Mixpanel vs Amplitude Analytics
Which analytics & bi tool is right for you? Compare features, pricing, and user reviews to make the best choice.

Mixpanel
From FreeFree plan
G2 4.5 · 1,374 reviewsProduct-led teams (product, growth, analytics) at SaaS, mobile, and consumer apps that need self-serve event analytics for funnels, retention, cohorts, and user behavior without heavy BI overhead.
vs

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.
Side by side
| Pricing | Free; Growth from $0 (usage-based) | Free; Plus from $0 (usage-based) |
| G2 Rating | 4.5 (1,374 reviews) | 4.5 (2,992 reviews) |
| Best For | Product-led teams (product, growth, analytics) at SaaS, mobile, and consumer apps that need self-serve event analytics for funnels, retention, cohorts, and user behavior without heavy BI overhead. | 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. |
Pros and cons
Mixpanel
Pros
- Strong self-serve product analytics for funnels/retention/cohorts
- Fast exploration and segmentation with flexible event properties
- Good collaboration via dashboards, sharing, and saved reports
- Broad ecosystem of SDKs and integrations
Cons
- Costs can scale quickly with high event volume or many tracked users
- Requires disciplined event taxonomy/instrumentation to be reliable
- Advanced governance/warehouse-centric workflows may require Enterprise or additional tooling
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
