Hex vs Alteryx Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Hex Alteryx
Starts at $36/mo $250/mo
Number of plans 4 2
Free plan
Free trial
Pricing model per-seat per-seat

Community

$0/mo
  • Notebook agent trial
  • Connect any data source
  • Build with all cell types
  • Small compute

Professional

$36/mo
  • Notebook agent
  • Standard credits
  • Up to 5 published apps
  • 30-day version history
  • Medium compute

Team

Popular
$75/mo
  • 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

Custom
  • Explorer seat add-on
  • Audit logs
  • Premium credits
  • OAuth database connections
  • Observability API
  • OIDC SSO
  • Bring Your Own Key (BYOK)
  • Single tenant add-on
  • HIPAA add-on
  • Embedded analytics add-on
  • Custom Docker image add-ons
  • Dedicated support

Starter Edition

$250/mo

Professional Edition

Custom

Hex vs Alteryx FAQ

Which one is cheaper?
Hex starts lower at $36/mo, compared to $250/mo for Alteryx.
Can I use either one for free?
Hex has a free plan. Alteryx doesn't — though they do offer a free trial.
How do they charge?
Both use a per-seat model, so the comparison is straightforward — it comes down to features and limits at each price point.
Which one is a better deal?
Depends on what you need. Hex: At $36-75/seat, Hex sits mid-pack against tools like Deepnote or Observable — not trying to win on price, but not premium-only like some BI-adjacent platforms either. They're clearly chasing teams who've outgrown Jupyter notebooks and need collaboration without jumping straight to a heavyweight BI enterprise contract. Alteryx: At $250/seat/month with no free plan, Alteryx sits firmly in premium territory compared to lighter-weight tools like Power Query or even Tableau Prep — this is priced for enterprises already committed to a serious analytics stack, not casual users comparing options. They're not fighting on price; they're betting that data-heavy enterprise teams will pay up for a mature, all-in-one platform.

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