Hex

What is Hex?

Hex is an AI analytics platform that combines agentic data notebooks, conversational self-service, and interactive data applications in one workspace. It serves data practitioners who need code-based analysis and business users who want answers in plain language, with both groups working from the same governed organizational context.

A shared context engine uses database descriptions, semantic models, business rules, metric definitions, and analytical logic to ground generated answers. Data teams can observe how agents answer questions, identify inconsistencies, improve context, and govern access. Users can ask questions inside Hex, through Slack, or through MCP, while analysts can continue deeper investigations in notebooks that support queries, charts, and chained analyses.

How to Use Hex

1. Connect Hex to a supported data warehouse, lakehouse, or database.
2. Add semantic models, database descriptions, business rules, metrics, and other organizational context.
3. Ask a data question in plain language or open a notebook for code-based analysis.
4. Let the agent write queries, build charts, or chain analytical steps, then inspect and edit the work.
5. Publish the result as a dashboard, report, presentation, or interactive data app and share it with collaborators.

Core Features

• Agentic notebooks: Uses an AI agent to write queries, create charts, debug work, and coordinate complex analysis.
• Conversational analytics: Lets business users ask questions without SQL or Python in Hex, Slack, or MCP-enabled tools.
• Context Studio: Curates shared definitions and context while providing observability into agent answers.
• Data apps: Builds dashboards, reports, presentations, and interactive applications on governed data.
• Warehouse integrations: Connects with Snowflake, Redshift, BigQuery, Databricks, Postgres, ClickHouse, MySQL, and other systems.
• Workflow integrations: Supports dbt metadata, GitHub or GitLab project export, orchestration tools, and a public API.

Use Cases

• Exploratory analysis: Data practitioners investigate complex questions with SQL, Python, charts, and AI assistance.
• Business self-service: Nontechnical users ask natural-language questions grounded in approved metrics and data.
• Dashboard and app creation: Teams turn analysis into interactive resources for decision-makers.
• Analytics governance: Data teams monitor agent behavior and improve shared context over time.
• Embedded and connected workflows: Organizations bring answers into Slack, MCP tools, and orchestrated data pipelines.

Pricing

The homepage states that users can get started for free, but it does not provide plan limits or paid prices on the supplied page.

Frequently Asked Questions

Can business users work without SQL or Python?

Yes. Hex states that users can ask questions in plain language and receive analysis backed by organizational data and business rules.

Does data have to move out of the warehouse?

The site says Hex connects natively to platforms such as Snowflake and Databricks so existing data and permissions can remain in place.

Can teams inspect AI answers?

Yes. Hex provides observability into agent responses and tools for curating and improving context.