HockeyStack vs Ray
Updated June 2026 · A structured head-to-head comparison.
AI revenue analytics and attribution.
The verdict
Both HockeyStack and Ray are credible ai machine learning tools, and the right pick comes down to your priorities.
Choose HockeyStack if you want a higher overall rating (4.7/5). AI revenue analytics and attribution.
Choose Ray if you'd rather have a lower starting price (free) and a free plan to start on. Distributed compute for AI and Python.
HockeyStack vs Ray: side by side
| Dimension | HockeyStack | Ray |
|---|---|---|
| Starting price | Custom | FreeWinner |
| Free plan | No | YesWinner |
| Pricing model | Subscription | Open source |
| Best for | Marketing Teams, Enterprise | Ml Teams, Developers |
| Platforms | Web | Self Hosted, Api |
| Rating | 4.7/5Winner | 4.5/5 |
HockeyStack key facts
- Vendor
- HockeyStack
- Pricing
- Subscription — Custom
- Free tier
- No
- Platforms
- Web
- Best for
- Marketing Teams, Enterprise
- Editor rating
- 4.7 / 5
- Founded
- 2020
- Headquarters
- San Francisco, CA, USA
Ray key facts
- Vendor
- Anyscale
- Pricing
- Open source — Free
- Free tier
- Yes
- Platforms
- Self Hosted, Api
- Best for
- Ml Teams, Developers
- Editor rating
- 4.5 / 5
- Founded
- 2017
- Headquarters
- San Francisco, CA, USA
Frequently asked questions
Is HockeyStack better than Ray?
Neither is universally better — HockeyStack edges ahead on overall rating, but the best choice depends on price, platforms, and your use case. See the side-by-side table above.
Is HockeyStack or Ray cheaper?
Ray is the more affordable of the two to get started, at free. HockeyStack starts at custom; Ray starts at free.
Can HockeyStack replace Ray?
Yes for most teams — both are ai machine learning tools with heavily overlapping features. The main trade-offs are pricing and platform support, covered in the comparison above.