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FactQL AI vs n8n
n8n automates workflows, but does not provide built-in execution-verified data querying like FactQL.
Short answer: Pick FactQL AI if you want verified natural-language data queries; pick n8n if you want low-code AI-enabled workflow automation. Both have a free plan.
FactQL AIAdd "ask your data" to your app in one API call
n8nWorkflow automation with AI, cloud or self-hostedWhich to pick
Pick FactQL AI if you want…
- Verified natural-language data queries
Pick n8n if you want…
- Low-code AI-enabled workflow automation
- Workflow automation
Side by side
- What it is
- FactQL AI:FactQL AI provides an API that lets apps ask natural-language questions over databases, spreadsheets or PDFs and returns verified SQL, results and lineage.
- n8n:n8n is a workflow automation platform that combines AI, code, and no-code to build and run integrations.
- Best for
- FactQL AI:Verified natural-language data queries
- n8n:Low-code AI-enabled workflow automation
- Who it’s for
- FactQL AI:Developers building AI agents or apps that need trustworthy data answers.
- n8n:Technical teams needing flexible automation with AI and code control
- Pricing
- FactQL AI:Freemium
- n8n:Freemium
- Free plan or trial
- FactQL AI:Free plan (Free) · Free trial
- n8n:Free trial
- Plans
- FactQL AI:Free $0
- n8n:Starter 20€/mo billed annually · Pro 50€/mo billed annually · Business 667€/mo billed annually
- Open source
- FactQL AI:Yes, 0 GitHub stars
- n8n:Yes, 206,435 GitHub stars
- Works with
- FactQL AI:PostgreSQL, MySQL, DuckDB, CSV, XLSX, PDF, Claude, Cursor
- n8n:—
FactQL AI features
- One-call API. Send a plain-English question via a single POST and receive answer, SQL, rows and lineage in JSON.
- Execution-verified answers. The model drafts a query, runs it, verifies results and self-corrects before responding.
- Multi-source support. Connect to Postgres, MySQL, DuckDB, CSV/XLSX files or cited PDFs through the same endpoint.
- Fail-closed isolation. If verification fails the API returns a 4xx error, never guessing or exposing wrong numbers.
- Embeddable chat component. Add a drop-in chat UI for end-users with private conversations via X-End-User-Id.
- MCP server integration. Expose the service to Claude, Cursor, VS Code or any MCP-compatible app without installing anything.
n8n features
- AI nodes & agents. Add AI agents or AI steps to workflows, choose models and set guardrails.
- Code steps (JS/Python). Write JavaScript or Python directly in any workflow node.
- Extensive integrations. Over 500 pre-built integrations and ability to import cURL commands.
- Version control & environments. Git-based versioning, multiple environments and visual diffs for safe deployment.
- Observability. Logs interleaved with code, audit logs, real-time alerts and usage dashboards.
- Security & governance. On-prem deployment, SSO/SAML/LDAP, encrypted secret store, RBAC and AI governance.
FactQL AI vs n8n FAQ
What is the difference between FactQL AI and n8n?+
n8n automates workflows, but does not provide built-in execution-verified data querying like FactQL.
Should I use FactQL AI or n8n?+
Pick FactQL AI if you want verified natural-language data queries. Pick n8n if you want low-code AI-enabled workflow automation or workflow automation.
Is FactQL AI or n8n free?+
FactQL AI has a free plan and paid plans. n8n has a free plan and paid plans.
Is FactQL AI or n8n open source?+
Yes, both are open source: FactQL AI (factql/factql-mcp on GitHub, MIT license) and n8n (n8n-io/n8n on GitHub).
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.