Google Vertex AI Agent Builder vs Dust AI

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

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.

Was this helpful?

Starting Price

Contact

Dust AI

🟢No Code

AI 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.

Was this helpful?

Starting Price

Contact

Feature Comparison

Scroll horizontally to compare details.

FeatureGoogle Vertex AI Agent BuilderDust AI
CategoryAI Tools for BusinessAI Tools for Business
Pricing Plans4 tiers4 tiers
Starting PriceContactContact
Key Features
    • Custom AI agent builder with no-code interface
    • Native data connections to Slack, Notion, Google Drive, GitHub
    • 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

    • Best-in-class data connectors make connecting company knowledge sources genuinely painless
    • Zero-data-retention with SOC 2 Type II actually addresses enterprise security concerns rather than just claiming to
    • Agents deploy where teams work (Slack, Chrome, Zendesk) — not locked in a separate app that gets ignored
    • No-code agent builder means non-technical team leads can create and maintain agents for their departments
    • Multi-model routing keeps costs reasonable while using premium models only where quality demands it

    Cons

    • €29/user/month adds up quickly for large teams — a 50-person org pays €1,450/month before Enterprise features
    • Fair use message limits on Pro are vaguely defined — heavy users may hit throttling without clear thresholds
    • Less flexible than code-first frameworks for teams wanting custom retrieval logic, fine-tuned models, or complex multi-step agents
    • Data source storage at 1GB/user on Pro may be insufficient for teams with large document collections
    • Enterprise tier requires 100+ users minimum, creating a gap for mid-market teams of 20-99

    Not sure which to pick?

    🎯 Take our quiz →
    🦞

    New to AI tools?

    Learn how to run your first agent with OpenClaw

    🔔

    Price Drop Alerts

    Get notified when AI tools lower their prices

    Tracking 2 tools

    We only email when prices actually change. No spam, ever.

    Get weekly AI agent tool insights

    Comparisons, new tool launches, and expert recommendations delivered to your inbox.

    No spam. Unsubscribe anytime.

    Ready to Choose?

    Read the full reviews to make an informed decision