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
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.
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.
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The capabilities that matter most for teams evaluating Hex 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.
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.
Combine SQL queries, Python analysis, and Markdown narrative in a single document without switching between tools or managing separate environments.
Free plan (3 projects). Starter $24/month. Team $49/month. Enterprise custom.
Model
Freemium
Starting price
$24/mo
Free trial
No
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.
A side-by-side look at the closest alternative in this category.
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
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.
Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.
Editorial Verdict
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.
Free plan (3 projects). Starter $24/month. Team $49/month. Enterprise custom.
Open source and free. MindsDB Cloud with managed infrastructure from $49/month. Enterprise custom.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
Review MindsDB's data handling policy. Cloud version processes data on MindsDB's infrastructure. Self-hosted keeps data within customer infrastructure.
Data processed under Hex enterprise data handling agreements. Code and query content submitted to AI for generation processed on Hex's infrastructure.
Open source self-hosted deployment keeps all data within customer infrastructure. MindsDB Cloud transmits query data to MindsDB's infrastructure — review privacy policy.
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