nao vs Dust
Explore nao, the first open source analytics agent, as an alternative to Dust. Compare their context options, features, pricing, and more.
About Dust
Dust is an AI platform for internal company assistants over knowledge sources like Notion, Slack, CRMs, and documents. It can also connect to your data warehouse for analytics use cases.
Why choose nao over Dust?
- Direct dbt integration — no scripts or indirect connectors needed
- Built-in evaluation framework and real usage log tracking
- Purpose-built for data analytics, not general knowledge retrieval
Our review of Dust agent
Dust is very easy to get running: connect BigQuery and you can start asking questions quickly, and the Frame UI works well for business users. Adding more structured context such as dbt, semantics, or documentation requires indirect paths via MCPs, scripted file syncs, or GitHub connections, and there is no real evaluation framework or log tracking for data teams. It works well as a general AI assistant, but feels light for production analytics.
Feature comparison
| Feature | nao | Dust |
|---|---|---|
| End user UX | Chat interface, transparent SQL, interactive charts | Clean AI assistant UI, broad knowledge retrieval |
| Data team UX | Synchronized context, built-in evaluation | No SQL/dbt tooling — knowledge retrieval focus, not data-native |
| Reliability | Evaluation framework + context versioning | No query evaluation framework |
| Context flexibility | File system context | Mostly via MCPs — dbt, rules, semantic layer |
| Monitoring | Audit logs, usage tracking, feedback loop | Basic usage logs, no eval framework |
| Cost | Open source / self-hosted | $35/seat |
Context options
| Context source | nao | Dust |
|---|---|---|
| Table sampling | ||
| dbt | via MCP | |
| Prompt | ||
| Rules | ||
| Skills | ||
| Any semantic layer | via MCP | |
| MCPs |
Why choose nao
- Direct dbt integration — no scripts or indirect connectors needed
- Built-in evaluation framework and real usage log tracking
- Purpose-built for data analytics, not general knowledge retrieval
Why choose Dust
- Generalist AI assistant platform — useful for Notion, Slack, and documents alongside data
- Good business user UI with frame-based conversations
- Already adopted by teams using Dust for other internal AI use cases
