THE COMPARISON / A CLOSER LOOK

Google Vertex AI Agent Builder vs Dust AI

Compare the listed plans, useful capabilities, and practical tradeoffs.

Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.

Google Vertex AI Agent Builder

🟡Low Code

AI Tools for Business

Google Cloud's managed platform for building and deploying AI agents with grounding in enterprise data, Google Search, and custom knowledge bases.

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Starting Price

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Dust AI

🟢No Code

AI Tools for Business

Dust AI is a European (Paris-based) enterprise platform for building and running company-wide AI agents connected to Slack, Notion, GitHub, Google Drive…

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Starting Price

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Feature Comparison

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FeatureGoogle Vertex AI Agent BuilderDust AI
CategoryAI Tools for BusinessAI Tools for Business
Pricing Plans1 listed plan3 listed plans
Starting PriceContactContact
Key Features
  • • Enterprise Data Grounding: Ground agents in company documents, websites, BigQuery datasets, and custom data sources to ensure responses are based on verified organizational knowledge.
  • • Managed RAG Infrastructure: Automatic document chunking, embedding, indexing, and retrieval — enterprise-grade RAG without building custom vector search infrastructure.
  • • Multi-Agent Types: Build conversational agents, search agents, and generative agents with different capabilities optimized for specific use cases.
  • • Custom AI agent builder with no-code interface
  • • Native data connections to Slack, Notion, Google Drive, GitHub, Confluence, Intercom, Zendesk
  • • SOC 2 Type II compliance and GDPR compliance

Google Vertex AI Agent Builder - Pros & Cons

Pros

  • ✓Fully managed — no infrastructure to maintain
  • ✓Excellent enterprise data grounding reduces hallucination
  • ✓Seamless Google Cloud ecosystem integration
  • ✓Both no-code and code-first development paths
  • ✓Strong enterprise security and compliance

Cons

  • ✗Locked to Google Cloud ecosystem
  • ✗Per-query pricing can be expensive at scale
  • ✗Less flexible than self-hosted agent frameworks
  • ✗Gemini model limitations apply to agent capabilities

Dust AI - Pros & Cons

Pros

  • ✓EU data residency is a decisive advantage for European buyers vs US-only alternatives
  • ✓Open-source SDK removes vendor-marketplace bottlenecks for custom integrations
  • ✓€29/user/month Pro is easier to model and budget than message-metered enterprise pricing
  • ✓Strong native connector list matches the SaaS stack of most European scale-ups
  • ✓Personal → team → company-wide assistant promotion enables organic bottom-up adoption

Cons

  • ✗Public pricing sits behind a JS-rendered page and isn't easy to compare in a spreadsheet
  • ✗Smaller US brand recognition than Glean or Microsoft Copilot Studio
  • ✗Marketplace of prebuilt integrations is more limited than Zapier-scale competitors
  • ✗Per-seat model can add up quickly if you want every employee to have optional access
  • ✗Enterprise controls (custom SSO, on-prem, air-gapped) are gated to the Enterprise tier

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Review Google Vertex AI Agent BuilderReview Dust AI