All metrics are collected on a 4-core hosting VPS environment and apply exclusively to CMS, PLP, and PDP pages.
Actual project results may be considerably lower, as real-world implementations often include various frontend performance and configuration issues that are not promptly corrected. These issues are usually easy to resolve and do not involve server-side components. For this reason, the presented scores exclude such errors, since they can be quickly fixed when necessary.
| Lightna | Hyva | Magento 2 | |
|---|---|---|---|
| Average Scoreⓘ for Vanilla Setup | 100 | 95 | 91 |
| Average Scoreⓘ for Customized Project | 100 | 87 | 79 |
| CrUX LCPⓘ for Customized Project | 99 | 90 | 75 |
| Capacityⓘ for Vanilla Setup | 3800 | 160 | 160 |
| Capacityⓘ for Customized Project | 3400 | 50 | 50 |
| Capacityⓘ for Customized Project for Uncached Pages | 3400 | 20 | 20 |
| Need for Investments into Optimizations ⓘ | Low | High | Very High |
| Data Consistency ⓘ | Good | Acceptable | Acceptable |
Average Score is calculated for all page types and weighted according to key statistics,
including device usage, cache hit rate, and the most frequently visited pages.
Mobile Score₁ * 75% + Desktop Score₁ * 25%.
Score₁ = Cache HIT Score₂ * 60% + Cache MISS Score₂ * 40%.
Score₂ = CMS Score * 6% + PLP Score * 37% + PDP Score * 57%.
CrUX LCP is derived from real user performance data collected by Google. Among Core Web Vitals, LCP is one of the most difficult metrics to optimize, and achieving a perfect score is often challenging. The value represents the percentage of users with a good LCP experience according to real-user data.
Capacity indicates the maximum number of concurrent users the website can support, excluding management accounts and background operations. The calculation assumes that each user performs around 10 interactions per minute.
Need for Investments into Optimizations indicates how often performance degradation occurs and the level of additional effort required during feature development to prevent or minimize it.
Data Consistency indicates the speed and stability with which data changes are propagated and displayed to users.