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Countly vs PostHog

An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.

Still shortlisting? Browse the best in Product Analytics & Session Replay and the best in GTM Analytics for every option we track, with award winners called out.

The short answer

Editorial assessment

Countly compared with PostHog

The closest philosophical rival, and the harder comparison for Countly. PostHog is also open source and self-hostable, with a generous free cloud tier, plus session replay, feature flags, and experiments in one product. PostHog's centre of gravity is web and product-led SaaS; Countly's is mobile and regulated deployment, with better native mobile SDKs, push notifications, and crash reporting with symbolication. If you are a web SaaS team, PostHog is usually the better and cheaper answer. If you ship native mobile apps into a regulated market, Countly fits better.

Choose Countly if

Mobile and multi-platform product teams with a data residency, regulatory, or sovereignty constraint that rules out sending raw events to a US cloud, and teams that want analytics, push, surveys, and A/B testing from one server instead of four vendors.

Choose PostHog if

Engineering-led SaaS and product teams that want web analytics, product analytics, replay, flags, and experimentation consolidated in one usage-priced platform, and that are comfortable doing their own revenue-attribution modeling if they need it.

Side by side

13 attributes
Countly compared with PostHog across 13 attributes, including pricing, setup time, platforms, and company facts.
AttributeCountlyPostHog
CategoryProduct AnalyticsAnalytics
Starting priceFree if self-hosted (Lite); managed Flex starts at $175 per month$0 (generous monthly free tiers; pay only past the allowance)
Pricing modelThree editions. Countly Lite is free and open source under AGPLv3, self-hosted, and limited to the aggregate analytics layer. Countly Flex is a managed private cloud priced by monthly active users and data points, with a base Advanced Analytics plan and two paid capability bundles (Adaptivity and Intelligence) added on top. Countly Enterprise is a self-hosted commercial license with all capabilities included, priced by quote and billed annually.Usage-based pricing per product: every product has a monthly free allowance, then per-unit billing (per event, recording, flag request, survey response, or row) with steep volume discounts; optional platform packages add support and compliance features.
Free planCountly Lite is free forever but self-hosted, and excludes drill, funnels, cohorts, and user profiles. The free tier that previously existed on the hosted Flex plan was removed in 2026.1M analytics events, 5K session recordings, 1M feature-flag requests, 100K exceptions, 1,500 survey responses, and 1M data warehouse rows per month, on 1 project with 1-year retention.
Free trial14 days on Flex (credit card required); demo environment for EnterpriseNot applicable; the free tier is permanent, not a trial
Best forMobile and multi-platform product teams with a data residency, regulatory, or sovereignty constraint that rules out sending raw events to a US cloud, and teams that want analytics, push, surveys, and A/B testing from one server instead of four vendors.Engineering-led SaaS and product teams that want web analytics, product analytics, replay, flags, and experimentation consolidated in one usage-priced platform, and that are comfortable doing their own revenue-attribution modeling if they need it.
Setup timeA Flex instance and a first SDK integration can be live in a day. Self-hosting Lite or Enterprise is a genuine infrastructure project: provisioning, MongoDB, TLS, backups, and upgrade planning, typically a few days for someone who has done it before and longer for someone who has not. The instrumentation work, deciding which events to fire and what properties to attach, is the part that takes weeks regardless of edition.Minutes to first data with the JS snippet and autocapture; days to weeks to define clean custom events, dashboards, and cohorts; warehouse sources and pipelines are a separate project.
Learning curveModerate. The aggregate dashboards are readable immediately. The harder skill is event design, because Countly rewards a small number of well-segmented events and punishes a sprawl of one-off event names; Data Manager exists precisely because most teams get this wrong first. Operators of self-hosted deployments need MongoDB familiarity as an ongoing requirement, not a one-time one.Low for the web analytics dashboard; moderate for funnels, cohorts, and replay; high for SQL insights, warehouse modeling, and experimentation statistics.
PlatformsiOS, macOS, watchOS, tvOS, Android, Web (JavaScript SDK), React Native, Flutter, Cordova, Ionic, Unity and Unreal, Desktop (Windows, macOS, Linux), Node.js, Java, .NET, Python, PHP, IoT and connected devicesWeb app, JavaScript snippet and web SDK, Server SDKs (Python, Node, Go, PHP, Ruby, and others), Mobile SDKs (iOS, Android, React Native, Flutter), Self-hosted Hobby build (Docker, open source)
ComplianceGDPR, CCPA, HIPAA-capable when self-hosted, COPPA, ISO 27001SOC 2 Type II, GDPR, HIPAA (BAA on Boost, Scale, or Enterprise package)
Founded20132020
HeadquartersLondon, United KingdomRemote-first; US-incorporated (San Francisco), team distributed globally
OwnershipIndependent, bootstrapped (Countly Ltd, registered in England and Wales)Venture-backed

Strengths and limitations

Countly

Strengths

  • Genuine self-hosting, including a free open source edition, which very few product analytics tools still offer credibly.
  • Analytics and engagement in one system: a cohort defined from behavior is immediately addressable by push, in-app message, survey, or journey.
  • Breadth across mobile, web, desktop, and IoT from one server, with mature first-party SDKs on all of them.
  • Crash reporting with symbolication built in, so app stability and product behavior share a single app version and device breakdown.

Limitations

  • The hosted free tier was removed in 2026, so the cheapest managed entry point is now $175 per month, which puts Countly out of reach for many small teams that would have trialled it.
  • Lite lacks the granular data store, so funnels, cohorts, drill, flows, and user profiles are simply absent from the free edition. This is the single most misunderstood thing about Countly.
  • On Flex, funnels and cohorts sit in the paid Intelligence bundle rather than the base plan, so the real cost of a comparable analytics setup is above the advertised entry price.
  • Self-hosting means operating MongoDB. Reviewers repeatedly report friction with the Docker image, memory pressure, and incompatibility with some managed MongoDB providers, and the minimum viable server is larger than teams expect once push notifications are enabled.

PostHog

Strengths

  • Breadth with real integration: analytics, replay, flags, experiments, surveys, error tracking, and a warehouse genuinely share one event stream and identity graph rather than being bolted-on acquisitions.
  • The most generous free tier in the category, 1M events and 5K recordings monthly, permanently, which makes evaluation and early-stage use genuinely free.
  • Open-source codebase plus a choice of US or EU (Frankfurt) cloud gives privacy and procurement teams inspectability and residency options most rivals lack.
  • Usage pricing with automatic volume discounts and per-product spending caps scales from hobby project to hundreds of millions of events without a sales call.

Limitations

  • No packaged B2B revenue attribution: connecting spend and touchpoints to CRM pipeline and closed-won revenue is a data-warehouse project in PostHog, not a built-in report as in Dreamdata or HockeyStack.
  • Depth demands technical investment; non-technical marketers can read the web dashboard but will struggle to self-serve funnels, SQL insights, or warehouse joins.
  • Usage-based billing is unpredictable without configured limits, and replay-heavy or autocapture-noisy sites can generate surprising invoices.
  • The full event platform carries more GDPR surface than minimalist tools: consent, masking, and retention need deliberate configuration, where Plausible or Fathom are compliant nearly by default.

Pricing compared

Countly

Three editions. Countly Lite is free and open source under AGPLv3, self-hosted, and limited to the aggregate analytics layer. Countly Flex is a managed private cloud priced by monthly active users and data points, with a base Advanced Analytics plan and two paid capability bundles (Adaptivity and Intelligence) added on top. Countly Enterprise is a self-hosted commercial license with all capabilities included, priced by quote and billed annually.

  • Lite$0
  • FlexFrom $175
  • EnterpriseCustom quote

Countly's value depends almost entirely on which edition you are talking about. Self-hosted Lite is one of the few genuinely capable free analytics servers, and for a team with infrastructure skills it delivers sessions, events, crashes, and push for the price of a VM. Managed Flex is not cheap at $175 per month for a base plan that excludes funnels and cohorts, and against Mixpanel's or PostHog's free and low tiers it loses on price outright. What you are actually buying at that price is isolation: your own instance, your choice of region, and no shared multi-tenant store. If data residency is a requirement rather than a preference, that premium is the whole point and it is reasonable. If it is not, the hosted incumbents give more analytics per dollar.

PostHog

Usage-based pricing per product: every product has a monthly free allowance, then per-unit billing (per event, recording, flag request, survey response, or row) with steep volume discounts; optional platform packages add support and compliance features.

  • Free (no card)$0
  • Pay-as-you-goUsage-based
  • Platform packages (Boost, Scale, Enterprise)$250 / $750 / $2,000

At small and mid scale PostHog is close to unbeatable on price: the permanent free tiers cover a real startup's entire measurement stack, and the per-unit rates undercut buying analytics, replay, flags, and experimentation separately. The honest caveat is that usage pricing shifts the budgeting burden onto you: a replay-heavy or event-noisy implementation can quietly cost more than a flat-rate point tool, and the platform packages needed for enterprise compliance add a fixed $250 to $2,000 a month. Treat it as extremely cheap by default and only as cheap as your instrumentation discipline at scale.

Editorial verdict on each

Countly

Countly is the answer to a specific question: what do you use when the behavioral data cannot leave your control? On that question it is one of a very small number of credible options, and it goes further than its self-hosted peers by putting push notifications, in-app content, surveys, A/B testing, and crash reporting on the same server as the analytics, so a cohort you define is a cohort you can message. Thirteen years of independent, bootstrapped development shows in the breadth of the SDKs and the seriousness of the governance tooling. The problem is the middle of the market. The 2026 removal of the Flex free tier and a $175 per month entry price that still excludes funnels and cohorts means a small business without a data residency requirement will get more analytics for less money from Mixpanel, PostHog, or Amplitude, and a small business with no operations capability should not casually take on self-hosted MongoDB. Buy Countly when regulation, sovereignty, or vendor consolidation on mobile is the actual constraint. If it is not, buy something cheaper.

Read the full Countly profile

PostHog

PostHog is the default recommendation in this category for any team with an engineer on it: no rival matches the combination of a free-forever tier that covers real workloads, usage pricing that scales without a sales call, and genuinely integrated replay, flags, and experimentation on top of web and product analytics. The two honest reservations are that marketing teams without technical support will use a fraction of it, and that B2B pipeline attribution, the question GTM leaders most want answered, remains a do-it-yourself exercise on PostHog's warehouse rather than a shipped feature. Buy it as the behavioral system of record; budget separately if you need turnkey revenue attribution.

Read the full PostHog profile

Countly profile last reviewed 2026-08-23; PostHog last reviewed 2026-09-27. Pricing is compiled from public sources and can change without notice. See our methodology.

The best in Product Analytics & Session Replay

15 tracked

Product analytics tools track what users do inside an application, funnels, retention, feature adoption, and session replay, so teams can see where activation breaks rather than guessing.

  • Amplitude logoAmplitudeCategory Leader

    Product analytics that kept buying the rest of the stack: experiments, session replay, and a CDP under one roof, with 2 million free events a month.

  • Mixpanel logoMixpanelBest Value

    A free plan covering one million events a month with unlimited seats means a 10,000 user product pays Mixpanel nothing for genuinely deep analytics.

  • Kissmetrics logoKissmetricsMomentum

    Relaunched in 2025 around autocapture, autoconfiguration, and Ask AI, with a 2026 LLM Acquisition report, Kissmetrics is the roster's genuine comeback story.

  • Pendo logoPendoInnovation

    Agent Analytics, generally available in December 2025, measures how AI agents behave inside products, a capability nothing else in this roster ships.

  • Heap logoHeapEase of Use

    Autocapture records every interaction from one snippet in under an hour, so teams define events after the fact instead of instrumenting anything first.

The best in GTM Analytics

16 tracked

GTM analytics tools measure how go-to-market actually performs: where traffic and pipeline come from, what marketing touches contribute revenue, and what users do once they arrive.

  • Google Analytics 4 logoGoogle Analytics 4Category Leader

    Two decades of ubiquity, free at any traffic volume, and ad platform integrations no rival matches make Google Analytics the category's inescapable standard.

  • Umami logoUmamiBest Value

    Self hosted Umami delivers funnels, retention, journeys, revenue, and a full API for the price of a VPS, with a free 100,000 event Cloud tier besides.

  • HockeyStack logoHockeyStackMomentum

    Founded in 2022, through Y Combinator in 2023, and a $20M Bessemer Series A by January 2025, HockeyStack is the breakout name in B2B revenue attribution.

  • Triple Whale logoTriple WhaleInnovation

    The Triple Pixel plus Compass, unifying multi touch attribution, marketing mix modelling, and incrementality in one system, is a genuinely new measurement mechanism.

  • Fathom Analytics logoFathom AnalyticsEase of Use

    One script tag puts data live immediately and the whole product is a single dashboard page, the shortest route from signup to a real answer in the category.

Frequently asked questions

6 questions

What is the difference between Countly and PostHog?

The closest philosophical rival, and the harder comparison for Countly. PostHog is also open source and self-hostable, with a generous free cloud tier, plus session replay, feature flags, and experiments in one product. PostHog's centre of gravity is web and product-led SaaS; Countly's is mobile and regulated deployment, with better native mobile SDKs, push notifications, and crash reporting with symbolication. If you are a web SaaS team, PostHog is usually the better and cheaper answer. If you ship native mobile apps into a regulated market, Countly fits better.

Is Countly or PostHog cheaper?

Countly starts at Free if self-hosted (Lite); managed Flex starts at $175 per month. PostHog starts at $0 (generous monthly free tiers; pay only past the allowance). The billing models differ, so the entry price is rarely the whole cost. Countly pricing model: Three editions. Countly Lite is free and open source under AGPLv3, self-hosted, and limited to the aggregate analytics layer. PostHog pricing model: Usage-based pricing per product: every product has a monthly free allowance, then per-unit billing (per event, recording, flag request, survey response, or row) with steep volume discounts; optional platform packages add support and compliance features.

Does Countly or PostHog have a free plan?

Countly has a free plan. Countly Lite is free forever but self-hosted, and excludes drill, funnels, cohorts, and user profiles. The free tier that previously existed on the hosted Flex plan was removed in 2026. Trial terms: 14 days on Flex (credit card required); demo environment for Enterprise. PostHog has a free plan. 1M analytics events, 5K session recordings, 1M feature-flag requests, 100K exceptions, 1,500 survey responses, and 1M data warehouse rows per month, on 1 project with 1-year retention. Trial terms: Not applicable; the free tier is permanent, not a trial.

Who should choose Countly?

Mobile and multi-platform product teams with a data residency, regulatory, or sovereignty constraint that rules out sending raw events to a US cloud, and teams that want analytics, push, surveys, and A/B testing from one server instead of four vendors.

Who should choose PostHog?

Engineering-led SaaS and product teams that want web analytics, product analytics, replay, flags, and experimentation consolidated in one usage-priced platform, and that are comfortable doing their own revenue-attribution modeling if they need it.

What are the best alternatives to Countly and PostHog?

SaaSTracker profiles 15 products in Product Analytics & Session Replay. The Summer 2026 awards in the category went to Amplitude (Category Leader), Mixpanel (Best Value), Kissmetrics (Momentum). SaaSTracker profiles 16 products in GTM Analytics. The Summer 2026 awards in the category went to Google Analytics 4 (Category Leader), Umami (Best Value), HockeyStack (Momentum). Every profile is compiled from primary sources, so a shortlist can be built from pricing, limitations, and fit rather than from star ratings.