Stack AI vs Langflow

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

Stack AI

🟡Low Code

Enterprise AI app builders

Stack AI — an enterprise platform for building AI assistants and workflow applications on top of company data, models, and business processes.

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Starting Price

Free
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Langflow

🟡Low Code

AI Development Platforms

Langflow is a low-code AI builder for agents, RAG apps, and MCP servers, with open-source roots and cloud pricing needing verification.

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Starting Price

Free
Full ReviewVisit Site

Feature Comparison

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FeatureStack AILangflow
CategoryEnterprise AI app buildersAI Development Platforms
Pricing Plans17 tiers267 tiers
Starting PriceFreeFree
Key Features
  • • Visual Agent Development Platform
  • • Enterprise Compliance (SOC 2, HIPAA, GDPR, ISO 27001)
  • • Knowledge Base & RAG Integration
  • • Low-code visual builder for agentic and RAG applications
  • • Build and deploy AI agents and MCP servers
  • • Supports major LLMs, vector databases, and AI tools

Stack AI - Pros & Cons

Pros

  • ✓Designed for enterprise buyers that care about governance, data connections, and internal rollout
  • ✓Good fit for document-heavy workflows where generic chat tools lack process control
  • ✓Low-code approach can help operations teams build without waiting on full custom software

Cons

  • ✗Public pricing is not transparent, so small teams may struggle to estimate cost before sales calls
  • ✗Enterprise controls add implementation work compared with lightweight no-code tools
  • ✗No first-party MCP support was visible in fetched pages

Langflow - Pros & Cons

Pros

  • ✓Excellent learning environment for teams that need to see how LLM, vector database, prompt, and tool components connect.
  • ✓MCP server positioning makes it relevant for modern agent infrastructure, not just chatbot demos.
  • ✓Open-source roots reduce lock-in compared with fully closed no-code builders.

Cons

  • ✗Public cloud pricing could not be verified from fetched HTML, so teams need to confirm costs manually.
  • ✗Visual flows still require AI engineering judgment for retrieval quality, evals, and security.
  • ✗Large production deployments may need professional support or dedicated technical ownership.

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🔒 Security & Compliance Comparison

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Security FeatureStack AILangflow
SOC2✅ Yes—
GDPR✅ Yes—
HIPAA✅ Yes—
SSO🏢 Enterprise—
Self-Hosted✅ Yes✅ Yes
On-Prem✅ Yes✅ Yes
RBAC🏢 Enterprise—
Audit Log🏢 Enterprise—
Open Source❌ No✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes—
Encryption in Transit✅ Yes—
Data Residencyconfigurable—
Data Retentioncustomizableconfigurable
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Read the full reviews to make an informed decision

Review Stack AIReview Langflow