Hex Pricing (2026)
Pure per-seat billing scoped specifically to Editors, meaning viewers or consumers of Hex projects likely don't eat into your license count — a smart move for collaborative data teams. The value metric is authorship access, with compute tier (Medium vs. pay-as-you-go) layered on top as a usage dimension on Team and Enterprise.
- Community
- $0/mo per seat
- Professional
- $36/mo per seat
- Team
- $75/mo per seat
- Enterprise
- Contact Sales
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Community
- Notebook agent trial
- Connect any data source
- Up to 5 notebooks
- Build with all cell types
- Small compute
Professional
- Notebook agent
- Standard credits
- Unlimited notebooks
- Up to 5 published apps
- 30-day version history
- Medium compute
Team
- Threads agent
- Semantic model agent
- Extended credits
- Unlimited published apps
- Visual exploration and drill down
- Unlimited version history
- Scheduled runs and alerts
- Shared components
- Shared collections
- Advanced compute add-ons
Enterprise
- Explorer seat add-on
- Audit logs
- Premium credits
- OAuth database connections
- Observability API
- OIDC SSO
- Single tenant add-on
- HIPAA add-on
- Embedded analytics add-on
- Custom Docker image add-ons
- Dedicated support
AI Pricing Analysis
Pricing Model
Pure per-seat billing scoped specifically to Editors, meaning viewers or consumers of Hex projects likely don't eat into your license count — a smart move for collaborative data teams. The value metric is authorship access, with compute tier (Medium vs. pay-as-you-go) layered on top as a usage dimension on Team and Enterprise.
Tier Strategy
Community is a generous solo sandbox, Professional at $36 targets individual analysts who need production-grade features without a team budget, and Team at $75 is where collaborative workflows kick in with compute flexibility. The upgrade trigger from Professional to Team is almost certainly hitting collaboration or compute limits — when you're sharing projects across a data team and need more horsepower for ML/DS workloads.
Competitive Positioning
Hex sits in the mid-market of collaborative notebook and data app tools, competing with Mode, Deepnote, and Databricks Notebooks. At $75/seat for Team, they're not the cheapest option but they're undercutting the enterprise-first players — positioning themselves as the serious-but-accessible choice for modern data teams that have outgrown Jupyter but aren't ready for a six-figure platform contract.
Growth Lever
The pay-as-you-go compute option on Team and Enterprise is the sleeper expansion lever here — once data science use cases ramp up, compute costs scale independently of seats. Seat expansion is the obvious driver, but the compute upsell is what makes this model interesting for teams running heavy Python or ML workloads.
Hex Pricing FAQ
- How much does Hex cost?
- Paid plans start at $36/mo, going up to $75/mo for larger teams. There's also an Enterprise tier with custom pricing. You can get started on the free plan before committing.
- Is there a free plan?
- Yes. The "Community" plan is free forever, not just a trial. You get notebook agent trial, connect any data source, up to 5 notebooks — plus 2 more features. It's enough to evaluate the product before upgrading.
- Can I try it before paying?
- Yes — there's a free trial that lasts 14 days. You don't need a credit card to start.
- How does the pricing work?
- Pure per-seat billing scoped specifically to Editors, meaning viewers or consumers of Hex projects likely don't eat into your license count — a smart move for collaborative data teams. The value metric is authorship access, with compute tier (Medium vs. pay-as-you-go) layered on top as a usage dimension on Team and Enterprise.
- Is there a discount for annual billing?
- Students and educators at universities and bootcamps can access the Hex Professional Plan for free.
- Which plan makes sense for me?
- Community is a generous solo sandbox, Professional at $36 targets individual analysts who need production-grade features without a team budget, and Team at $75 is where collaborative workflows kick in with compute flexibility. The upgrade trigger from Professional to Team is almost certainly hitting collaboration or compute limits — when you're sharing projects across a data team and need more horsepower for ML/DS workloads.
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Comparing Hex to something specific? Try Hex vs AgencyAnalytics, Hex vs Amplitude, or Hex vs AppsFlyer.
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