Hex
Hex is an AI analytics platform with collaborative notebooks combining SQL, Python, no-code charts, and AI-powered analysis. Used by Ramp, Figma, Anthropic, and thousands of data teams for ad-hoc exploration, dashboards, and self-serve apps.
Use Cases
Explore data with SQL and Python in one notebook
Publish notebooks as dashboards and interactive data apps
Run AI-powered analysis with Magic
Build no-code charts inside the same file
Connect to Snowflake, BigQuery, Databricks, and Postgres
Share self-serve reports with non-technical stakeholders
Pros
Graph-based execution makes notebooks reproducible
Magic AI turns natural language into runnable SQL or Python
App Builder publishes notebooks as interactive dashboards
Native connectors to Snowflake, BigQuery, Databricks, and Postgres
Collaborative editing across SQL, Python, and Markdown cells
Cons
Professional tier capped at 5 published apps per editor
RBAC, SAML, and audit logs gated behind higher tiers
Magic AI needs careful validation before exec-ready charts
Pricing per editor rather than per viewer hits small teams
App layout customization limited compared to a dedicated BI tool
Platforms
Web
API
Compliance & Certifications
SOC 2
AICPA
HIPAA
U.S. HHS
GDPR
European Union
Hex is what happens when a data team gets tired of Jupyter notebooks that won't share cleanly and a BI tool that won't let analysts write SQL, so the notebook and the dashboard live in the same file. The Magic AI workflow turns natural-language questions into runnable SQL and Python, but the cells still need a human to validate before the chart goes to the exec.
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