n8n vs Latenode

Pricing

The pricing meters are a key difference. n8n Cloud bills by workflow execution with unlimited steps per execution; current plan prices and allowances vary by quote, billing context, and locale. Self-hosted n8n changes the meter but adds infrastructure, database, backups, monitoring, operator labour, support, and availability requirements. Latenode uses its own execution-credit model. Price both with the same representative workload.

Latenode uses execution-time billing. n8n Cloud uses workflow executions, while self-hosting replaces the platform meter with infrastructure and operating responsibility. Duration, retries, AI usage, and capacity all affect the result.

There is no universal cloud or self-host crossover. Benchmark the representative workflow and include database, queue, storage, availability, and operations in the n8n self-host estimate.

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 exposes more dedicated building blocks; if it is a handful of model calls plus custom JavaScript and AI-assisted code generation is central, evaluate Latenode's authoring model.

Self-hosting and ownership

n8n provides Docker, Compose, and Helm deployment paths; SQLite covers small installs, while Postgres and Redis support production and queue-mode patterns. Self-hosting gives more control over runtime and storage location, but actual data flow still depends on connectors, model APIs, telemetry, backups, and other external services.

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 maintains a 2,100+ integration directory verified 2026-09-23, spanning databases, queues, observability tools, and SaaS apps, with the generic HTTP Request node available for API calls. Check whether the required connector and operation are first-party, community-maintained, or custom before choosing.

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 for a validation window appropriate to the workflow risk, and disable the source only after representative runs and failure paths have been verified.

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 a fit for teams with engineering support, a need to touch internal systems alongside SaaS, and a preference for the option to self-host. Self-hosting gives the team more control over the runtime and storage location, while actual data flow still depends on connectors, model APIs, telemetry, backups, and other external services. Evaluate current cloud execution allowances or the full self-host operating cost for the representative workload.

Who should choose Latenode

Latenode is a candidate for cloud builders who want code and AI steps without running a server. Compare execution-time usage with current per-task or per-execution plans using the representative workflow. There is no self-host exit, and connector coverage must be verified.