Hex

Hex is an AI analytics platform that brings together data analysis, self-serve analytics, and data apps in one unified workspace. It allows data practitioners to perform deep analysis using SQL and Python in agentic notebooks, while business users can ask questions in plain language via conversational threads. A shared context engine ensures that all insights are grounded in consistent business logic and data definitions.

Key Features

• Agentic notebooks for deep-dive analysis with AI assistance
• Conversational self-serve for plain-language questions
• Context Studio for building semantic models and AI governance
• Data apps for creating interactive dashboards and reports
• Embedded analytics to ship customer-facing data experiences

Integrations

Hex connects directly to popular data warehouses (Snowflake, BigQuery, Databricks, PostgreSQL, etc.) and supports version control with GitHub and GitLab. It also integrates with orchestration tools like Airflow, Dagster, and Prefect.

Who It’s For

Hex is designed for data leaders, data practitioners (analysts, scientists, engineers), and business users who need trusted, consistent insights without switching between multiple tools.

How It Works

Users connect Hex to their data warehouse via built-in connectors or a public API. Data teams build notebooks and publish them as apps, while business users interact with conversational threads in Hex or Slack. Every query and analysis is powered by the same governed context, eliminating inconsistencies.

Key Benefits

• Unified workspace for code-based analysis and self-serve
• AI agents enable natural language data queries
• Deep integrations with data warehouses and tools
• Shared context engine ensures consistent insights