Hex is a collaborative data workspace that allows data teams to build, analyze, and share powerful data workflows, visualizations, and applications—all in one place. Designed for data analysts, scientists, and business stakeholders, Hex brings the power of code, SQL, and AI together in a notebook-style interface with rich visualization and collaboration tools.
With Hex, teams can write and run code in Python or SQL, build interactive data apps without frontend experience, and share live dashboards or documents. It eliminates the need to switch between Jupyter notebooks, BI tools, and dashboards by combining everything into a single platform—enabling faster insights and better decision-making across the organization.
Features
Notebooks with SQL + Python Support
Use both SQL and Python in the same workspace to query, manipulate, and analyze data seamlessly.Interactive Data Apps
Turn notebooks into live, interactive apps with input controls like dropdowns and sliders—no frontend coding needed.AI-Powered Assistance
Hex’s built-in AI helps generate queries, suggest code, and assist with documentation.Data Visualization
Create charts, tables, and maps directly in the notebook. Choose from native visualizations or bring in libraries like Plotly and Matplotlib.Real-Time Collaboration
Work simultaneously with teammates, leave comments, and version notebooks like Google Docs for data.Data Connections
Connect to data warehouses like Snowflake, BigQuery, Redshift, Databricks, and PostgreSQL.Publishing & Sharing
Publish notebooks as secure apps, dashboards, or reports with adjustable access permissions.Version Control & Audit Logs
Track changes, revert to previous versions, and maintain transparency with full version histories.Environment & Dependency Management
Isolated runtime environments ensure reproducibility and easy management of Python libraries.Granular Permissions
Manage user access at the workspace, project, or notebook level for enterprise-grade governance.
How It Works
Hex is designed to make data work collaborative, efficient, and shareable. Here’s how a typical workflow looks:
Step 1: Connect Your Data
Link your data warehouse (e.g., Snowflake or BigQuery) to Hex using built-in connectors.
Step 2: Build in the Notebook
Write SQL or Python to explore data, apply logic, and generate visuals in an interactive notebook interface.
Step 3: Use AI for Speed
Hex’s AI can autocomplete code, write SQL queries from natural language, and summarize complex analyses.
Step 4: Add Interactivity
Create dynamic input controls (e.g., filters, dropdowns) so users can interact with your analysis.
Step 5: Publish and Share
Turn your notebook into a live app, secure report, or dashboard and share it with internal or external users.
Use Cases
Data Analysis & Reporting
Replace static dashboards with interactive data apps that allow exploration and drill-down.Experiment Tracking
Data scientists can document, iterate, and share ML experiments all in one place.Business Intelligence
Empower business teams with self-serve analytics through interactive notebooks instead of one-off reports.Data Storytelling
Craft narrative reports with inline text, visuals, and code to communicate insights effectively.Revenue and Product Analytics
Analyze product usage, customer segmentation, and revenue trends collaboratively and in real time.
Pricing
As of June 2025, Hex offers the following pricing tiers:
Free Plan
1 workspace
3 users
Unlimited notebooks
Community support
Basic connectors (e.g., CSV upload)
Starter – $15/user/month
Up to 10 users
SQL & Python support
Live data connections
App publishing
AI features
Pro – Custom Pricing
Unlimited users
SSO/SAML
Role-based access controls
Dedicated support
Advanced governance & integrations
For full details and trial options, visit: https://hex.tech/pricing
Strengths
Combines SQL, Python, and visualization in a single, shareable workspace
Powerful for both technical and semi-technical users
AI features speed up analysis and reduce repetitive tasks
Eliminates the need for multiple tools (BI, notebooks, dashboards)
Secure sharing of interactive data apps
Excellent integration with modern data stacks (e.g., Snowflake, dbt)
Drawbacks
Learning curve for users unfamiliar with notebooks or scripting
More developer-focused compared to traditional drag-and-drop BI tools
Limited offline support (cloud-first environment)
Some advanced features only available in paid tiers
Comparison with Other Tools
Hex vs. Jupyter Notebooks
Jupyter is great for local data science work. Hex adds collaboration, versioning, visualizations, and sharing features not available in Jupyter.
Hex vs. Looker/Tableau
Looker/Tableau focus on dashboards. Hex is more flexible, allowing exploratory analysis and code-based workflows with app-like interactivity.
Hex vs. Observable
Observable is JavaScript-based and focused on visualization. Hex is SQL/Python-first and optimized for data workflows and AI use.
Hex vs. Deepnote
Both offer collaborative notebooks, but Hex has stronger app-building, publishing, and BI features.
Customer Reviews and Testimonials
Hex is used by leading companies such as Notion, Glossier, Brex, and AngelList. Users consistently praise its modern interface and collaboration capabilities.
“Hex changed how we deliver insights—now we build interactive reports our business teams can actually use.”
— Data Lead, Fintech Company
“Combining SQL, Python, and visualization in one tool saves us hours every week.”
— Product Analyst, SaaS Platform
“It’s like a modern version of Jupyter, but with collaboration and business usability built in.”
— Data Scientist, E-commerce Brand
Conclusion
Hex is redefining how data teams work together by merging analytics, AI, and app-building into a single, collaborative environment. Its flexible notebook interface, AI-enhanced workflows, and live publishing features make it an ideal solution for modern organizations looking to unlock deeper insights and share them more effectively.
Whether you’re exploring data trends, building dashboards, or enabling business users with interactive tools, Hex empowers data teams to move faster, collaborate better, and deliver more impactful work.
