Hex Review: Features, Pricing & Alternatives

What is Hex?

Hex is an analytics platform built around collaborative notebooks. Analysts write SQL and Python side by side, chart the results and publish them as interactive apps or dashboards. On top of that sits an AI agent that can write queries, explain results and build analyses, plus a chat-style experience called Threads that lets business users ask questions of company data in plain language.

Hex Technologies is based in San Francisco and was founded in 2019. In May 2025 it raised a $70 million Series C with investors including a16z, Amplify, Redpoint, Sequoia and Snowflake, and said more than 1,500 teams used the product. Since then Hex has leaned into what it calls agentic analytics, adding agentic notebooks, generative data apps built from a prompt, and Context Studio for managing metric definitions and testing agent accuracy.

What sets Hex apart is that it serves both sides of a data organization. Data scientists get a full code environment with version history, compute options and Git integration, while business users can explore published apps, drill into charts or chat with the agent in Hex, Slack or via MCP. A semantic layer keeps both groups working from the same definitions.

Key features of Hex

• Agentic notebooksSQL, Python and no-code cells live in one notebook, with an AI agent that can write, fix and explain code as you work.
• ThreadsA conversational analytics experience where users ask questions in plain language and drill into answers with follow-ups.
• Data apps and dashboardsPublish notebooks as interactive apps, or generate dashboards from a prompt, for stakeholders who never touch code.
• Context Studio and semantic layerCentralize metric definitions and business rules, with evals and observability to check how accurately the agent answers.
• Warehouse integrationsConnects to Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse and more, with dbt metadata sync.
• Slack, MCP and CLI accessQuery data from Slack or AI tools via MCP, and work with Hex projects from the command line.

Who is Hex best for?

• Data analysts and scientists who want SQL, Python and AI assistance in one shared notebook.
• Analytics engineers who need a semantic layer and dbt integration so answers stay consistent.
• Business teams that want to self-serve answers through apps, dashboards or chat without filing tickets.
• Startups and scale-ups that want a modern alternative to older BI tools without a large rollout.

Popular ways to use Hex

• Exploratory analysis: mix SQL and Python to investigate a drop in conversion rates.
• Self-serve questions: let sales or finance ask questions in Threads instead of waiting on the data team.
• Stakeholder dashboards: publish a notebook as an interactive app with filters and drill-downs.
• Scheduled reporting: run notebooks on a schedule and send alerts when metrics change.
• Data science workflows: build models in Python on warehouse data and share the results.

Hex pricing (October 2026)

Prices are per editor per month. Larger compute profiles are paid add-ons charged by the hour, and Explorer seats for lighter users are sold as add-ons.

Hex pros and cons

How to get started with Hex

1. Create a free Community account at hex.tech.
2. Connect your warehouse or upload a CSV.
3. Start a notebook and ask the agent to write a first query.
4. Add charts and inputs, then publish the notebook as an app.
5. Invite teammates and try Threads for plain-language questions.

Tips to get better results from Hex

• Define key metrics in the semantic layer early so AI answers stay consistent.
• Use Threads for business users and keep notebooks for deeper analysis.
• Check the version history before editing a shared notebook that others rely on.
• Test agent answers against known numbers before rolling it out widely.

Hex vs alternatives

Hex competes with classic BI tools such as Tableau and Microsoft Power BI, but it starts from code-first notebooks rather than drag-and-drop dashboards. It is closer to Databricks notebooks for analysis work, though Hex is warehouse-agnostic and puts more weight on sharing results with non-technical colleagues. ThoughtSpot is the stronger pick when search-style self-service for business users is the main goal.

For individuals who just want to chat with a spreadsheet, Julius AI is simpler and cheaper to start. Choose Hex when you have a data team working in SQL and Python and want one platform for exploration, AI help, apps and self-serve analytics. See all best AI data analytics tools.

Our verdict: is Hex worth it?

Hex FAQs

Pricing and features change often. Details on this page were last reviewed in October 2026. Always confirm current plans on the official Hex website.