AI-powered analytics workspace enabling teams to analyze, visualize, and share data collaboratively using Python, SQL, and no-code tools.
Vendor
Hex Technologies
Company Website




Hex is a collaborative, AI-powered analytics platform that allows teams to explore, analyze, and visualize data in real time. It integrates Python, SQL, and no-code tools in a single notebook interface, enabling users of varying technical backgrounds to work together. Hex supports publishing interactive data apps, self-serve analytics, and seamless sharing of insights across organizations. The platform is designed for fast, flexible analytics and emphasizes security, real-time collaboration, and integration with modern data stacks.
Key Features
Integrated Notebook Environment Enables deep-dive analysis with support for Python, SQL, and no-code in a collaborative setting.
- Switch between code and no-code seamlessly
- Real-time editing, commenting, and version control
Data App Publishing Transforms analyses into interactive, shareable data apps for stakeholders.
- Build and publish interactive dashboards and workflows
- Allow business users to explore and provide feedback
Self-Serve Analytics Empowers non-technical users to answer questions with point-and-click tools.
- Natural language-driven insights
- Governed data and semantic model support
AI Assistance AI-powered features for faster analysis and intelligent query assistance.
- Magic AI tools for code completion and debugging
- Conversational AI interface for rapid answers
Enterprise-Grade Security Ensures data privacy and compliance.
- SOC2, HIPAA compliance
- Flexible deployment: multi-tenant, single-tenant, private cloud
Integration with Data Ecosystem Connects with popular data warehouses, orchestration tools, and APIs.
- Out-of-the-box integrations (dbt, Snowflake, Spark, GitHub, Airflow, etc.)
- Secure database connections with SSL and OAuth
Benefits
Accelerated Data-Driven Decision Making Enables faster insights and collaboration across teams.
- Reduces time from question to actionable answer
- Minimizes tool-switching and context loss
Empowers All Users Bridges technical and non-technical users for broader data access.
- Self-serve analytics for business stakeholders
- Reduces bottlenecks for data teams
Improved Collaboration and Transparency Centralizes analytics workflows and knowledge sharing.
- Real-time collaboration and commenting
- Version control and reusable components
Scalable and Secure Analytics Supports organizations of all sizes with robust security.
- Flexible deployment and authentication options
- Compliance with industry standards