nao vs Count

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

About Count

Count is an AI analysis canvas. Connect data, add a prompt. The agent works with assets you put on the canvas. For visual, canvas-based analysis.

Why choose nao over Count?

Reliable data discovery — does not require pre-loading assets into a canvas
Full context engineering: dbt, rules, and table sampling automatically loaded
Built-in evaluation framework for measuring answer accuracy

Our review of Count agent

Count was very easy to start using: the trial flow, data connection, and dbt hook‑up all worked smoothly. However, the agent context is essentially just a single prompt, and the UI felt unintuitive in practice, with the agent appearing to only “see” assets already placed on the canvas. Even after adding the right table to the canvas we could not get it to search the underlying database reliably, so our experiment ended there.

Feature comparison

Feature	nao	Count
End user UX	Chat interface, transparent SQL, interactive charts	Visual analysis canvas + notebooks — collaborative exploration focus
Data team UX	Synchronized context, built-in evaluation	Fast to set up — uses your existing Count canvas setup
Reliability	Evaluation framework + context versioning	No AI evaluation framework
Context flexibility	File system context	dbt + Count semantics — canvas-bound access only
Monitoring	Audit logs, usage tracking, feedback loop	No evaluation or log tracking
Cost	Open source / self-hosted	$49/seat