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[ versus ]

TextQL vs. Hex

Full AI access for every user, no seat fees, no credit meters—while Hex now charges $80/seat just to unlock AI.

TextQL TextQL
vs
Hex Hex
[ feature comparison ]

Compare TextQL vs. Hex

Feature TextQL Hex
AI-powered analytics
Hex now requires $80/seat/month to access AI features
TextQL
Hex Paid add-on
AI access pricing
Hex charges $40/seat base + $80/seat for AI access
TextQL Included
Hex $80/seat/month
Usage metering on AI
Hex meters AI usage with credits at $0.50 each after a small free allotment
TextQL Unlimited
Hex $0.50/credit after allotment
SQL and Python support
TextQL
Hex
Healthcare compliance (HIPAA, SOC 2)
TextQL SOC 2 Type II certified with HIPAA-ready infrastructure
TextQL Built-in, certified
Hex Requires configuration
Role-based access control (RBAC)
Granular permissions for data, dashboards, and agents
TextQL
Hex
Native Slack & email deployment
Zero setup required
TextQL
Hex
Business users can self-serve
No notebook required
TextQL
Hex
Unlimited dataset scale
Any size, any warehouse
TextQL
Hex
$0 per seat, unlimited users
TextQL
Hex
Usage-based pricing
Not per-seat, not per-credit
TextQL
Hex
Works with ANY BI tool
Tableau, Metabase, etc.
TextQL
Hex
Autonomous scheduled reports
Reports & alerts
TextQL
Hex
Cross-warehouse queries on-the-fly
TextQL
Hex
[ why textql ]

Top 4 reasons leaders pick TextQL over Hex

Hex Just Made AI a $80/Seat Luxury

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.

Key benefit

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-Ready Security & Compliance

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.

Key benefit

Healthcare teams at Headway, Lumeris, and other providers use TextQL to analyze patient data, provider networks, and claims processing—all while maintaining HIPAA compliance.

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.

Key benefit

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.

Key benefit

Ask a question in #sales-ops and get an answer in 30 seconds. No Hex login, no notebook setup, no code required.

[ the bottom line ]

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.

[ try textql ]

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