Full AI access for every user, no seat fees, no credit meters—while Hex now charges $80/seat just to unlock AI.
Hex recently changed their pricing model: $40/seat/month to exist in Hex with no AI access, and $80/seat/month to unlock AI—which is then metered at $0.50/credit after a small free allotment. For any team where most users need AI-powered analytics, the math breaks down fast. TextQL gives every user full AI access with no per-seat fees and no credit meters.
A 50-person team paying for Hex AI access spends $4,000/month before a single credit is consumed. With TextQL, that same team pays based on usage—not headcount.
Healthcare organizations need analytics that meet HIPAA requirements out of the box. Hex requires extensive configuration and security reviews to handle PHI safely. TextQL is SOC 2 Type II certified with HIPAA-ready infrastructure, role-based access controls, and audit logging built-in.
Healthcare teams at Headway, Lumeris, and other providers use TextQL to analyze patient data, provider networks, and claims processing—all while maintaining HIPAA compliance.
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.
Deploy analytics across your entire organization. Business users self-serve while data teams focus on strategic work.
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.
Hex recently restructured their pricing to charge $80/seat just to access AI features—then meter additional usage at $0.50/credit. For organizations where most users need AI-powered analytics, this fundamentally changes the cost calculus. TextQL offers full AI access to every user with no per-seat fees and no credit limits. The more people who use analytics, the better—without cost scaling linearly with headcount. Beyond pricing, 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.