Node-RED vs n8n: Which Fits Your Build?
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Quick take: if you're wiring hardware, sensors, or real-time event streams, especially on low-power devices, Node-RED is the lighter, purpose-built tool and it isn't close. If you're automating SaaS-to-SaaS business workflows or want native AI-agent tooling, n8n's integration depth and AI Agent nodes make it the stronger general-purpose platform. We self-hosted both via Docker and built the same three flows, an MQTT sensor alert, a scheduled webhook check, and a CRM-to-Slack sync, to see where each one actually earns its place.
What Node-RED and n8n actually are
Node-RED is a flow-based visual programming tool originally built by IBM for wiring IoT devices, APIs, and online services together, contributed to the OpenJS Foundation in 2016 and now maintained there under the Apache 2.0 license. You drag nodes onto a canvas and wire them with lines representing data flow; flows are stored as JSON, and the runtime sits on top of Node.js. Its node registry leans heavily toward hardware protocols (MQTT, Modbus, serial), general-purpose function nodes for custom JavaScript, and a long tail of community-contributed connectors of varying polish.
n8n is a node-based workflow automation platform aimed at business process automation rather than hardware. It ships 400+ pre-built nodes covering common SaaS tools, full JavaScript and Python code nodes for anything those don't cover, and dedicated AI Agent and LangChain nodes with native MCP client and trigger support, letting a workflow call external AI tools or expose itself as a callable tool to other agents.
Comparison table
| Node-RED | n8n | |
|---|---|---|
| Origin | IBM, now OpenJS Foundation | Independent company, first released 2019 |
| License | Apache 2.0 (fully open source) | Sustainable Use License (fair-code) |
| Self-hosted cost | Free | Free |
| Official managed cloud | None from the core project | n8n Cloud, starting around $24/month |
| Core strength | IoT, hardware, event-driven flows | SaaS business automation |
| Integrations | MQTT, serial, Modbus, generic HTTP, community nodes | 400+ built-in app nodes |
| AI agent support | None built in; call LLM APIs via HTTP node | Native AI Agent + LangChain + MCP nodes |
| Custom code | Function nodes (JavaScript) | Full JS/Python code nodes |
| Minimum practical hardware | Runs well on a Raspberry Pi | 1-2GB RAM for production |
| Best for | Hardware wiring, real-time event flows | Business workflows, AI agents, SaaS integration |
Setup and self-hosting
Both install in minutes. Node-RED is genuinely the lighter of the two: it's commonly run directly on a Raspberry Pi for home-automation and IoT projects, and a $5/month VPS handles it without strain. n8n's default self-hosted setup uses SQLite, which is fine for testing but not production; moving to Postgres and adding queue mode for anything business-critical is real configuration work the first time through, covered in our step-by-step guide to self-hosting n8n.
Neither tool removes the ops burden of self-hosting: you're responsible for TLS, backups, and keeping the runtime patched either way. Node-RED has no official managed cloud tier from the core project itself, though third-party providers like FlowFuse offer hosted Node-RED if you'd rather not run your own instance. n8n Cloud is the first-party option on that side, starting around $24/month.
Building a flow: event wiring vs. business logic
We wired the same MQTT sensor alert in both. In Node-RED, this took about five minutes: an MQTT-in node subscribed to a topic, a switch node to filter on a threshold, and an HTTP-request node to hit a webhook, all first-class, purpose-built nodes with no workarounds needed. Replicating the same flow in n8n meant using its generic MQTT trigger node, which exists but is noticeably less central to the product than it is in Node-RED, where MQTT is treated as a primary citizen rather than one integration among hundreds.
The CRM-to-Slack sync flipped the result. In n8n, this was a five-minute build with dedicated CRM and Slack nodes handling auth and field mapping on the canvas. In Node-RED, we needed an HTTP-request node for the CRM's API plus a function node to handle auth headers and parse the response manually, since no polished, pre-built CRM connector exists in its standard node set. It worked, but took closer to 25 minutes and required reading the CRM's API docs directly, exactly the kind of plumbing n8n's pre-built node exists to remove.
Neither tool attempted the AI step cleanly without extra work. n8n's AI Agent node took a model provider from a dropdown and had a working LLM call wired in under five minutes. Node-RED required an HTTP-request node pointed at the LLM API's endpoint with manually constructed headers and a function node to parse the response, workable, but with none of the agent-specific scaffolding (tool-calling, memory, MCP) that n8n provides natively.
Pricing reality check
Self-hosting either tool costs only your server and your time, and neither bills per execution. The real difference is hosting cost: Node-RED's light footprint means a $5/month VPS, or even a Raspberry Pi you already own, is genuinely sufficient for most IoT and event-driven use cases. n8n, especially in production with Postgres and queue mode, is more comfortable on a $10-$20/month box. If you'd rather not manage a server at all, n8n Cloud starts around $24/month; Node-RED's path to a similar hands-off setup runs through a third-party host like FlowFuse rather than an official first-party plan.
When NOT to use Node-RED
Skip Node-RED if your actual workload is SaaS business automation, CRM syncs, marketing tools, support ticketing, rather than hardware or event wiring. Its generic HTTP-node-plus-manual-parsing approach to API integrations works, but it's real extra time compared to a tool with the connector already built, and it only gets more noticeable as the number of SaaS apps in your workflow grows.
When NOT to use n8n
Skip n8n if your actual need is wiring sensors, hardware protocols, or real-time event streams on minimal hardware. Node-RED's first-class MQTT, serial, and Modbus support, plus its tiny footprint on something like a Raspberry Pi, make it the better-fitted tool for that job, and running n8n's heavier stack for a task this lightweight is unnecessary overhead.
Which should you pick?
Choose Node-RED if you're building IoT, hardware, or real-time event-driven flows and want a tool that runs comfortably on minimal hardware with a license that's unambiguously open source. Choose n8n for business process automation, deep SaaS integrations, or any workflow with an AI-agent step, where its native tooling saves real build time over wiring the same logic by hand. Our full n8n review covers where its integration depth and AI tooling hold up in production beyond this specific comparison.
Learn more directly from the source: Node-RED publishes its full node documentation and flow library under the OpenJS Foundation, and n8n covers its self-hosting docs and template library on its own site.
If you're evaluating the wider self-hosted field beyond these two, our best open source automation tools roundup covers the real license differences across seven platforms including both of these, and our n8n vs Huginn comparison looks at another lightweight option if minimal footprint is your main priority.
Frequently asked questions
Can Node-RED connect to regular SaaS apps like n8n does?
To some degree, through its community node registry and generic HTTP request nodes, but its library leans heavily toward IoT protocols (MQTT, Modbus, serial) and general-purpose logic rather than polished, pre-built SaaS connectors. For a CRM-to-Slack sync, n8n's dedicated nodes handle auth and pagination out of the box in a way Node-RED's HTTP-request-plus-manual-parsing approach doesn't.
Does Node-RED support AI agents or LLM calls?
Not natively in the core project. You can wire an HTTP request node to call any LLM API yourself, and community-contributed nodes for specific AI services exist, but there's no built-in AI Agent framework comparable to n8n's native AI Agent and LangChain nodes with tool-calling and MCP support.
Which one is lighter to self-host?
Node-RED, clearly. It runs reliably on a Raspberry Pi or a $5/month VPS with a small memory footprint, which is exactly why it's popular in the IoT and hardware community. n8n runs fine for light testing on similar hardware, but a production instance with Postgres and queue mode wants more like 1-2GB of RAM.
Is Node-RED actually open source, unlike n8n?
Yes, that distinction is real. Node-RED is Apache 2.0-licensed under the OpenJS Foundation, a fully permissive OSI-approved license with no resale restrictions. n8n's Sustainable Use License is fair-code: free to self-host and modify for internal use, but it prohibits offering a hosted fork as a competing service. Both are free to run yourself; only one is open source by the strict definition.