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Amplitude vs PostHog

In-depth comparison of Amplitude and PostHog for B2B SaaS companies. We analyze analytics depth, experimentation, feature flags, pricing, and real-world use cases.

Last updated: 2026-03-15. Verify current features, pricing, limits, and integrations on official vendor pages.

Short answer

Amplitude wins for enterprise-grade behavioral analytics, collaboration (Notebooks), and predictive cohorts. PostHog wins for developer teams wanting an all-in-one open-source suite with feature flags, session replay, and analytics at lower cost. Sequenzy integrates with both and adds SaaS-specific lifecycle email automation on top of your analytics data.

Amplitude

Enterprise behavioral analytics with collaboration and experimentation

PostHog

Open-source all-in-one product suite for developer-led teams

Quick comparison

Decision areaAmplitudePostHogWhat to verify
Primary StrengthEnterprise behavioral analytics and predictionsAll-in-one open-source product suiteTest this with representative data and the next realistic usage tier.
Open SourceNoYes (MIT license)Test this with representative data and the next realistic usage tier.
Feature FlagsAmplitude Experiment (separate product)Built-in, tightly integratedTest this with representative data and the next realistic usage tier.
Session ReplayAmplitude Session Replay (newer feature)Mature session recording with event timelineTest this with representative data and the next realistic usage tier.
CollaborationNotebooks, team spaces, governanceDashboards and sharing, less enterprise collaborationTest this with representative data and the next realistic usage tier.
Predictive AnalyticsPredictive cohorts with MLNot availableTest this with representative data and the next realistic usage tier.
Starting Price$49/mo (Plus plan)Free, pay-as-you-goTest this with representative data and the next realistic usage tier.
Billing IntegrationNot nativeNot nativeTest this with representative data and the next realistic usage tier.

Feature comparison

FeatureAmplitudePostHog
Behavioral cohorting9/10

Advanced cohorts with predictive capabilities and ML

7/10

Cohort analysis with behavioral filters

Retention analysis9/10

Lifecycle retention with new/current/resurrected/dormant segmentation

7/10

Retention tables with basic cohort analysis

Pathfinder / Journey9/10

Pathfinder for user journey discovery and visualization

7/10

User paths and journey visualization

Custom queries8/10

Structured query builder with good flexibility

8/10

HogQL (SQL-like) for custom analysis

Feature flags5/10

Amplitude Experiment includes feature flags, separate product

9/10

Built-in feature flags with targeting, rollouts, and multivariate flags

Session replay5/10

Amplitude Session Replay available, newer capability

9/10

Mature session recording with network tab, console, and event timeline

In-app surveys3/10

Not a core feature

8/10

Built-in surveys with targeting and analytics

Self-hosting1/10

Not available

10/10

Full self-hosting with Docker, Kubernetes

Email automation2/10

Not an email platform

2/10

Not an email platform

Billing integration3/10

Track billing as events

3/10

Track billing as events

Dunning1/10

Not available

1/10

Not available

Pricing and operating cost

Amplitude

Free plan: 50K MTUs/month

MTU pricing can be expensive at scale Experiment product priced separately CDP features separately priced

PostHog

Free plan: generous allocations per product

Self-hosting requires infrastructure and DevOps Multiple products can add up Enterprise features require paid plans

Tier or usage caseAmplitudePostHog
Free$0/mo (50K MTUs)

Core analytics, limited features

$0/mo (1M events, 5K sessions, etc.)

All products available with free allocations

GrowthFrom $49/mo

Advanced analytics, cohort comparison

Pay-as-you-go per product

Volume discounts, all features

EnterpriseCustom pricing

SSO, governance, dedicated support

Custom pricing

SSO, advanced permissions, support

Pros and cons

Amplitude

Pros

  • Best-in-class behavioral cohorting with predictions
  • Notebooks for team collaboration
  • Enterprise governance and data quality
  • Publicly traded stability
  • Pathfinder for journey discovery
  • Lifecycle retention analysis

Cons

  • Higher starting price ($49/mo)
  • MTU pricing expensive at scale
  • Experiment is a separate product
  • Not open source
  • No self-hosting
  • Not an email platform

PostHog

Pros

  • All-in-one: analytics + flags + replay + testing + surveys
  • Open source (MIT)
  • Self-hosting option
  • Developer-friendly HogQL
  • Generous free tier across products
  • Rapid feature development

Cons

  • Analytics less deep than Amplitude
  • No predictive cohorts
  • Less enterprise collaboration
  • Younger platform
  • Smaller company
  • Not an email platform

Who should choose what?

Large team needing collaborative analytics with governance.

Recommendation: Amplitude

Small team wanting one tool for analytics, flags, and replay.

Recommendation: PostHog

Need automated email from product behavior and billing events.

Recommendation: PostHog

Need to keep analytics data on your own infrastructure.

Recommendation: PostHog

Final verdict

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FAQ

Is PostHog a real alternative to Amplitude?

For core analytics, PostHog is solid but less mature for complex behavioral analysis and predictions. PostHog value proposition is the all-in-one suite that replaces Amplitude PLUS separate feature flag and session replay tools. For enterprise teams needing deep analytics, Amplitude remains stronger.

Can either handle SaaS lifecycle email?

No. Both are analytics platforms. Use Sequenzy for lifecycle email with native billing integration, connecting to either analytics platform via Segment.

Which has better experimentation?

Both offer experimentation. PostHog integrates A/B testing tightly with feature flags in one platform. Amplitude Experiment is a separate product that is more enterprise-oriented. For most teams, PostHog integrated approach is more convenient.

Related reading: B2B email marketing guide, alternatives hub, and B2B SaaS tool stack.