Umami Analytics vs PostHog: Which Is Better in 2026?

Updated: August 2026

If you want modern analytics without relying on Google Analytics, Umami Analytics and PostHog are two interesting options. Both are open source, can be self-hosted, and go well beyond basic pageview tracking. But they are built around different ideas.

Umami is primarily a privacy-focused web analytics platform. It focuses on website traffic, events, conversions, funnels, retention, campaigns, revenue, and user journeys while keeping the analytics experience relatively focused. PostHog is much broader: it combines web and product analytics with session replay, feature flags, experiments, error tracking, surveys, data pipelines, and other product-development tools.

That difference matters. If you mainly need privacy-friendly website analytics, Umami can be the cleaner choice. If you want an analytics platform deeply connected to product development, PostHog can make more sense.

If you are evaluating other privacy-first analytics alternatives, our Umami vs Google Analytics comparison and Umami vs Plausible comparison may also be relevant to your decision.

Umami vs PostHog at a Glance

The short version is simple: choose Umami for focused, privacy-first website analytics; choose PostHog when you want analytics to become part of your product-development stack.

What Is Umami Analytics?

Umami is an open-source, privacy-focused web analytics platform designed as an alternative to traditional analytics tools. Its current documentation highlights privacy, lightweight tracking, custom events, dashboards, funnels, retention, UTM tracking, goals, session replay, performance monitoring, teams, APIs, and both self-hosted and cloud deployment.

Privacy is a central part of the product. Umami states that it does not use cookies, fingerprinting, or personal data collection, and its documentation describes it as GDPR compliant out of the box. Self-hosting also gives organizations control over where their analytics data is stored. If you are new to running the platform yourself, our step-by-step self-hosting guide covers the full deployment process.

Umami has also grown beyond simple pageview analytics. Its insights include funnels, retention, goals, UTM campaigns, journeys, revenue, attribution, breakdowns, and comparisons.

What Is PostHog?

PostHog is an open-source platform built around product and developer analytics. It includes product analytics, web analytics, session replay, feature flags, experimentation, error tracking, surveys, data warehousing, data pipelines, and other tools.

This makes PostHog fundamentally different from a focused web analytics product. You can use it to answer questions such as how many people visited a page, but you can also investigate how users move through an application, watch session recordings, run experiments, roll out features to selected users, and investigate errors.

PostHog's product analytics supports trends, funnels, retention, paths, stickiness, and lifecycle analysis. Its analytics data can also connect with session replays, feature flags, and experiments, giving product teams a more integrated view of user behavior.

Privacy and Data Ownership

If privacy is the main reason you are leaving Google Analytics, Umami has a particularly clear proposition.

Umami is designed around anonymous analytics. Its documentation states that it does not use cookies, fingerprinting, or personal data and that self-hosting keeps analytics data on your own infrastructure.

PostHog can also be self-hosted, giving organizations control over their deployment. However, its broader product scope means it can collect substantially more types of product data depending on which features you enable. PostHog's platform includes event analytics, session replay, feature flags, experiments, error tracking, surveys, and other functionality.

Winner for a privacy-first website analytics approach: Umami.

This does not mean PostHog cannot be used in privacy-conscious environments. It means the two products start from different priorities. Umami makes anonymous, privacy-focused web analytics the center of the product, while PostHog gives product teams a much broader toolkit. For a deeper look at how Umami handles compliance, see our GDPR compliance guide.

Features and Analytics Depth

This is where PostHog starts to pull ahead if your definition of analytics includes the entire product lifecycle.

Umami provides a strong set of web analytics features. You can analyze traffic, events, goals, funnels, retention, journeys, campaigns, revenue, attribution, and other dimensions from a single platform.

PostHog goes considerably further. Its platform includes product analytics, session replay, feature flags, experimentation, error tracking, surveys, data pipelines, and a data warehouse.

That makes PostHog more powerful for SaaS companies and application teams, but it can also make the product feel more complex.

Winner for focused web analytics: Umami.

Winner for overall product analytics depth: PostHog.

Event Tracking and Conversion Analysis

Both platforms support custom events, so neither is limited to measuring pageviews.

Umami lets you track actions such as button clicks, form submissions, signups, downloads, and purchases. Event data can also include additional properties. Its documentation shows event tracking being used for conversion goals and revenue-related events.

PostHog is heavily event-oriented. Its product analytics works from events, persons, and properties, with support for both manually instrumented events and autocapture. Those events can then be used across trends, funnels, retention, paths, and other product analytics.

Winner: PostHog for product event analysis; Umami for simpler website conversion tracking.

Funnels, Retention, and User Journeys

Both platforms can answer more sophisticated questions than "How many visitors did I get?"

Umami includes funnel, retention, and journey reports. Its funnel functionality helps identify where visitors drop out of a conversion process, while journeys help you understand how people navigate through a website.

PostHog provides funnels, retention, paths, stickiness, and lifecycle insights through its product analytics system. Because these insights use the same underlying events and properties as other PostHog features, they can be connected to session recordings, feature flags, and experiments.

Winner: PostHog for product behavior analysis; Umami for straightforward website analysis.

Session Replay

Session replay is one area where the comparison is closer than it might first appear.

Umami's current feature set includes session replay, allowing teams to record and replay sessions to understand visitor behavior in context.

PostHog also offers session replay and integrates replay with its broader product analytics environment. This can be particularly useful when a funnel conversion drops and you want to investigate what users actually did during their sessions.

Winner: PostHog for integration with product analytics; Umami for teams that want replay alongside a focused web analytics platform.

Self-Hosting

Both platforms support self-hosting, but their operational requirements and overall scope are different.

Umami's current documentation describes self-hosting with a server capable of running Node.js and a PostgreSQL database. It also provides deployment guides for a range of hosting providers and platforms. Our step-by-step self-hosting guide walks through the entire process with Docker, PostgreSQL, and Nginx.

PostHog also offers an open-source self-hosted deployment. Its documentation recommends PostHog Cloud for the easiest experience and describes the self-hosted hobby deployment as an advanced option. PostHog notes that its hobby deployment is intended for smaller workloads and recommends moving to PostHog Cloud as usage grows.

The key difference is complexity. Running a focused analytics platform is one thing; running a broad product platform containing analytics, replay, experimentation, flags, error tracking, and other services can require more operational consideration.

Winner for straightforward self-hosted analytics: Umami.

If you are weighing the cost of running your own infrastructure, use our self-hosting cost calculator to compare VPS providers and estimate your total monthly cost.

Pricing and Cost

Both platforms offer cloud hosting as well as self-hosting, but their pricing models are different enough that you should compare your expected usage rather than looking only at the headline price.

Umami Cloud currently has a free Hobby plan. Its cloud service uses usage-based pricing, with usage measured through website hits and custom events or event data.

PostHog also uses usage-based pricing for its major products. Its current published pricing includes a free tier for Product Analytics of 1 million events per month, with additional products such as Session Replay and Feature Flags having their own usage allowances and pricing.

Self-hosting changes the calculation for both tools. The software may be available without a traditional SaaS subscription, but you still need to account for servers, databases, backups, monitoring, maintenance, and your own engineering time.

Winner: Tie.

The better value depends heavily on whether you need simple website analytics or the much larger collection of capabilities available in PostHog.

For a closer look at the trade-offs between running Umami yourself and using a managed option, see our self-hosted vs managed Umami article.

Ease of Use

Umami has an advantage if you want analytics to stay in the background.

The product is centered around understanding website traffic and behavior. Its dashboard and insights cover the metrics most website owners expect, while advanced functionality is available when you need it.

PostHog is more ambitious. That is a strength for product teams, but it also means there are more concepts to learn. Events, persons, properties, funnels, replays, feature flags, experiments, surveys, errors, and other tools can all become part of the same workflow.

Winner for simplicity: Umami.

Winner for an all-in-one product workflow: PostHog.

Which Is Better for Developers?

Both products are developer-friendly, but they appeal to different types of developers.

Umami is attractive if you want an open-source analytics system that you can deploy yourself, connect through an API, and integrate into your own infrastructure. Its API provides programmatic access to analytics data, and its documentation includes guidance for building custom dashboards and embedding analytics into applications.

PostHog is especially compelling for developers building SaaS products and applications. Analytics can sit alongside feature flags, experiments, session replay, error tracking, surveys, and other development tools in the same platform.

Choose Umami if you want an analytics tool you control.

Choose PostHog if you want an analytics and product-development platform.

Umami vs PostHog: Pros and Cons

Umami Pros

• Privacy-focused by design.
• No cookies or fingerprinting according to its documentation.
• Open source and self-hostable.
• Managed cloud option available.
• Lightweight tracking script.
• Funnels, retention, journeys, goals, UTM analysis, revenue, and attribution.
• Custom events and event data.
• API access and options for embedding analytics.

Umami Cons

• Less focused on product-development workflows than PostHog.
• Does not aim to replace dedicated feature flagging, experimentation, or error-tracking platforms.
• Self-hosting still requires infrastructure and database management.
• Advanced product analytics workflows are broader in PostHog.

PostHog Pros

• Broad product analytics capabilities.
• Web analytics and product analytics in one platform.
• Session replay.
• Feature flags and experimentation.
• Error tracking and surveys.
• Data warehouse and data pipeline capabilities.
• Open-source self-hosting option.
• Usage-based pricing with generous free tiers for several products.

PostHog Cons

• Broader functionality can mean more complexity.
• May be more platform than a simple website needs.
• Usage-based pricing requires monitoring several product-specific usage metrics.
• Self-hosting a broad product platform can require more operational effort.

Which Analytics Tool Should You Choose?

Choose Umami Analytics if:

• You mainly need website analytics.
• Privacy is a major priority.
• You want a lightweight analytics experience.
• You want to self-host your analytics data.
• You need funnels, retention, campaigns, journeys, or revenue reporting without a huge product platform.
• You prefer a simpler analytics interface.
• You want an open-source alternative to traditional website analytics.

Choose PostHog if:

• You operate a SaaS product or web application.
• You need deep product analytics.
• You want session replay connected to product events.
• You need feature flags or experimentation.
• You want error tracking and surveys in the same ecosystem.
• You want analytics connected to a broader product-development workflow.
• You are comfortable with a more comprehensive analytics platform.

The Bottom Line

There is no universal winner in the Umami Analytics vs PostHog comparison because the products are solving slightly different problems.

Umami is the better fit for privacy-focused website analytics. It combines a focused analytics experience with open-source software, self-hosting, custom events, funnels, retention, campaigns, journeys, revenue analysis, and other useful reporting features.

PostHog is the better fit for product teams that want analytics embedded into the development process. Its combination of product analytics, web analytics, session replay, feature flags, experiments, error tracking, surveys, and data infrastructure makes it much broader than a traditional web analytics platform.

If your question is simply, "How is my website performing?", start with Umami.

If your question is, "What are users doing inside my product, why are they doing it, and how can my team improve the product?", PostHog may be the stronger choice.

The best way to decide is to test both against the same website or application, using the same events, conversion goals, and reporting requirements. That will quickly reveal whether you need a focused analytics product or a broader product analytics platform.

FAQs

Is Umami better than PostHog?

Umami can be better for privacy-focused website analytics, simplicity, and self-hosting. PostHog can be better for product teams that need analytics alongside session replay, feature flags, experiments, error tracking, and other product-development tools.

Is PostHog more powerful than Umami?

PostHog offers a broader range of product-development capabilities. Umami is more focused on web analytics but still includes advanced features such as funnels, retention, journeys, revenue, attribution, session replay, and custom events.

Can I self-host Umami?

Yes. Umami is open source and can be deployed on your own infrastructure. Its current documentation provides hosting and deployment guidance for multiple environments.

Can I self-host PostHog?

Yes. PostHog provides a self-hosted open-source deployment, although its documentation recommends PostHog Cloud for the easiest way to get started and describes self-hosting as an advanced option.

Does Umami have session replay?

Yes. Session replay is included among Umami's current features, alongside traffic analytics, custom events, insights, and performance monitoring.

Does PostHog have website analytics?

Yes. PostHog includes web analytics as well as product analytics. Its web analytics can be used to monitor website traffic, sessions, conversions, web vitals, and revenue.

Which is easier to use, Umami or PostHog?

Umami is generally the more focused option because its primary purpose is web analytics. PostHog provides considerably more functionality, which can be valuable for product teams but may introduce more concepts and configuration.

Which is better for a SaaS company?

PostHog is often the more natural fit when a SaaS company needs product analytics, session replay, feature flags, experiments, and error tracking alongside website analytics. Umami can be a better choice when the primary requirement is privacy-focused website and conversion analytics.

Which is better for privacy-focused website analytics?

Umami is particularly well suited to this use case. Its documentation describes a privacy-first approach without cookies, fingerprinting, or personal data, and self-hosting gives organizations control over their analytics infrastructure.

Conclusion

Umami Analytics vs PostHog is not a simple head-to-head because the two products serve different primary purposes.

Umami stands out for privacy-first website analytics, simplicity, self-hosting, and a focused feature set that covers traffic, events, funnels, retention, journeys, campaigns, and revenue. PostHog stands out as a comprehensive product-development platform that combines analytics with feature flags, experiments, session replay, error tracking, and surveys.

If your priority is understanding how a website performs with a privacy-conscious, developer-friendly tool, Umami is an excellent choice. If you need analytics embedded into the entire product-development workflow, PostHog has a broader appeal.

The best way to decide is to test both against the same website or application, using the same events, conversion goals, and reporting requirements. That will quickly reveal whether you need a focused analytics product or a broader product analytics platform.

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