Hex

What it does

Hex takes in questions asked in plain language, along with connections to your data warehouse, dbt metadata, semantic models, and business context, and produces grounded analyses, SQL and Python work, dashboards, and shareable apps. Questions can be asked inside Hex, in Slack, or through MCP from tools like Claude or ChatGPT, and the same context is used in each place.

People use Hex to self-serve answers without writing code, to investigate questions in notebooks, and to turn results into interactive apps. The distinguishing piece is the context engine: teams sync or build definitions, observe what is being asked, run evals to measure answer quality, and use Context Studio to trace the queries and steps behind each answer.

Hex suits data teams and business users who need governed, self-serve analysis across an organization. A free Community plan with a Professional tier is listed on pricing, and a 14-day free trial is offered on Team; Enterprise is by custom quote. Limitations include credit-based AI usage with monthly grants that do not roll over, and compute tiers beyond the included medium size billed per minute.

What it can do

• Ask data questions in plain language and get AI-generated analysis grounded in your warehouse and business definitions
• Generate SQL and Python analysis in notebooks and iterate on follow-up questions
• Turn analysis into interactive dashboards and published data apps
• Maintain shared context from semantic models, dbt, and warehouse metadata, with gap detection
• Run evals to measure answer quality and track regressions over time
• Inspect queries and steps behind each answer in Context Studio and agent observability

Works with

• Snowflake
• BigQuery
• Databricks
• Postgres
• dbt
• Slack
• Airflow
• Dagster
• REST API and MCP; configuration and plan limits apply

Example workflows

Self-serve metric question in Slack

Illustrative example. Input: a plain-language question such as the quarter's sales by product line. Steps: ask Hex in a Slack channel, Hex runs the query against the connected warehouse using shared definitions. Output: a grounded answer posted in the thread with a link to the underlying Hex project.

Notebook investigation to published app

Illustrative example. Input: a data team member's exploratory question. Steps: analyze in a Hex notebook with SQL and Python, then publish the result as a data app with interactive filters. Output: a shareable app for business users to explore without editing the notebook.

Before you choose

• The free Community workspace includes an agent trial; confirm ongoing AI access before relying on the free plan.
• Paid AI credit grants refresh monthly and do not roll over; extra credits can be purchased.
• Advanced compute and certain security or deployment capabilities are paid add-ons.

Listed under

• Data
• Analytics and BI
• Ask your data
• Analytics
• Business intelligence
• Conversational analytics
• Data apps
• Data teams
• Notebooks

Get started

Sign-up is free for the Community plan; Team offers a 14-day free trial.

1. Create a Hex account from the sign-up link and choose a plan
2. Connect a data warehouse such as Snowflake, BigQuery, or Databricks, using OAuth where available
3. Add semantic models or dbt docs to the context layer so answers use your definitions

Professional is displayed at $36 per editor/month and Team at $75 per editor/month; confirm the billing commitment at checkout. Community is free with an agent trial, and Team has a 14-day trial. Paid AI credits refresh monthly without rollover. Advanced compute on eligible plans is billed per minute.

14-day free trial.

Source: hex.tech/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Hex: The Analytics platform for humans and agents ↗hex.tech
• Hex Pricing: Plans for Every Data Team | Hex ↗hex.tech
• What is Hex | Learn | Hex Technologies ↗learn.hex.tech

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hex.tech: product, pricing and policy pages

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knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.