Amplitude Analytics vs Google Analytics 4
Which analytics & bi tool is right for you? Compare features, pricing, and user reviews to make the best choice.
Amplitude Analytics
From FreeFree plan
G2 4.5 · 2,992 reviewsProduct-led companies and digital teams (Product, Growth, Analytics) that need self-serve product analytics to understand user behavior, improve activation/retention, and measure feature and experiment impact across web and mobile apps.
vs
Google Analytics 4
From FreeFree plan
G2 4.5 · 6,867 reviewsTeams that need free, scalable web/app analytics with strong Google Ads integration, event-based tracking, and flexible exploratory analysis—especially SMBs, product teams, and marketers operating in the Google ecosystem.
Side by side
 Amplitude Analytics |  Google Analytics 4 | |
|---|---|---|
| Pricing | Free; Plus from $0 (usage-based) | Free |
| G2 Rating | 4.5 (2,992 reviews) | 4.5 (6,867 reviews) |
| Best For | Product-led companies and digital teams (Product, Growth, Analytics) that need self-serve product analytics to understand user behavior, improve activation/retention, and measure feature and experiment impact across web and mobile apps. | Teams that need free, scalable web/app analytics with strong Google Ads integration, event-based tracking, and flexible exploratory analysis—especially SMBs, product teams, and marketers operating in the Google ecosystem. |
Pros and cons
Amplitude Analytics
Pros
- Strong event-based product analytics for funnels, retention, and cohorts
- Good self-serve exploration for non-technical stakeholders
- Scales from startup to enterprise with governance and permissions
- Broad ecosystem/integrations for data pipelines and warehouses
Cons
- Costs can rise quickly as MTUs, events, or add-ons increase
- Requires upfront instrumentation and event taxonomy discipline to get reliable insights
- Advanced analysis and governance features may be gated behind higher tiers
Google Analytics 4
Pros
- Free tier is powerful and widely supported across the Google ecosystem
- Strong cross-device and cross-platform measurement approach (web + app)
- Flexible analysis via Explorations (funnels, paths, cohorts) without exporting data
- Native BigQuery export available for GA4 properties (useful for BI/warehouse workflows)
Cons
- Steeper learning curve vs Universal Analytics; reporting/navigation can feel less intuitive
- Sampling/thresholding and privacy modeling can limit granular reporting in some scenarios
- Advanced governance, SLAs, and enterprise features generally require GA360 (quote-based)
Emily Rodriguez