Dust AI vs Glean
Detailed side-by-side comparison to help you choose the right tool
Dust AI
🟢No CodeAI Tools for Business
Dust AI: Enterprise AI agent platform for building custom assistants connected to company data sources like Slack, Notion, Google Drive, and GitHub with SOC 2 Type II compliance.
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🟢No CodeKnowledge Management
Enterprise Work AI platform: a permissions-aware search index across 100+ SaaS apps, an Assistant that answers questions over company knowledge, plus an Agent Builder for no-code horizontal AI agents.
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💡 Our Take
Choose Dust AI if you want customizable, no-code agents and self-serve Pro pricing at €29/user/month for teams under 100. Choose Glean if your primary need is best-in-class enterprise search ranking across a very large org with deep permissions modeling and you have budget for $40–50/user/month plus annual contracts.
Dust AI - Pros & Cons
Pros
- ✓Best-in-class data connectors — Slack, Notion, Google Drive, GitHub, Confluence, Intercom, and Zendesk sync automatically without custom ETL work
- ✓Zero-data-retention policy backed by audited SOC 2 Type II and GDPR compliance addresses real enterprise security review concerns
- ✓Agents deploy where teams already work via native Slack, Chrome Extension, Zendesk, API, Zapier, and Google Sheets integrations
- ✓No-code agent builder lets non-technical team leads create department-specific agents (sales, support, engineering) without engineering tickets
- ✓Multi-model routing across GPT-4o, Claude, Gemini, and Mistral keeps inference costs reasonable while reserving premium models for complex tasks
- ✓Proven enterprise readiness with SOC 2 Type II certification and Stripe-alumni leadership team
Cons
- ✗€29/user/month adds up quickly — a 50-person org pays €1,450/month before Enterprise features, and that excludes setup overhead
- ✗Fair-use message limits on the Pro plan are vaguely defined, so heavy users may hit throttling without clear published thresholds
- ✗Less flexible than code-first frameworks like LangChain or CrewAI for teams wanting custom retrieval logic, fine-tuned models, or complex multi-step orchestration
- ✗1GB/user data source storage on Pro can be insufficient for document-heavy organizations with large Drive or Notion footprints
- ✗Enterprise tier requires a 100+ user minimum, leaving mid-market teams of 20–99 in an awkward gap between Pro and Enterprise pricing
Glean - Pros & Cons
Pros
- ✓Permissions-aware index across 100+ SaaS connectors is the cleanest ACL-respecting implementation in enterprise Work AI
- ✓BYO-LLM model layer avoids vendor lock-in and lets security pick the model and region
- ✓Pre-built agent marketplace plus no-code Agent Builder lets IT roll out common workflows without writing code
Cons
- ✗Sales-led pricing with no public per-seat list price slows budget approvals (this entry needs manual pricing verification)
- ✗Deployment is real work — connector configuration, ACL validation, and rollout commonly take weeks
- ✗No first-party MCP server; MCP-style tool integrations require custom adapters built over the Glean API
Not sure which to pick?
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