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TextQL vs. Hex
Business-friendly analytics via Slack with unlimited scale and no seat fees.
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TextQL
Hex
[ Feature Comparison ]
Compare TextQL vs. HexCompare TextQL vs. Hex
| Feature | TextQL | Hex |
|---|---|---|
| AI-powered analytics | ||
| SQL and Python support | ||
| Native Slack & email deployment Zero setup required | ||
| Business users can self-serve No notebook required | ||
| Unlimited dataset scale Any size, any warehouse | ||
| $0 per seat, unlimited users | ||
| Usage-based pricing Not per-seat | ||
| Works with ANY BI tool Tableau, Metabase, etc. | ||
| Autonomous scheduled reports Reports & alerts | ||
| Cross-warehouse queries on-the-fly |
[ Why TextQL ]
Top 3 reasons leaders pick TextQL over HexTop 3 reasons leaders pick TextQL over Hex
Built for Business Users, Not Just Data Teams
Hex is built for technical data teams in notebooks. Your CFO, marketing manager, and operations lead can’t use it without SQL or Python knowledge. TextQL speaks natural language—ask questions in plain English via Slack, email, or the web app. Everyone gets answers, not just engineers.
Deploy analytics across your entire organization. Business users self-serve while data teams focus on strategic work.
Deployed Where Your Team Works
Hex requires users to open a notebook and write code. TextQL deploys agents directly in Slack channels and email—where your team already collaborates. No new tools to learn, no notebooks to configure.
Ask a question in #sales-ops and get an answer in 30 seconds. No Hex login, no notebook setup, no code required.
Usage-Based, Not Per-Seat
Hex charges per seat, making it expensive to scale analytics across the organization. TextQL uses usage-based pricing with unlimited users at $0 per seat. The more people who use analytics, the better—without cost scaling linearly.
Add unlimited stakeholders without budget anxiety. Analytics scales with value, not headcount.
[ The Bottom Line ]
Hex is an excellent collaborative notebook—for people who know how to use notebooks. The challenge is that most organizations have far more people who need insights than people who can write Python. TextQL bridges this gap: business users ask questions in natural language, data teams focus on complex problems, and everyone gets real-time access to analytics without learning a new tool. The difference isn’t capability—it’s accessibility.
Ready to see TextQL in action? Start with a personalized demo.