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nao vs Hex

Explore nao, the first open source analytics agent, as an alternative to Hex. Compare their context options, features, pricing, and more.

nao
Hex
Hex

About Hex

Hex is AI-native notebooks and data apps. Import or create metrics, define prompts and endorsed tables. Collaborative. For data teams doing analysis and apps.

Why choose nao over Hex?

  • Chat UI that is more adapted to any user — not just notebook users
  • Built-in evaluation framework — Hex has no eval tooling
  • Purpose-built analytics agent with native warehouse connection, not a notebook environment

Our review of Hex agent

Hex offers a rich context studio where you can configure a system prompt, semantics, and endorsed tables, either created in Hex or imported via GitHub Actions. The notebook and chart UI works well once you are comfortable with it, but it remains inherently technical and best suited to data practitioners. In our benchmark, chat responses were noticeably slow — often over a minute versus roughly 20 seconds elsewhere — and there is still no dedicated AI evaluation framework.

Feature comparison

FeaturenaoHex
End user UX
Chat interface, transparent SQL, interactive charts
Best notebook experience for data teams — still technical for other users
Data team UX
Synchronized context, built-in evaluation
Context studio with dbt integration — fast to set up for notebook-centric teams
Reliability
Evaluation framework + context versioning
No AI evaluation framework
Context flexibility
File system context
Mainly dbt and a single prompt, no external semantic layer
Monitoring
Audit logs, usage tracking, feedback loop
Basic usage
Cost
Open source / self-hosted
$75/seat

Context options

Context sourcenaoHex
Table sampling
dbt
Prompt
Rules
Skills
Any semantic layer
MCPs

Why choose nao

  • Chat UI that is more adapted to any user — not just notebook users
  • Built-in evaluation framework — Hex has no eval tooling
  • Purpose-built analytics agent with native warehouse connection, not a notebook environment

Why choose Hex

  • Works if your main need is a collaborative notebook for technical users who are comfortable writing and running code
  • Makes sense when you want to ship small data apps and dashboards directly from notebooks, not a dedicated analytics agent
  • Context studio with endorsed tables and dbt-backed semantics is helpful if you are already investing heavily in dbt and Hex