker crashes halfway through, the workflow resumes from where it stopped. That suits processes that run for hours, days or weeks: payments, order fulfilment, sagas that undo earlier steps when a later one fails, and AI agents that wait for a person. The server is open source under the MIT licence. Temporal Cloud charges by "Actions", such as starting a workflow or recording a heartbeat, and has a Sydney region on AWS. Australian users shown on its site include REA Group, Macquarie and ANZ. ### Prefect Prefect is a Python framework for orchestrating workflows, built mainly for data pipelines. A flow is a Python function with a `@flow` decorator, and its steps are tasks with a `@task` decorator that can retry, cache their results and behave like transactions. Work pools connect the orchestration layer to wherever the code runs: your own servers, a serverless platform or Prefect's managed infrastructure. Prefect is open source under the Apache 2.0 licence. Prefect Cloud keeps its control plane in the US. With a hybrid work pool, your code and data stay on your own infrastructure. ### n8n n8n is a visual workflow tool with more than 2,000 integrations. You build workflows on a canvas, drop into JavaScript or Python with the Code node when you need to, and handle failures with error workflows and per-node retries. It can be self-hosted, and we run it for clients on Australian servers. * * * ## The three side by side | | n8n | Temporal | Prefect | |---|---|---|---| | How you build | Visual canvas, with code where needed | Code, in eight languages | Python code | | Who can read it | Anyone who can follow a diagram | Engineers | Engineers | | Built for | Connecting business systems and SaaS APIs | Long-running processes that must not lose a step | Data pipelines and scheduled Python jobs | | When a step fails | Retries per node, then an error workflow | The workflow resumes from its last recorded step | Task retries, caching and transactional tasks | | Testing | Test runs on the canvas; no conventional unit-test framework | Unit and replay testing through the SDKs | Ordinary Python testing of flows and tasks | | Version control | JSON exports on any plan; Git on Business and Enterprise | Your code repository | Your code repository | | Licence | Sustainable Use License ("fair-code") | MIT | Apache 2.0 | | Hosted option | n8n Cloud, in Frankfurt | Temporal Cloud, with a Sydney region | Prefect Cloud, control plane in the US; code can run on your infrastructure | | Entry price | Cloud Starter €20 a month (annual) for 2,500 executions | Pay as you go, US$50 per million Actions, no base fee | Free Hobby tier; Starter $100 a month | * * * ## When code-first wins Choose Temporal or Prefect when most of these are true: - The workflow is critical, and a silent failure would cost money or trust. - Engineers will build and maintain it, and they already work in code review and CI. - You need automated tests that run before every change. - The process runs for a long time, waits on people or other systems, or has to undo earlier steps when a later one fails. - Volume is high enough that you want to tune workers and concurrency yourself. Temporal is the better fit for business processes inside your own software, where each step calls one of your services and the whole thing must complete exactly once. Prefect is the better fit for Python teams moving and transforming data on a schedule. Temporal Cloud's pricing reflects its audience. The Business plan costs the greater of US$500 a month or 10% of usage, with 2.5 million Actions included. That is good value for a busy production system and poor value for a handful of office automations. * * * ## When n8n wins Choose n8n when most of these are true: - The workflow connects business systems: a CRM, an accounting package, Microsoft 365, a practice management system. - People outside engineering need to understand what it does, even if they never edit it. - You want a working version this week, then improve it as you learn. - Nobody on the team runs a platform engineering function. The visual canvas is the real advantage here. When an operations manager can look at the workflow and say "that is wrong, we approve before we invoice", you catch a business mistake before it ships. That rarely happens with a Python file. n8n has limits that matter in this comparison. It has no conventional unit-test framework, Git integration needs a paid plan, and very long-running processes with complex compensation logic are awkward to model. When a workflow starts to need those things, it has usually outgrown a visual tool. * * * ## Using them together ![n8n receives events from business systems, cleans the data and asks for approval, then hands the critical process to Temporal or the data pipeline to Prefect](/images/blog/n8n-vs-temporal-vs-prefect/n8n-with-temporal-and-prefect.webp) You do not always have to choose. A pattern that works well is to keep n8n at the edges, where the SaaS connections and the human-readable steps live, and hand the critical core to code. n8n receives the webhook, cleans up the data and asks a person to approve, then calls a service that starts a Temporal workflow or triggers a Prefect deployment through Prefect's API. The business team can still see every step, and the engineers own the part that must not fail. If you are working out where that line falls for your own systems, our [system integrations](/system-integrations/) and [custom AI development](/custom-ai-development/) pages explain how we approach it, and our [n8n consultants](/n8n-consultants/) page covers the visual side. Or [book a 15-minute call](/book-a-call/). * * * ## Frequently asked questions ### Is Temporal a workflow automation tool like n8n? Not really. Temporal is a platform for running durable application code. There is no visual builder and no library of business app connectors. Engineers write workflows in code, and Temporal makes sure each one runs to completion even when servers fail. ### Does Temporal Cloud have an Australian region? Yes. Temporal Cloud runs in AWS's Sydney region (ap-southeast-2), with replication within that region available. ### Is Prefect free? The Prefect framework is open source under the Apache 2.0 licence and free to run on your own infrastructure. Prefect Cloud has a free Hobby tier, with paid plans from $100 a month. ### Can n8n call Temporal or Prefect? Yes. n8n can call any HTTP API, so it can trigger a Prefect deployment through Prefect's REST API, or call a small service of your own that starts a Temporal workflow.