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n8n vs Gumloop
A plain-English comparison to help you choose between them.
Both attract the technically minded automator; the centres differ. n8n is the engineer's platform: open source and self-hostable, execution-priced at volume, visual flows that accept real code, strong for AI-heavy workflows under your own control. Gumloop is the AI-processing canvas: batch document and data jobs where AI operations are the first-class nodes, no code required. Pick n8n for owned, high-volume automation infrastructure; pick Gumloop for AI-centric batch pipelines without the operational burden.
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Side by side
- Summary
n8n is the engineer's automation platform: open source and self-hostable, with execution-based pricing that keeps high-volume workflows economical, visual nodes that accept real code when logic demands it, and first-class support for AI and agentic flows.
Self-hosting is the headline: data residency, compliance and cost control all follow from running it on your own infrastructure, with a hosted option when that is not the point.
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It rewards technical users and punishes casual ones: the curve is steeper than the consumer platforms, and the operational effort is yours.
- Best for
- Self-hosted automation with data residency
- Execution-based pricing at high volume
- Visual flows with real code where needed
- AI and agentic workflows under your control
- Technical teams who want to own the platform
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Runs privately (self-hostable)
- Data
- Execution-based pricing (whole workflow = one execution) is usually cheaper than per-task, but AI Workflow Builder credits (50 Starter / 150 Pro) and any LLM API calls you wire in are metered separately, and Business overage is charged per block of extra executions. The sticker price is not the whole bill. Self-hosting shifts cost to your own infrastructure/maintenance.
- Summary
Gumloop is a visual canvas for AI-heavy automation: drag nodes together and batch-process documents, scrape and transform data, and chain AI steps into workflows without code. Its shape suits data-processing jobs that are too AI-centric for classic automation platforms.
The canvas is the interface and the argument: workflows read visually, AI operations are first-class nodes rather than bolted-on steps, and batches run over whole datasets.
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Credits meter the AI work, so heavy batch runs cost accordingly: the arithmetic belongs in the plan before the pipeline scales.
- Best for
- Batch document and data processing with AI steps
- Visual workflow building without code
- Scraping and transforming data in one canvas
- AI operations as first-class workflow nodes
- Data jobs too AI-centric for classic automation
- Cost
- Paid only
- Ease
- Openness
- Hosted service
- Data
- Workflows touch whatever systems you connect; credential scoping deserves the same care as any automation platform.
Pricing
- n8n
$20·$50·$800·Custom
Prices as of August 2026.
- Starter
- $20per monthbilled annually
- Pro
- $50per monthbilled annually
- Business
- $800per monthbilled annually
- Enterprise
- Price on applicationno list price published
- Gumloop
from $37·Custom
Prices as of August 2026.
- Pro
- from $37per monthbilled monthly
- Enterprise
- Price on applicationno list price published
By area
Where each one pulls ahead, area by area.
| Area | n8n | Gumloop |
|---|---|---|
| By job | ||
| AI agents & automation | n8n offers a hosted option for teams who want the shape without the server, while the point of the platform stays that renting is optional | Gumloop processes a batch of documents through extraction and AI steps in one run, and chains several model calls into an inspectable visual pipeline |
| By task | ||
| Automation & agents | n8n asks somebody to own the server, the updates and the uptime, so the saving is real and so is the job it creates | Gumloop runs recurring data pipelines without code and lets an AI workflow be prototyped before engineering hardens it |
Common questions
Which is the better home for AI workflows?
Both are genuinely AI-native; the question is control versus convenience. n8n gives you self-hosting, code where needed and execution economics; Gumloop gives you the fastest path to AI batch jobs with credits metering the intelligence.
What does self-hosting n8n really buy?
Data residency, compliance posture and cost control at scale, in exchange for operating it yourself. Teams without that need or capability lose most of n8n's differentiators against hosted alternatives.
Which scales more economically?
For raw workflow volume, n8n: execution-based pricing, and self-hosting removes even that at the cost of infrastructure. Gumloop's credits track AI usage, so heavy AI batches cost accordingly wherever they run.
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Tool facts last checked August 2026