Hex AI
Hex Technologies / hex.tech
AI-powered collaborative data notebook that combines SQL, Python, and AI assistance in a single shared workspace for data teams to analyse, visualise, and share insights.
Pricing
$24/mo
Free plan
Yes
Category
Developer Tools
Platforms
1
Free plan
Yes
API access
Yes
Open source
No
Platforms
1
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What is Hex AI?
Hex is a collaborative data analysis and data science notebook that combines SQL, Python, R, and Markdown cells in a single document with real-time collaboration similar to Google Docs for data work. Its AI layer, Magic AI, accelerates the most common friction points in data analysis workflows.
Magic AI generates SQL and Python code from natural language descriptions. A data analyst can describe what they want to compute — 'calculate 30-day rolling average of daily active users grouped by platform' — and Magic AI generates the appropriate SQL query or Python code, ready to run or edit. This is faster than writing queries from scratch for analysts who know what they want but spend time on the mechanics of query syntax.
The AI code explanation feature annotates existing code with natural language explanations — useful when working with someone else's analysis or revisiting old work. AI debug mode identifies errors in failing cells and suggests fixes.
Hex's collaborative features allow multiple analysts to work in the same notebook simultaneously with real-time sync, version history, and commenting — solving the problem of analysis scattered across individual Jupyter notebooks that colleagues cannot easily review or build upon.
At free for 3 projects and $24/month for Starter, Hex is accessible for individual analysts and small data teams, with the team plan providing the collaboration features most valuable for data team workflows.
How Hex AI works
Hex AI runs as llm assistant software built around text and code workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, with API access for teams that want to embed it into their own products.
Watch Hex AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Hex AI.
Magic AI
Generates SQL and Python code from natural language descriptions, explains existing code in plain English, and identifies and fixes bugs in failing notebook cells.
Real-time collaboration
Multiple analysts edit the same notebook simultaneously with real-time sync, version history, and commenting — solving the scattered individual Jupyter notebook problem for data teams.
SQL and Python in one notebook
Combine SQL queries, Python analysis, and Markdown narrative in a single document without switching between tools or managing separate environments.
Best use cases
Who should use it
Pros
- Real-time collaboration solves the scattered Jupyter notebook problem for data teams
- Magic AI accelerates SQL and Python query writing for the most common data analysis tasks
- Free plan allows meaningful individual use with 3 projects without time limitation
- Seamless SQL + Python in one notebook eliminates context switching between tools
Cons
- Free plan 3-project limit may constrain active individual users
- Hex is strong for exploration and presentation but not a replacement for production data pipeline tools
- Less adoption than Jupyter and Databricks notebooks for ML engineering workflows
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Is it worth the price?
Free plan (3 projects). Starter $24/month. Team $49/month. Enterprise custom.
Model
Freemium
Starting price
$24/mo
Free trial
No
Tools like Hex AI
Databricks provides a more powerful notebook for ML engineering and large-scale data. Jupyter Hub is the open source standard for data science. Observable provides web-based collaborative visualisation. Deepnote is a direct competitor to Hex for collaborative notebooks.
Hex AI vs Mode Analytics AI
A side-by-side look at the closest alternative in this category.
Hex AI
Hex Technologies
Mode Analytics AI
Mode
Free plan (3 projects). Starter $24/month. Team $49/month. Enterprise custom.
Mode acquired by ThoughtSpot. Standalone pricing custom. Contact for pricing. 14-day free trial.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
Data processed under Hex enterprise data handling agreements. Code and query content submitted to AI for generation processed on Hex's infrastructure.
Review Mode's data handling policy. Query results and report data processed on Mode's infrastructure.
- Real-time collaboration solves the scattered Jupyter notebook problem for data teams
- Magic AI accelerates SQL and Python query writing for the most common data analysis tasks
- Free plan allows meaningful individual use with 3 projects without time limitation
- Seamless SQL + Python in one notebook eliminates context switching between tools
- SQL, Python, and visualisation in one workspace eliminates tool-switching for data analysis workflows
- Collaborative web-based reports present analysis to stakeholders without requiring analytics software
- ThoughtSpot AI search integration adds natural language analytics for business users alongside analyst SQL
- AI SQL generation reduces time-from-question-to-data for routine ad-hoc analysis requests
- Free plan 3-project limit may constrain active individual users
- Hex is strong for exploration and presentation but not a replacement for production data pipeline tools
- Less adoption than Jupyter and Databricks notebooks for ML engineering workflows
- ThoughtSpot acquisition creates product direction uncertainty — evaluate roadmap alignment
- Less notebook-focused than Jupyter/Databricks for complex data science workflows
- Pricing requires direct engagement as the ThoughtSpot integration evolves
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
OpenAI, Anthropic
Platforms
Web
Deployment
SaaS
Integrations
Snowflake, BigQuery, Redshift, Databricks, dbt, API
Team Collaboration
Yes
Launch Year
2023
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
Data processed under Hex enterprise data handling agreements. Code and query content submitted to AI for generation processed on Hex's infrastructure.
What users are saying
Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.
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Common questions about Hex AI
Editorial Verdict
Should you use Hex AI?
Hex is the best collaborative data notebook for data teams who want AI-assisted SQL and Python analysis in a shared environment, replacing scattered individual Jupyter notebooks with a collaborative single-source-of-truth analysis workspace.
Last verified July 24, 2026.