Skip to content
Operating Intelligence 12 min

PostHog vs Amplitude (2026): Open-Source vs Enterprise

An in-depth comparison of posthog vs amplitude — features, pricing, and which tool fits your use case.

Siddharth Gangal Siddharth Gangal · Founder, Fairview Updated May 31, 2026 Reviewed by Jordan Cole Editorial standards

Key takeaways

An in-depth comparison of posthog vs amplitude — features, pricing, and which tool fits your use case.

Part of the Operating Intelligence topic hub.

BUSINESS INTELLIGENCE

Quick Answer

PostHog is the right choice for engineering-led product teams that want a single platform combining product analytics, session replay, feature flags, and A/B testing — with the option to self-host for complete data ownership at near-zero cost. Amplitude is the right choice for mid-market and enterprise data teams that need advanced behavioral cohorts, data governance, predictive analytics, and a mature experimentation platform. PostHog wins on price and breadth for developer teams. Amplitude wins on analytical depth and governance for organizations where data quality is a strategic priority.

Key Takeaways

PostHog Wins

Open-source, self-hostable, free to 1M events/mo, session replay + feature flags + analytics in one tool.

Amplitude Wins

Behavioral cohort depth, data governance, predictive features, mature enterprise experimentation.

Neither Covers

Revenue impact, margin analysis, and operating decisions — that is the Fairview layer.

What Is PostHog?

PostHog is an open-source product analytics platform founded in 2020, built with an explicit philosophy: give developers the full product analytics stack in a single platform that they can run themselves. Rather than forcing teams to stitch together Mixpanel for analytics, FullStory for session replay, LaunchDarkly for feature flags, and Optimizely for A/B tests, PostHog bundles all of these capabilities into one open-source codebase.

PostHog is available as a fully managed cloud product (PostHog Cloud) with a generous free tier or as a self-hosted deployment on your own infrastructure. The self-hosted path gives engineering teams complete data ownership — no data leaving their cloud environment, no third-party data processing agreements to manage.

Key capabilities include: product analytics (funnels, retention, user paths, session recordings), feature flags, A/B testing, error tracking, surveys, and a data warehouse connector. The platform is widely used by engineering-led SaaS companies, developer-tool businesses, and any organization where data privacy and control are non-negotiable.

What Is Amplitude?

Amplitude is a commercial digital analytics platform founded in 2012, positioning itself as the system of record for behavioral data at enterprise scale. It provides event-based analytics, behavioral cohort analysis, user journey mapping, retention analysis, and — through Amplitude Experiment — native A/B testing and feature rollout management.

Amplitude's data governance layer (Amplitude Data, formerly Iteratively) allows data teams to define tracking plans, validate event schemas, and block bad data before it pollutes the analytics database. This governance infrastructure is a key differentiator for larger organizations managing analytics across multiple product surfaces and dozens of engineers who all touch instrumentation code.

Amplitude also offers Amplitude CDP for real-time event routing and Predictive Cohorts powered by machine learning. The platform is primarily used by product managers, data analysts, and growth engineers at B2B SaaS, fintech, and consumer technology companies ranging from Series A to public enterprise.

Side-by-Side Comparison

CategoryPostHogAmplitude
Source modelOpen-source (MIT) + cloudProprietary SaaS
Self-hostingYes, fully supportedNo
Free tier1M events/mo (all products)10K MTUs / 2M events/mo
Pricing above free$0.00005/event (1–2M), declining tiersPlus $49/mo; Growth/Enterprise custom
Session replayIncluded (5K/mo free)Add-on
Feature flagsIncluded (1M requests/mo free)Not native
A/B testingIncluded (PostHog Experiments)Amplitude Experiment (add-on)
Behavioral cohortsGoodBest-in-class
Data governanceBasicAdvanced (Amplitude Data)
Predictive AIEarly stageMature (Predictive Cohorts)

Pricing Comparison

PostHog Pricing (2026)

PostHog uses transparent usage-based pricing with no seat fees. The first 1 million events per month are always free — this resets every month regardless of whether you are on a paid plan. More than 90% of PostHog users operate entirely within the free tier.

Above 1 million events, pricing starts at $0.00005 per event (1–2 million events), declining to $0.0000343 for 2–15 million, $0.0000295 for 15–50 million, and as low as $0.000009 per event above 250 million. Session replays are billed per recording above 5,000 per month free. Feature flag requests above 1 million per month cost extra. You can set billing limits per product to prevent surprise costs.

Self-hosted PostHog (running on your own Kubernetes cluster) is free for the open-source version, though PostHog Enterprise adds support SLAs and advanced features on top of the self-hosted base.

Amplitude Pricing (2026)

Amplitude's Starter plan is free for up to 10,000 monthly tracked users and 2 million events. The Plus tier is $49 per month (annual billing) and covers up to 300,000 MTUs and 25 million events — a strong entry point for growing startups. Growth and Enterprise are fully custom-priced, with the median Amplitude customer paying approximately $63,720 per year. Large enterprise deployments with 1 million or more MTUs can exceed $150,000 per year.

Amplitude Experiment (A/B testing) and Amplitude CDP are priced separately. Group Analytics for account-level analysis is an additional cost. For teams comparing total cost of ownership, PostHog's all-in-one bundling often results in meaningful savings at equivalent event volumes.

PostHog

Free first 1M events/mo
  • $0.00005/event above 1M (declining)
  • 5K session replays/mo free
  • 1M feature flag requests/mo free
  • Self-hosted open-source: $0
  • 90%+ of users pay nothing

Amplitude

Free up to 10K MTUs
  • Plus: $49/mo (300K MTUs)
  • Growth: custom pricing
  • Enterprise: custom pricing
  • Median: ~$63,720/yr
  • Experiment + CDP: add-on

Data Collection Method Compared

Both PostHog and Amplitude rely on intentional event tracking rather than autocapture — your team defines a tracking plan, instruments events in code, and sends those events to the platform. However, PostHog does offer a basic autocapture feature that automatically captures clicks, form submissions, and page views without custom instrumentation. This can reduce the initial engineering investment for teams without a mature tracking plan.

Amplitude's tracking is purely intentional and benefits from Amplitude Data's schema validation layer. Events that do not match the defined schema can be blocked, flagged, or warned on — giving data teams a governance mechanism that PostHog does not match in maturity.

PostHog's self-hosted deployment means all event data stays within your infrastructure from the moment of capture — a significant advantage for fintech, healthtech, and European companies subject to GDPR or financial data regulations. With Amplitude, all data is processed on Amplitude's cloud, which introduces data residency and DPA considerations.

Analytics Capabilities

Funnels and Retention

PostHog's funnel analysis covers the core needs of most product teams — multi-step funnels, conversion windows, cohort comparisons, and drop-off visualization. It is not as polished as Mixpanel's funnel builder, but it handles the fundamentals well. Retention analysis includes N-day retention and unbounded retention views.

Amplitude's funnel and retention analytics are more mature and configurable, with options to hold properties constant across funnel steps, compare cohort conversion rates over time, and combine funnel analysis with predictive scoring. For data-led organizations running rigorous retention experiments, Amplitude offers more analytical horsepower.

Behavioral Cohorts

Amplitude's behavioral cohorts are a signature capability — you can define cohorts based on any sequence of events and properties, compute them on demand or on a schedule, and sync them to ad platforms, CRMs, and email tools. Predictive Cohorts use machine learning to predict conversion or churn likelihood without manual model building.

PostHog's cohort capabilities are more basic. You can filter user lists by event history and properties, but the depth of cohort definition and the breadth of downstream syncing destinations is narrower than Amplitude's.

Session Replay

PostHog includes session replay natively — 5,000 recordings per month free, then usage-based pricing above. This means product and engineering teams can correlate quantitative analytics with qualitative session data in the same platform. Amplitude offers session replay as a paid add-on without the same native integration into the analytics workflow.

Ease of Use and Implementation

PostHog is built by engineers for engineers. The documentation is developer-first, the SDK design is clean, and the platform makes reasonable defaults for teams starting from scratch. Non-technical stakeholders (product managers, marketers) can use the PostHog UI for basic analysis, but the depth of self-serve insight generation is lower than Amplitude for non-technical users.

Amplitude has invested heavily in its UI for non-technical product managers. Chart builders, saved dashboards, and the automated Amplitude Compass discovery feature reduce the need for deep technical knowledge to generate insights. For organizations where PMs and growth leads need to be self-sufficient in analytics, Amplitude's UI accessibility is an advantage.

Self-hosting PostHog adds operational overhead — deploying on Kubernetes, managing upgrades, provisioning storage for large event volumes. Teams without DevOps capacity should use PostHog Cloud rather than self-hosted. PostHog Cloud removes the operational burden while preserving the generous free tier.

Integrations

PostHog integrates with Segment, RudderStack, Sentry, Zapier, Slack, GitHub, and a growing list of data warehouses including BigQuery, Snowflake, and Redshift via its data warehouse connector. The integration ecosystem is narrower than Amplitude's but covers the most common needs for product and engineering teams.

Amplitude's integration catalog is significantly broader — particularly for outbound cohort syncing (Braze, Iterable, Facebook Ads, Google Ads, Salesforce). For organizations that need to push behavioral segments into multiple downstream tools, Amplitude's integration depth is a real advantage. Amplitude CDP adds real-time event routing without requiring a separate CDP solution.

AI and Predictive Features

Amplitude's AI investments are more mature. Predictive Cohorts score users by conversion and churn likelihood. Amplitude Forecast projects future metric trajectories. An AI-assisted query builder lets analysts ask natural-language questions and receive chart responses. These features are production-grade and used by large enterprise data teams.

PostHog's AI features are earlier in development. The platform has introduced AI-powered session replay summaries and basic trend analysis, but it does not yet match Amplitude's predictive analytics depth. For teams that need machine learning baked into their cohort and retention workflows today, Amplitude is the stronger platform.

Best Use Cases

Choose PostHog When...

Your team is engineering-led, values open-source and data ownership, needs session replay and feature flags alongside analytics, and wants a single platform without paying for multiple tools.

Choose Amplitude When...

Your organization has a dedicated data team, needs enterprise data governance, runs active A/B testing programs, and requires behavioral cohorts that sync to downstream ad and CRM tools.

Seed to Series A

PostHog's free tier (1M events/mo) and all-in-one toolset make it the cost-optimal choice for early-stage teams that cannot afford multiple best-of-breed tools.

Series B to Enterprise

Amplitude's governance, predictive cohorts, and experimentation platform justify the higher spend for organizations with dedicated product analytics infrastructure.

Alternatives to Consider

  • Mixpanel — Strong funnel analytics with simpler UX than Amplitude. Event-based pricing from 1M events free.
  • Heap — Autocapture model eliminates tracking plan work. Retroactive analysis from day one without engineering instrumentation.
  • FullStory — Deep session intelligence and DX analytics. Better qualitative tooling than PostHog's session replay for enterprise teams.
  • Pendo — Product analytics plus in-app guidance, NPS, and roadmapping. Strong for customer-success-led SaaS orgs.
  • June — Lightweight B2B product analytics built on top of Segment. Much simpler than Amplitude for small B2B SaaS teams.

Final Verdict

Choose PostHog if you are an engineering-led team that wants open-source analytics with session replay, feature flags, and A/B tests in one platform — especially if data ownership or self-hosting matters to your organization. The free tier is genuinely generous and the all-in-one value proposition is hard to beat for early-stage companies.

Choose Amplitude if you are a mid-market or enterprise product organization with a data team, an active experimentation program, and a need for behavioral cohorts at scale with robust data governance. Amplitude's depth rewards investment but requires the organizational maturity to use it well.

Frequently asked

Questions about operating intelligence

Is PostHog better than Amplitude? +
PostHog is better for engineering-led teams that want open-source, self-hosted analytics with session replay and feature flags included. Amplitude is better for data teams at larger organizations that need advanced behavioral cohorts, data governance, and predictive analytics at enterprise scale.
Can PostHog replace Amplitude? +
For many product teams, yes — PostHog covers funnels, retention, user paths, session replay, feature flags, and A/B tests. For enterprise organizations needing deep behavioral cohort syncing, predictive analytics, and Amplitude's mature CDP capabilities, PostHog may fall short in analytical depth.
How much does PostHog cost in 2026? +
PostHog's first 1 million events per month are free every month. Above that, pricing starts at $0.00005 per event for 1–2 million events and declines at higher volumes. Session replays above 5,000 per month and feature flag requests above 1 million per month are billed separately.
Is PostHog open source? +
Yes. PostHog is open-source under the MIT license and can be fully self-hosted on your own infrastructure. PostHog Cloud (managed version) uses the same codebase with the same free tier, removing the operational overhead of self-hosting.
What does Amplitude offer that PostHog does not? +
Amplitude offers deeper behavioral cohorts with machine learning scoring, more mature data governance through Amplitude Data, a broader integration ecosystem for outbound cohort syncing, and a more developed enterprise experimentation platform (Amplitude Experiment). For organizations where data quality and predictive analytics are priorities, Amplitude's depth exceeds PostHog's current capabilities.
What does PostHog offer that Amplitude does not? +
PostHog offers open-source code, self-hosting for complete data ownership, native session replay included in the free tier, and feature flags and A/B testing bundled without additional cost. Amplitude requires paid add-ons or separate tools for session replay, feature flags, and experimentation.
Which is better for GDPR compliance? +
PostHog's self-hosted deployment keeps all data within your own infrastructure, eliminating third-party data transfer considerations entirely. For GDPR-sensitive applications, self-hosted PostHog offers the cleanest compliance posture. Amplitude is GDPR-compliant as a processor but requires DPA agreements and data transfer mechanisms for EU data.
How is Fairview different from PostHog and Amplitude? +
PostHog and Amplitude track user behavior inside your product. Fairview is an operating intelligence platform that connects behavioral data to revenue outcomes — NRR, margin, pipeline health, and unit economics. Fairview is built for COOs and operators who need to understand what drives business performance, not just product engagement.
Siddharth Gangal

Author

Siddharth Gangal

Founder, Fairview

Siddharth writes on operating intelligence, revenue operations, and the unbundling of business intelligence. Before Fairview, built revenue ops infrastructure across B2B SaaS and DTC.

Continue reading

More from this cluster

See operating intelligence in your data — book a 20-min demo

Editorial standards

Sources & further reading

Fairview cites primary sources only. The references below underpin the benchmarks and frameworks discussed in our Operating Intelligence coverage. See our editorial standards.

  1. 1 State of the Cloud 2025 — Bessemer Venture Partners, 2025. View source .
  2. 2 KeyBanc SaaS Survey 2025 — KeyBanc Capital Markets, 2025. View source .
  3. 3 OpenView 2025 SaaS Benchmarks — OpenView Partners, 2025. View source .

Fairview cites primary sources only — government data, academic research, industry benchmarks from named publishers, and official vendor documentation. See our editorial standards.