Power BI 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.

Power BI Alteryx
Starts at $14/mo $250/mo
Number of plans 4 2
Free plan
Free trial
Pricing model hybrid per-seat

Free account

$0/mo
  • Included in Microsoft Fabric free account
  • No credit card required
  • Upgrade to Pro or Premium to share reports

Power BI Pro

$14/mo
  • Publish and share Power BI reports
  • Included in Microsoft 365 E5 and Office 365 E5
  • Available to buy now with a credit card

Power BI Premium Per User

$24/mo
  • Includes all the features available with Power BI Pro
  • Access larger model sizes
  • More frequent refreshes
  • Available to buy now with a credit card

Power BI Embedded

Custom
  • Brand Power BI reports as your own
  • Automate monitoring, management, and deployment
  • Reduce developer overhead

Starter Edition

$250/mo

Professional Edition

Custom

Power BI vs Alteryx FAQ

Which one is cheaper?
Power BI starts lower at $14/mo, compared to $250/mo for Alteryx.
Can I use either one for free?
Power BI has a free plan. Alteryx doesn't — though they do offer a free trial.
How do they charge?
Different approach here. Power BI uses hybrid pricing, while Alteryx goes with per-seat. That changes the math depending on your team size and usage.
Which one is a better deal?
Depends on what you need. Power BI: At $14/user, Power BI undercuts Tableau and most enterprise BI tools while still riding Microsoft's enterprise trust and Office 365 bundling — it's the value play for orgs already living in the Microsoft ecosystem. They're not chasing standalone BI buyers; they're winning the 'we already pay for Microsoft 365, why add another vendor' argument. 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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