Hex

Hex is an AI analytics platform that brings data teams and business users into one workspace. Analysts write SQL and Python in shared notebooks, while anyone can ask questions in plain language and get answers grounded in real data. You can build data apps, dashboards, and reports on top of the same trusted context. It connects to popular warehouses and works in Hex, Slack, or through APIs. Built-in governance and sharing keep every answer safe to act on. Check the official site for current plans.

Key Features

1. Notebooks

Write SQL and Python in shared notebooks that mix code, charts, and notes. Hex's AI can scaffold queries, explain results, and help you debug.

2. Threads

Business users ask questions in plain language inside Hex, Slack, or over MCP. Every answer is grounded in your data, metrics, and business rules.

3. Data Apps

Turn any analysis into an interactive app with inputs, buttons, and filters. Non-technical teammates explore the data without writing a single line of code.

4. Dashboards

Build live dashboards from notebook cells so everyone sees the same numbers. They update from one shared context, not from scattered spreadsheets.

5. Context Engine and Integrations

Its shared context engine holds semantic models and business rules to keep AI answers consistent. It connects to Snowflake and BigQuery, and exports to GitHub.

Frequently Asked Questions (FAQ)

What is Hex?

Hex is an AI analytics platform and one connected workspace for data work. Data teams run deep analysis while business users ask plain-language questions on the same data.

Do business users need to know SQL?

No. Threads let anyone ask questions in plain language in Hex or Slack. AI generates the analysis from your data, and an analyst can jump in for harder questions.

What data can Hex connect to?

Popular data warehouses, lakehouses, and databases, with built-in connectors and OAuth for your warehouse logins. It also integrates deeply with dbt for docs and metrics.

How does Hex keep AI answers trustworthy?

Its context engine combines database descriptions, semantic models, and business rules into one curated layer. Teams can observe questions, run evals, and improve context over time.

How is Hex different from asking ChatGPT about my data?

General AI assistants guess from training data. Hex grounds every answer in your organization's data, definitions, and rules, with governance and repeatable results.

Conclusion

Hex gives data teams one AI-native workspace for notebooks, apps, and dashboards, while business users get trusted answers in plain language. It suits teams that want self-serve analytics without losing accuracy or control. The context engine keeps every answer tied to the same verified data. Governed, repeatable analysis replaces scattered notebooks and one-off requests, and keeps everyone aligned.