n8n vs Relevance AI

Detailed side-by-side comparison to help you choose the right tool

n8n

🟡Low Code

AI Automation

Source-available workflow automation for technical teams building AI agents, integrations, and self-hosted business processes.

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Starting Price

Free

Relevance AI

🟢No Code

AI Agents & Autonomous Workflows

No-code platform for building AI agents and teams that automate sales, marketing, and ops workflows.

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Starting Price

$0/month

Feature Comparison

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Featuren8nRelevance AI
CategoryAI AutomationAI Agents & Autonomous Workflows
Pricing Plans205 tiers79 tiers
Starting PriceFree$0/month
Key Features
  • Visual workflow automation with code steps and conditional logic.
  • AI agents, RAG, and model orchestration workflows.
  • 500+ integrations and 9,500+ workflow templates.
  • Visual Agent Builder
  • Multi-Agent Workforces
  • Custom Tool Builder

n8n - Pros & Cons

Pros

  • Supports complex workflow logic rather than only simple trigger-action automations.
  • Includes a large template library, which helps teams start from existing automation patterns.
  • Designed for moving and transforming data across many business systems.
  • Offers native AI workflow capabilities for agents, RAG-style workflows, and model orchestration.
  • Provides both hosted cloud plans and self-hosted deployment paths.
  • Paid plans include unlimited users and workflows, with pricing based primarily on executions.

Cons

  • Cloud pricing is execution-based, so high-volume workflows need usage planning.
  • The platform is likely more complex than simple no-code automation tools for nontechnical users.
  • Self-hosting can be an advantage, but it shifts operational responsibility to the customer.
  • AI Workflow Builder credits vary by plan and may affect AI workflow experimentation.
  • Enterprise governance is called out, but buyers should verify exact compliance requirements during procurement.

Relevance AI - Pros & Cons

Pros

  • Clearly focused on enterprise-scale AI agent deployment rather than only single-user assistants or simple automations.
  • Designed for GTM and high-growth teams, which makes the positioning specific for sales, marketing, RevOps, and operational workflows.
  • No-code positioning can let domain experts manage and shape agents without depending on engineering for every workflow change.
  • Emphasizes safe, team-managed agent usage, which is important for organizations concerned about uncontrolled agent sprawl.
  • Multi-agent and workforce-style positioning suggests support for coordinating specialized agents across business processes.
  • Enterprise and agent-sprawl messaging indicates the platform is built for governance and operational scale, not just experimentation.

Cons

  • Public pricing still requires verification because plan limits, usage allowances, and included features may change.
  • The scraped website content does not provide detailed technical architecture, deployment controls, or full security specifics.
  • Best fit appears to be enterprise and high-growth GTM teams, so smaller teams may find the buying process or scope heavier than needed.
  • The website messaging is outcome-oriented but does not show enough concrete workflow examples in the provided content to evaluate day-to-day usability.
  • Organizations may still need strong internal process ownership to avoid creating too many overlapping agents, even with an agent management platform.

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🔒 Security & Compliance Comparison

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Security Featuren8nRelevance AI
SOC2❌ No
GDPR❌ No
HIPAA❌ No
SSO✅ Yes❌ No
Self-Hosted🔀 Hybrid❌ No
On-Prem✅ Yes❌ No
RBAC✅ Yes❌ No
Audit Log✅ Yes❌ No
Open Source❌ No❌ No
API Key Auth✅ Yes❌ No
Encryption at Rest✅ Yes❌ No
Encryption in Transit✅ Yes❌ No
Data ResidencyEUVERIFY WITH VENDOR
Data RetentionconfigurableVerify current retention terms with Relevance AI
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