What is Hex?

Hex is an AI analytics platform that consolidates notebooks, conversational self‑serve, and data apps into one connected workspace. It relies on a shared context engine that incorporates semantic models, business rules, and database schema to deliver consistent, trustworthy insights.

Data scientists can write code in notebooks, while business users can pose plain‑language queries through Threads or Slack and receive AI‑generated analysis. Publish interactive dashboards and embedded analytics with a single click, enabling collaboration across the data team.

Native connectors support major warehouses (Snowflake, BigQuery, Redshift, etc.) and integrations with dbt, GitHub, Airflow, and Prefect. The platform is designed for analysts, data engineers, and non‑technical stakeholders who need accurate, actionable insights from their data.

Hex pricing Freemium

Extra small $0

Small $0

Medium $0

Large $0.32

Extra large $0.65

2xl $1.29

4xl $2.58

L4 gpu $2.93

A10g gpu $4.06

Verify on the official pricing page.

View plans

Hex user reviews

Based on 21 reviews, 76.2% of users recommend Hex, rated highly for quality results.

recommend

don't

21 reviews

Liked for

Quality results 14 of 16

Worth the price 13 of 16

Easy to use 12 of 16

All key features 11 of 16

Good integrations 10 of 16

Disliked for

Missing features 4 of 5

Lacks integrations 3 of 5

Inconsistent results 2 of 5

Hard to use 2 of 5

Would you recommend Hex?

Recommend this tool?

Hex's key features

AI agent auto-generates SQL and charts
First-class SQL editor with Jinja, dbt
Python and R with AI fixes
No-code data exploration and visualizations
Graph-based execution for reproducibility
Infinite data scale with warehouse compute
Hosted, secure compute with Docker images

Hex use cases

Enable data analysts to embed interactive dashboards into internal portals, letting non‑technical stakeholders ask Snowflake queries via Slack and instantly see results without writing SQL.
Collaboratively build machine‑learning notebooks in Hex, while business users validate model outputs through conversational threads, ensuring data science insights are aligned with strategic goals.
Accelerate quarterly financial reporting by merging BigQuery data into a single Hex workspace, allowing finance teams to run self‑serve, semantically‑contextualized queries and export ready‑to‑publish visualizations.