n8n vs Latenode

Pricing

The pricing meters are the sharpest difference. n8n Cloud bills by workflow execution: one run of a workflow is one execution credit regardless of how many nodes fire, so a two-node workflow and a twenty-node workflow cost the same. The Starter plan begins around $20 a month for 2,500 executions and the Pro plan around $50 a month for 10,000. Self-hosted n8n removes the meter entirely — a small VPS carries thousands of runs a day for the cost of the box.

Latenode bills by execution time, measured in compute seconds rather than per task or per operation. A scenario that finishes in a second costs a fraction of one that runs for thirty, and multi-step or AI-heavy scenarios are dramatically cheaper than on a task-metered tool like Zapier. The trade is that long-running or compute-heavy jobs — large LLM calls, big scrapes, heavy transforms — consume the meter faster in ways that are not always obvious from step count alone.

The practical crossover: if you self-host, n8n is effectively free at the runtime layer and wins on cost outright. If you stay in the cloud, Latenode is usually cheaper than n8n Cloud for short, frequent scenarios and cheaper than task-metered tools across the board, while n8n Cloud stays flat and predictable no matter how many steps a workflow grows to.

Code and AI

Both tools treat code as first-class. n8n exposes Function nodes that run JavaScript or Python with full access to the upstream payload, and it can import npm packages in self-hosted deployments. Latenode ships a native JavaScript step in every scenario with access to over a million npm packages, and layers an AI Copilot on top that generates the code for a step from a plain-language prompt — lowering the floor for users who would otherwise avoid code entirely.

On AI depth, n8n is ahead on ecosystem. It ships an AI Agent node, LangChain wrappers, a chat-memory node, and direct integrations with the major vector stores (Pinecone, Qdrant, Supabase pgvector, Weaviate), so a retrieval-augmented chat flow or a tool-using agent is a wiring job. Latenode ships native AI model nodes for the major providers and handles the common call-a-model then transform-the-output pattern cleanly, but the surrounding agent and retrieval ecosystem is thinner and younger.

A useful filter: if the automation is an agent or a RAG pipeline, n8n has more building blocks; if the automation is a handful of model calls plus custom JavaScript and you would rather the AI write that JavaScript, Latenode is faster to ship.

Self-hosting and ownership

This is the cleanest structural split. n8n ships a Docker image, a Compose stack, and a Helm chart; SQLite covers small installs, Postgres covers production, and Redis enables queue mode for multi-worker scaling. The Sustainable Use License is free for internal use and modification, workflows export as JSON that lives in version control, and the whole stack can run in your own jurisdiction. For teams with data-residency, air-gap, or vendor-independence requirements, this is decisive.

Latenode has no self-hosted edition. Every scenario runs in the Latenode cloud, which is fine for the majority of workloads and a hard stop for anyone who must keep data on their own infrastructure. There is also no clean export to an open-source runtime, so the platform cannot be taken in-house later. The upside of the same decision is zero operations: no backups, no upgrades, no on-call — Latenode owns the runtime, secrets, retries, and scaling.

Integrations

n8n ships around 400 native nodes plus a thousand-plus community nodes, covering the databases, queues, observability tools, and SaaS apps most teams touch, with the generic HTTP Request node filling the long tail. The community-node ecosystem and the ability to import npm packages in code nodes mean a missing integration is rarely a blocker.

The Latenode native catalog is smaller and younger, so it leans harder on HTTP requests and the built-in code step for anything off the beaten path — a workable pattern for developers, but more assembly than clicking a pre-built node. Where Latenode pulls ahead is built-in headless browser automation: scraping and browser-driven flows ship in the box, whereas on n8n they usually mean a community node or an external service.

Migration

Neither tool imports the other format, so migration is a manual rebuild. The reliable pattern is to document the source workflow, recreate it on the target, run both in parallel against the same trigger for a week, and disable the source once the new version has logged a few hundred clean runs.

Latenode to n8n is the likely direction for a team that outgrows cloud-only and needs to self-host: triggers map cleanly because the underlying SaaS APIs are the same, and Latenode code steps port to n8n Function nodes with minor adjustments. n8n to Latenode is rarer; workflows that lean on n8n-specific AI Agent nodes, community nodes, or sub-workflows do not translate cleanly and usually fragment into HTTP-plus-code steps on the Latenode side.

Who should choose n8n

n8n is the right call for teams with at least one engineer, a need to touch internal systems alongside SaaS, and a preference for the option to self-host. The execution-priced cloud is predictable no matter how complex a workflow grows, the AI and community-node ecosystems are the deepest in the category, and self-hosting delivers data residency, vendor independence, and version-controlled JSON workflows that a cloud-only tool structurally cannot match. If you will ever need to run automation on your own infrastructure, start here.

Who should choose Latenode

Latenode is the right call for cloud builders who want real code and native AI without running a server. If your scenarios are dominated by model calls and custom JavaScript, if you like the idea of an AI Copilot writing step logic for you, and if execution-time pricing fits your workload better than per-task or per-execution meters, Latenode is a genuinely cheaper and faster place to build than the task-metered incumbents. Just go in knowing there is no self-host exit and the integration catalog is still growing.