THE COMPARISON / A CLOSER LOOK

Databricks Mosaic AI Agent Framework 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.

Databricks Mosaic AI Agent Framework

AI Tools for Business

Databricks Mosaic AI Agent Framework (marketed as Agent Bricks in 2026) is Databricks' end-to-end platform for building, evaluating, and serving production AI…

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Starting Price

~$0.07/DBU pay-as-you-go; enterprise commits typically start at $50K+/year

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…

SOURCE-CHECK COVERAGE

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Starting Price

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Feature Comparison

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FeatureDatabricks Mosaic AI Agent FrameworkDust AI
CategoryAI Tools for BusinessAI Tools for Business
Pricing Plans3 listed plans3 listed plans
Starting Price~$0.07/DBU pay-as-you-go; enterprise commits typically start at $50K+/yearContact
Key Features
  • • Agent Bricks: Knowledge Assistant with Instructed Retriever technology
  • • Unity Catalog native data governance and access control
  • • MLflow evaluation and monitoring for generative AI applications
  • • 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

Databricks Mosaic AI Agent Framework - Pros & Cons

Pros

  • ✓One workspace for data, models, and agents — governance flows through Unity Catalog
  • ✓Native RAG over Delta tables removes a full ETL layer vs a separate vector DB
  • ✓Serverless endpoints scale to zero, so idle agents cost nothing
  • ✓First-class MLflow tracing/eval; no separate observability vendor required
  • ✓Deep bench of hosted models (Llama, Claude, DBRX) with unified billing

Cons

  • ✗DBU-based pricing is opaque compared to flat SaaS or per-token retail
  • ✗Requires an active Databricks contract — not a standalone product
  • ✗Framework assumes Databricks notebook/MLflow ergonomics
  • ✗Third-party model per-token pricing isn't published on marketing pages
  • ✗Overkill if your data doesn't already live in the Lakehouse

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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