GrowthBook 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.
| GrowthBook | Alteryx | |
|---|---|---|
| Starts at | $40/mo | $250/mo |
| Number of plans | 3 | 2 |
| Free plan | — | |
| Free trial | — | |
| Pricing model | per-seat | per-seat |
Starter
- Up to 3 users
- 1 project
- Unlimited feature flags
- Unlimited experiments
- Unlimited traffic
- Bring your own warehouse
- Managed warehouse option
- Default environments
- Community support
Pro
- Up to 50 users
- 3 projects
- Unlimited feature flags
- Unlimited experiments
- Unlimited traffic
- Visual editor
- Multi-arm bandits
- Safe rollouts
- Customizable dashboards
- Advanced permissioning
- Power calculator
- Premium support
Enterprise
- Custom environments
- Ramp schedules
- Approval workflows
- Advanced access control
- SSO & SCIM provisioning
- Exportable audit logs
- 99.99% uptime SLAs
- Optimizations for large datasets
- Dedicated support & training
Starter Edition
Professional Edition
GrowthBook vs Alteryx FAQ
- Which one is cheaper?
- GrowthBook starts lower at $40/mo, compared to $250/mo for Alteryx.
- Can I use either one for free?
- GrowthBook 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. GrowthBook: At $40/seat, GrowthBook sits mid-pack — pricier than bare-bones flagging tools but cheaper than the LaunchDarkly-style enterprise experimentation suites, positioning itself as the open-source-friendly option for teams that want real A/B testing without enterprise sticker shock. 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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