# Graph One vs n8n

Graph One records 982 monthly visits with -30.4% month-over-month growth and Contact for Pricing pricing. n8n records 4,522,449 monthly visits with -7.4% growth and Freemium pricing.

| Metric | [Graph One](https://openaitools.app/tool/graph-one) | [n8n](https://openaitools.app/tool/n8n) |
| :--- | :--- | :--- |
| Website URL | https://graph.one | https://n8n.io |
| Categories | AI Knowledge Graph, AI Lead Generation, AI Investing, AI For Data Analytics | AI Workflow, AI Agent, No-Code&Low-Code, AI Developer Tools |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 982 | 4,522,449 |
| MoM Growth Rate | -30.4% | -7.4% |
| Primary Market | United States | India |
| Direct Visits | 384 | 1,565,199 |
| Review Score | 4.1 | 4.7 |
| Saved Count | 0 | 4 |
| Supported Platforms | Website | Website |

## Graph One

Graph One, operated by Borg Collective GmbH, addresses a familiar problem at advisory firms, consultancies and investment teams: relationship knowledge lives in individual inboxes and half-filled CRMs. When a partner leaves or a client contact changes role, that institutional memory walks out of the door. Graph One ingests metadata from email, calendar, CRM systems and public sources, resolves duplicate people and organisations into single entities, and draws the connections between them.

The result is a firm-level view of the network. Team members can search for a person and get one authoritative record instead of scattered threads, and they can ask who has the strongest real connection to a target. Warm paths are ranked by actual evidence — shared meetings, shared threads — rather than self-reported contact frequency, so recommendations are defensible rather than guesswork.

The product is explicitly privacy-conscious in its design. Graph One states that it reads metadata only and never message content, and that the resulting graph stays the property of the firm rather than being pooled across customers. Deployment is assisted: because every firm's data landscape is different, Graph One is configured with you against your own systems rather than self-served. It is currently presented as a beta, with access arranged through a demo call.

**Pricing & Plans:** Graph One does not publish public pricing. The site promotes a demo-led process and describes the product as being in beta, so commercial terms are arranged directly with the company.

- **Unified person and organisation records:** Email, calendar, CRM and public-source data are resolved into one clean entity per person or company, ending the duplicate-record problem.
- **Evidence-ranked warm paths:** Introduction routes are scored from real shared meetings and threads, and each ranking comes with the underlying evidence attached.
- **Firm-wide network search:** Search across the whole graph and get a single answer per person instead of hunting through inboxes and CRM tabs.
- **Team memory that survives turnover:** Context stays attached to the person and organisation, so relationships persist when roles and staff change.
- **Metadata-only, firm-owned data:** Only metadata is processed — never message content — and the resulting graph is kept as the firm's own asset.

**Strengths:** Addresses a real pain point for advisory and deal-driven firms where relationship knowledge is fragmented; Warm-path recommendations are grounded in measurable interaction evidence, not self-reported familiarity; Metadata-only processing and firm-owned graph are strong, clearly stated privacy commitments; One authoritative record per person removes the duplicate-contact mess in most CRMs

**Limitations:** No public pricing and a demo-gated, assisted setup make it hard to evaluate without a sales conversation; Currently labelled a beta, so feature depth and stability may still be evolving; Value depends heavily on how much of the firm's communication actually flows through connected systems

[Profile (Markdown)](https://openaitools.app/tool/graph-one.md)

## n8n

n8n is a workflow automation platform built for technical teams who want automation they can actually read and audit. Rather than hiding logic behind opaque configuration, every step stays open: you can see what a node does and explain the whole flow to whoever runs it. It combines a drag-and-drop visual builder with the ability to drop into code at any point, so simple tasks stay simple while complex ones remain possible.

A major focus of the current product is AI agents. You can connect any model, watch an agent work step by step in the same workflow view, open past runs, and constrain behaviour with structured inputs and outputs, rule-based automation and human-in-the-loop approval gates. That makes it practical to put agents into processes like refund handling, alert triage, lead qualification and security investigation without losing control.

n8n is open source and can be self-hosted on-prem or with Docker to keep data in your own environment, or used as a hosted service. Enterprise capabilities add SSO with SAML and LDAP, RBAC, encrypted secret stores, audit logs, log streaming to SIEM systems, isolated environments and Git-based control. Integrations span 500+ native services, arbitrary HTTP APIs and MCP connections to agents and coding assistants.

**Pricing & Plans:** n8n offers a free self-hosted open-source edition, a paid cloud service with a free trial, tiered paid plans, and enterprise pricing on request. Feature limits scale with plan tier, so check the official pricing page for current details.

- **Visual builder with code escape hatch:** Build automations with a visual node editor, then insert JavaScript or Python code nodes when you need custom logic.
- **500+ integrations and any API:** Connect to 500+ native services, any REST API via HTTP nodes, and any agent or coding assistant through MCP.
- **AI agents you can follow and trust:** Run agents alongside regular steps, inspect every decision, and add structured inputs, guardrails and human approval steps.
- **Observability and reproducible runs:** Watch workflows execute live, open past runs, replay a run with mocked data and re-run just the step that failed.
- **Self-host or cloud with governance:** Deploy on your own infrastructure with Docker or on-prem, or use the hosted cloud product, with version history and RBAC.

**Strengths:** Open source and self-hostable, keeping data in your own environment; Visual builder plus full code access for complex workflows; Strong observability: live runs, past-run inspection and step-level retries; 500+ integrations and generic HTTP nodes cover almost any service

[Profile (Markdown)](https://openaitools.app/tool/n8n.md)

## Frequently Asked Questions

### How do Graph One and n8n compare in monthly traffic?

Graph One has 982 monthly visits, while n8n has 4,522,449. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Graph One has a month-over-month growth rate of -30.4%; n8n has -7.4%.

### How does pricing compare?

Graph One: Contact for Pricing. Graph One does not publish public pricing. The site promotes a demo-led process and describes the product as being in beta, so commercial terms are arranged directly with the company. n8n: Freemium. n8n offers a free self-hosted open-source edition, a paid cloud service with a free trial, tiered paid plans, and enterprise pricing on request. Feature limits scale with plan tier, so check the official pricing page for current details.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Unmatched ecosystem of app connectors and reliability, but significantly more expensive and lacks n8n's self-hosting freedom. | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 3 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) |
| 4 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Outstanding open-source visual canvas for RAG pipelines and LLM agents, but less suited for general API integrations. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 5 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Explore the academic literature as a visual graph of related papers | [.md](https://openaitools.app/tool/connected-papers.md) |
| 6 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Multiplayer AI where people and agents work side by side | [.md](https://openaitools.app/tool/dust.md) |
| 7 | [Success.ai](https://openaitools.app/tool/success-ai) | 547,073 | +6.3% | Freemium, Free Trial | AI sales platform for unlimited B2B leads and outreach | [.md](https://openaitools.app/tool/success-ai.md) |
| 8 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 9 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Powerful visual builder specifically tailored for complex AI agent workflows, but less mature for traditional enterprise automation. | [.md](https://openaitools.app/tool/gumloop.md) |
| 10 | [Deep Search](https://openaitools.app/tool/deep-search) | 359,001 | -52.7% | Paid | AI-enriched people profiles built from the public web, with sources you can verify | [.md](https://openaitools.app/tool/deep-search.md) |

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Source: https://openaitools.app/compare/graph-one-vs-n8n

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
