Hex at a glance

Starting price: $36+/user/mo (Team)
Free plan: Yes
Platforms: Web, API

What is Hex?

Hex unifies data exploration and sharing in one workspace: analysts write SQL and Python in a notebook, a Notebook Agent writes, edits and debugs code alongside them, and the result publishes as a polished interactive app that business users can filter and explore without touching the underlying code. That last step is the differentiator, since it removes the usual gap between an analyst's notebook and a stakeholder-ready deliverable.

Two considerations. Hex has moved most pricing behind a sales conversation, with a free Community tier for individuals and paid tiers reported in the mid-thirties to seventy-plus per editor monthly, and SSO gated to Enterprise, which is a real cost for small teams with IT policies requiring it. Compute beyond the included medium tier and AI features bill as usage, so spend grows past seat count. Notebooks also use a proprietary format rather than standard .ipynb.

Key Features

Notebook Agent AISQL and Python in One WorkspaceConversational Self-Serve ThreadsContext Studio Semantic LayerCollaborative Real-Time EditingData App BuilderEmbedded Analyticsdbt IntegrationSnowflake ConnectorVersion Control and Git SyncAirflow and Dagster SchedulingHIPAA Compliant OptionHex CLIAgentic AnalysisDrag-and-Drop Layout Builder

How to Use Hex

1Connect Hex to your data warehouse (Snowflake, BigQuery, Databricks, and more)

2Write SQL or Python in notebook cells, or let the Notebook Agent write it for you

3Add visualizations, filters, and text blocks to build a readable analysis

4Publish as a shareable data app or enable Threads for team self-serve questions

5Schedule notebooks to run automatically and keep insights fresh

Who is Hex for?

✅ Best For

Data engineers and analysts who want to write SQL and Python in one environment and share polished, interactive reports with stakeholders without switching to a separate BI tool.
Data teams at companies like Notion or Ramp that need a governed self-serve analytics layer so business users can ask their own questions against live warehouse data.

❌ Not For

Non-technical business users who have no data warehouse and need a simple drag-and-drop dashboard tool without any SQL or Python involvement.
Solo analysts or freelancers looking for a low-cost, lightweight option, as Hex's collaborative features and pricing are optimized for teams.

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Pricing

Is Hex free? Yes, there is a free plan. Paid plans start at $36+/user/mo (Team).

Free$0

✓Personal projects
✓limited projects and compute

StarterCustom

✓Solo workflows
✓AI features
✓more projects

Team$36+/user/mo

✓Full collaboration
✓Threads
✓scheduling
✓dbt integration

EnterpriseCustom

✓HIPAA
✓single-tenant
✓SSO
✓dedicated support

Prompts to Try

Analyze my Snowflake sales table and identify top 10 customers by lifetime value

Write a Python script to clean this dataset and remove outliers

Build a weekly active users trend chart from our event logs

Create a cohort retention analysis for Q1 signups

Summarize this month's revenue metrics for a non-technical stakeholder

Use Cases

A data analyst at a fintech company uses Hex's Notebook Agent to write a cohort retention analysis in Python, cutting the build time from half a day to 45 minutes while the AI handles the boilerplate code.

A product analytics team publishes a Hex data app showing daily active users, feature adoption, and churn risk scores, replacing a weekly emailed PowerPoint deck.

A data team at a biotech firm schedules a Hex notebook to run every morning, automatically flagging clinical trial data anomalies and alerting the research team via Slack.

A business analyst without SQL experience uses Threads to ask the company's Snowflake data warehouse how many enterprise deals closed last month and gets a trusted, logic-checked answer in seconds.

A head of data uses the dbt integration in Hex to pull documented metric definitions directly into notebooks, ensuring every analyst works from the same agreed revenue formula.