Hex
Collaborative data workspace combining SQL, Python, and interactive apps
Overview
Collaborative data workspace that combines SQL, Python, and no-code visual components in shareable notebooks. Bridges the gap between Jupyter notebooks and BI dashboards with interactive apps that non-technical stakeholders can use.
Ehsan's Growth Verdict
What Jupyter notebooks should have become — interactive, shareable, and actually usable by non-engineers
Best for: Data teams that want notebook-driven analysis that can be published as interactive apps for business stakeholders
Key Features
- ✓SQL + Python reactive notebooks
- ✓No-code visual components
- ✓Interactive app publishing
- ✓Version control and branching
- ✓Shared data connections
Pros
- + Finally makes Jupyter notebooks shareable with non-technical stakeholders
- + Reactive cells update downstream automatically
- + App publishing turns analyses into interactive tools
Cons
- − Free tier is very limited
- − Compute costs scale with heavy Python workloads
- − Still building out scheduling and automation features
Pricing
| Plan | Details |
|---|---|
| Free | 1 viewer — limited compute |
| Team | $28/user/mo |
| Enterprise | Custom pricing |
Best Use Cases
Ehsan's Growth Take
Every data team has this problem: the analyst writes a brilliant Jupyter notebook, then spends 2 days turning it into a Streamlit app so the VP can interact with it. Hex eliminates that step. The notebook IS the app. Snowflake's $27.5M investment validates the approach. For teams that live in notebooks but need to share results broadly, Hex replaces two tools (Jupyter + Streamlit/Retool) with one.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council