
Hex
FreemiumAI analytics platform combining SQL, Python, and no-code tools in collaborative notebooks and shareable data apps for entire teams.
What is Hex?
Hex is an AI-powered analytics platform that unifies data exploration, analysis, and sharing in a single collaborative workspace. Data teams write SQL and Python in the same notebook environment, while the Notebook Agent AI writes, edits, and debugs code on their behalf. Business users interact with self-serve Threads, asking questions in natural language and getting trusted, warehouse-backed answers. The Context Studio stores company-specific business logic, metric definitions, and semantic models so the AI always operates on accurate business context. Hex also lets teams publish interactive data apps and embedded dashboards without separate BI tooling, making it a single platform for the entire analytics lifecycle.
Key Features
How to Use Hex
✅ 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
- ✓Personal projects
- ✓limited projects and compute
- ✓Solo workflows
- ✓AI features
- ✓more projects
- ✓Full collaboration
- ✓Threads
- ✓scheduling
- ✓dbt integration
- ✓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