Dialogo vs n8n
TL;DR
n8n is the right choice if you have developers who want full control and are willing to manage infrastructure. Dialogo is for ops teams who want AI-powered automation without engineering overhead.
At a glance
DialogoWhere each wins

Where Dialogo wins
- Zero infrastructure — fully managed, no servers to maintain or monitor
- Native AI reasoning layer — not just LLM nodes bolted onto a workflow builder
- Non-technical ops teams can build and run workflows without engineering support
- Outcome-based billing — you pay for completed work, not for infrastructure uptime
- Built-in cross-tool memory without custom database configuration
Where n8n wins
- Free to self-host — zero software cost for technical teams
- Unlimited customization — full code access with JavaScript/Python nodes
- Strong data privacy — data stays on your own infrastructure
- Large and growing open-source community
- Excellent for developers who want to build complex custom workflows
Pricing comparison

Dialogo
Free to start. Starter €79/mo, Team €199/mo, Enterprise custom. €0.30 per completed task — fully managed, no infrastructure cost.
n8n
Free for self-hosted (you pay for server costs). Cloud: Starter $20/mo (2,500 executions), Pro $50/mo (10,000 executions), Enterprise custom. Plus ongoing engineering time to maintain.
Pricing insight: n8n's "free" tier has a hidden cost: engineering time. Setting up, maintaining, and debugging a self-hosted n8n instance typically costs 5–10 hours/month of developer time. At $100/hr, that's $500–$1,000/mo in engineering overhead before the first workflow runs.
Who each is best for
Choose Dialogo if…
- Ops teams who need automation without depending on engineering for every change
- Companies where workflows change frequently and business users need to modify them
- Teams that want AI reasoning built in, not bolted on
- Organizations where managed infrastructure and SLAs matter
Choose n8n if…
- Engineering teams who want full code control and unlimited customization
- Companies with strict data residency requirements (self-hosted only)
- Developers building highly custom integrations not supported elsewhere
- Teams with strong DevOps capacity and low engineering cost
What n8n users say
Common feedback from G2, Capterra, and Reddit
"Requires a developer to set up and maintain — business teams can't touch it"
"The AI features feel bolted on, not native to the platform"
"Self-hosting means we spend more time on infrastructure than automation"
"Documentation gaps make it hard to debug complex workflows"
See Dialogo in action
Connect your tools, describe your first workflow, and see autonomous execution in under 10 minutes.
Common questions
More comparisons
Ready to move beyond n8n?
Describe your first workflow in plain language. Dialogo plans it, executes it, and delivers the result.
Dialogo