Compare alternatives when a different authoring or hosting model would fit your job better. n8n supports AI-assisted building and hosted or self-hosted deployment; paid self-hosted plans can still meter executions. These are suggested fits, not evidence of why customers leave or which product is universally easier.
n8n supports nodes, expressions, code and AI-assisted building. Illustrative, not a recorded run: Jaunius needs all pages of 5,000 contacts and only changed records written back. Try pagination, a repeated event and an API failure in each candidate before choosing the representation you prefer.
n8n Cloud plans are hosted and meter executions. n8n also publishes a self-hosted Community Edition and lists an execution allowance on its self-hosted Business plan; self-hosting keeps n8n on your own infrastructure.
n8n exports workflow JSON for import into n8n. That does not promise drop-in execution in a different runtime; inspect runtime and credential dependencies before moving.
You describe the job in plain language and AI writes it as TypeScript. Whenever hosts it, and the file is yours.
Task-based billing. Successful action usage, with exceptions and variable rates.
App-to-app Zap workflows, with Copilot to draft them from a description.
Operation-based credits. Scenario usage, AI-agent chat and Maia usage.
Scenarios built from modules on a canvas, with routers and filters.
Credits + plan features. AI and run usage, with unlimited flows.
An open-source visual flow builder you can also run on premises.
Compute-time credits. Duration and memory, per workflow segment.
Existing Workflows users planning migration before its announced March 31, 2027 shutdown; Connect is unaffected.
Cloud message credits + trigger events. Message credits and trigger events; own model keys bill through the provider.
Building LLM apps on a node canvas, hosted or self-hosted.
Agent-usage credits. Models, tools, active compute and orchestration.
Agent work with optional fixed-code polling triggers; price those modes separately.
Actions + vendor credits. Tool executions, plus vendor credits for model and tool costs.
Teams of agents that decide which tools to use as they go.
Our recommendation is to test the same difficult job in the tools you are considering. Make and Activepieces offer visual and AI-assisted building; Pipedream Workflows is being retired. Whenever offers a procedure you supervise through business rules, sample outputs and run history, with optional code inspection.
Activepieces and Dify both publish editions you can run yourself. Whenever is hosted only; what you keep is the workflow’s TypeScript, which you can export.
Not as a rule. n8n Cloud plans meter executions and its self-hosted Business plan lists an execution allowance; the Community Edition is self-hosted. Compare the actual subscription, runtime AI and operating costs. Both Whenever and n8n Cloud provide hosted execution.
Official source captures reviewed October 9–10, 2026; product modes and caveats are linked from each comparison. Fit recommendations are our editorial opinion.
Describe an existing automation and supervise its rules and sample results. Fixed code is deterministic with identical inputs and dependencies; optional AI and changing external data can change outcomes.