In-depth: PostHog vs LogRocket

Want to know how PostHog and LogRocket compare? If you remember nothing else, remember these two things:

  1. LogRocket is a frontend monitoring tool that helps developers detect and solve issues.

  2. PostHog goes beyond just frontend monitoring by integrating powerful analytics, session replay, error tracking, feature flags, experiments, and more into one platform.

How is PostHog different?

1. PostHog replaces multiple tools

LogRocket is a narrow tool. It does one thing, frontend monitoring, and it does it well. PostHog includes many of the same tools, such as session replay, error tracking, and console logs, but augments them with powerful dev tools, such as product analytics, feature flags, A/B testing, surveys, and more. It's everything you need to both squash bugs and understand every aspect of user behavior.

2. PostHog is for engineers, technical users, builders

PostHog is designed from the ground up to meet the needs of developers, and product-focused engineers. Session replay includes advanced tools for debugging errors and performance issues, while feature flags make it easy to test, and roll out, new features at scale. You get SQL access, an MCP server, a fully documented API, and SDKs for every major platform.

3. Transparent pricing, generous free tiers

Our pricing is 100% transparent. There are no hidden fees or surprise overages – what you see is exactly what you'll pay.

We also default to charging as little as possible while still making a sensible margin, and every product comes with a generous free tier. In fact, more than 90% of companies use PostHog for free!

Getting started takes minutes. Our AI setup wizard handles framework detection, SDK configuration, and initial event setup automatically – so you're capturing data without any manual instrumentation work.

Install PostHog with one command

Paste this into your terminal and make AI do all the work.

Learn more
PostHog Wizard hedgehog

Comparing PostHog and LogRocket

PostHog and LogRocket overlap on session replay and frontend monitoring, but diverge significantly on breadth. PostHog includes a wider range of tools that LogRocket doesn't offer, while LogRocket focuses on doing frontend debugging exceptionally well.

LogRocket
compare
Product Analytics
Track usage, retention, and feature adoption with comprehensive analytics
Web Analytics
Privacy-focused web analytics with real-time data and no sampling
Session Replay
Watch real user sessions to understand behavior and fix issues
Heatmaps
Visualize where users click and scroll on your website
Feature Flags
Control feature access with precision and safely roll out changes
Error tracking
Track and monitor errors and exceptions in your code
Surveys
Collect product feedback with no-code surveys and customizable targeting
Experiments
Run statistically rigorous A/B/n tests and validate ideas with confidence
Logs
Search and analyze your application logs with OpenTelemetry.
CDP
Ingest, transform, and send data between 145+ tools
AI assistant
Use AI to assist with tasks and queries
Transparent pricing
Clear, upfront pricing with no hidden fees
Open source
Audit code, contribute to roadmap, and build integrations

Product analytics

While LogRocket offers some product analytics features, it isn't primarily a product analytics tool and lacks many things product managers and engineers require. PostHog is a more capable product analytics app, offering advanced features such as correlation analysis, custom formulas, and a flexible SQL query editor.

  • Correlation analysis: Enables you to automatically find correlated events or properties which affect the conversion rate of users within a funnel. LogRocket doesn't offer any such automated correlation discovery, meaning users must search for correlating factors without assistance.

  • SQL access: PostHog gives you full access to your data by writing your own SQL queries. LogRocket doesn't offer SQL access.

LogRocket
compare
Graphs & trends
Build custom insights and visualizations
Dashboards
Combine insights into shareable dashboards
Funnels
Track users through a sequence of events to find drop-off and improve conversion
Cohorts
Combine users based on properties and events for group analysis
User paths
Understand how users navigate through your product and where they get stuck
Retention
Track user retention over time to understand how long users stay with your product
UTM tracking
Track marketing campaigns with UTM tags
Correlation analysis
Automatically identify significant factors that impact conversion
Group analytics
Track metrics at a company and account level
Custom formulas
Perform calculations and math operations on multiple event series
SQL query editor
Write SQL queries directly against your data without a separate data warehouse

Session replay

Both PostHog and LogRocket offer developer-focused session replay tools that goes beyond what dedicated UX research tools like Hotjar provide.

  • Redux/state capture: LogRocket captures Redux and Vuex state at the moment of each action – a powerful feature for debugging React and Vue apps. PostHog doesn't have native state management capture.

  • AI session summaries: PostHog includes AI-powered session summaries as part of PostHog AI. LogRocket has Galileo AI, which proactively surfaces user struggle patterns and UX recommendations across sessions.

LogRocket
compare
Web app recordings
Capture recordings from single-page apps and websites
Mobile app recordings
Capture recordings in iOS and Android apps
AI summaries
AI-generated summaries of session recordings
Beta
Identity detection
Identify users in recordings for debugging and support
Console logs
Capture console output from the browser for debugging
Playlists
Sort recordings into static and dynamic playlists
Performance monitoring
Track network events and performance metrics within a session
Privacy masking for sensitive content
Automatic and manual masking of sensitive user data
conditional_recording
Add-on
Export recordings to JSON
Export important recording data for offline storage
Add-on
Heatmaps
See clicks and mouse movement on your site
Clickmaps
See what elements people click on in pages
Scrollmaps
Visualize how far users scroll on your website

Error tracking

LogRocket focuses on frontend JavaScript error tracking paired with session replay – you see the error alongside the full replay context of what the user was doing.

PostHog's error tracking connects exceptions to session replays, user behavior, and feature flag changes, but is less mature than dedicated tools for deep observability workflows.

LogRocket
compare
Error tracking
Track and monitor errors and exceptions in your code
Realtime error capture
Automatically capture and report errors as they happen
Error grouping & deduplication
Automatically group similar errors and remove duplicates
Stack tracing
Track the path of a request across your system
Console log capture
Capture console logs alongside error events
Performance monitoring
Trace requests or queries and profile functions
Release and deploy tracking
Track errors by release version and deployment
Integration with session replay
Link errors to session recordings for context
Integration with product analytics
Connect error data with product usage analytics

SDKs and tracking

Both PostHog and LogRocket support broad tracking options, manual event instrumentation, and autocapture. PostHog supports a wide range of web, mobile, and server libraries, although not all features are available across all of them. LogRocket lacks server-side library support.

LogRocket
compare
Custom events
Manually capture custom events and properties wherever they happen
Autocapture
Capture events without manual tracking
Actions
Combine multiple events into a single action for analysis
Reverse proxy
Avoid tracking blockers and capture more data
Cross-domain tracking
Track users across multiple domains and subdomains
Server-side tracking
Send events from your server
Capture API
Send events through an API
JavaScript
Python
Node.js
Android
iOS
Flutter
React Native

Data pipelines

PostHog offers more than 50 integrations, while LogRocket offers slightly fewer. Both tools integrate with popular third-party services.

LogRocket
compare
Import API
Import data via API
Export API
Export data via API
Amazon Redshift
Export data to Redshift
Amazon S3
Export data to a S3 bucket
Azure Blob Storage
Export data to Microsoft Azure
Google Cloud Storage
Import/export data
Snowflake
Export data to Snowflake database
BigQuery
Export data to Google BigQuery for analysis
Rudderstack
Send events via Rudderstack
Airbyte
Extract and load data to external platforms

See our library for a full list.

LogRocket
compare
Hubspot
Send and receive data from Hubspot
Salesforce
Sync event and person data
Zapier
Trigger Zapier automations
Stripe
Stripe customer data connector
Intercom
Messaging and marketing automation
Customer.io
Messaging and marketing automation
Sentry
Send and receive data from Sentry
Segment
Send events via Segment

Compliance

Both PostHog and LogRocket are SOC 2 certified and GDPR-ready. PostHog adds HIPAA compliance, cookieless tracking, and an open-source codebase you can audit – useful for teams in regulated industries or with strict data residency requirements.

LogRocket
compare
GDPR-ready
Can be compliant with GDPR
HIPAA-ready
Can be compliant with HIPAA
Data anonymization
Anonymize user data for privacy
Cookieless tracking option
Track users without cookies
SOC 2 Type II
SOC 2 security certification
SAML/SSO
Use SAML or single sign-on authentication
Scale
2FA
Enforce login with two-factor authentication
EU hosting
Access and store your data in the EU

When to choose PostHog vs LogRocket

  • Want session replay connected to feature flags, A/B testing, product analytics, error tracking, and more – all in one platform with transparent pricing? Go with PostHog.

  • Need debugging with a focus on front-end engineering workflows? LogRocket is built for that.

Recommendations by team type

For engineering-led product teams

  • PostHog – SQL access, open-source code, an MCP server for AI coding tools, feature flags, error tracking, and session replay connected to your full analytics. Everything lives in one platform with a shared data model.

For frontend engineers debugging production issues

  • LogRocket – Galileo AI proactive issue surfacing and session replay paired with console logs and network monitoring are purpose-built for front-end debugging workflows. PostHog's replay is strong but doesn't match LogRocket here.

For teams who need feature flags and A/B testing

  • PostHog – LogRocket has no feature flags or experiments natively. PostHog includes both, tightly integrated with analytics and session replay so you can measure impact and filter replays by flag variant.

For teams building AI products

  • PostHogLLM analytics tracks model performance, token costs, latency, and traces. The MCP server lets AI coding tools like Cursor and Claude Code query your product data without leaving the editor. LogRocket doesn't offer AI observability tooling.

For privacy-conscious and regulated organizations

  • Both are SOC 2 certified and GDPR-ready. PostHog adds open-source code, cookieless tracking, EU data residency, and HIPAA compliance. LogRocket supports GDPR and CCPA but is closed source and doesn't publish HIPAA compliance.

For early-stage startups

  • PostHog – A generous free tier across every product (1M events, 5k replays, 1M flag requests/mo), transparent pricing you can model in advance, and startups can qualify for $50k in free credits. LogRocket's free tier is limited to 1,000 sessions/month with 1 month of data retention.

Install PostHog with one command

Paste this into your terminal and make AI do all the work.

Learn more
PostHog Wizard hedgehog

Frequently asked questions

What's the difference between PostHog and LogRocket?

LogRocket is a frontend monitoring tool focused on session replay, JavaScript error tracking, and performance profiling. One standout features for engineering teams is Galileo AI, which proactively surfaces user struggle patterns and UX issues without manual review.

PostHog is an all-in-one developer platform combining session replay, product analytics, feature flags, A/B testing, error tracking, surveys, and more. The platform includes SQL access, an MCP server for AI coding tools, and an open-source codebase.

The key difference is scope: LogRocket is optimized for frontend engineers who want focused debugging tooling. PostHog is optimized for engineering-led teams who want to measure, experiment, and ship – all from one platform.

Does LogRocket have feature flags or A/B testing?

No. LogRocket doesn't offer native feature flags, A/B testing, or experimentation. You'd need a separate tool like LaunchDarkly, Statsig, or PostHog for this.

PostHog includes both feature flags and experimentation natively, tightly integrated with analytics and session replay. You can roll out features gradually, measure experiment impact on funnels and retention, and filter session replays to specific flag variants.

Does PostHog have Redux state capture like LogRocket?

Not natively. LogRocket's Redux/Vuex state management capture is one of its strongest differentiators for React and Vue engineering teams – you can see the exact application state at the moment something went wrong.

PostHog's session replay captures console logs, network requests, DOM events, and performance metrics, but not Redux state directly. If Redux state capture is essential to your debugging workflow, LogRocket is the better choice for that specific use case.

Can PostHog replace LogRocket?

For most teams, yes. PostHog covers session replay, error tracking, and product analytics – and adds feature flags, A/B testing, and surveys that LogRocket doesn't have.

Check out the best LogRocket alternatives if you're evaluating multiple options.

How much does LogRocket cost?

LogRocket's free Developer tier covers 1,000 sessions/month with 1 month of data retention. Team plans start at $69/month and scale by session count and user seats. Professional is custom pricing and includes performance monitoring and advanced reporting.

How much does PostHog cost?

PostHog uses transparent, usage-based pricing. It's free to get started – no credit card required – and every month you get 1 million analytics events, 5,000 session replays, and 1 million feature flag requests for free.

After the free tier, you pay only for what you use, and pricing gets cheaper at scale. You can set billing limits per product to avoid surprises. Volume discounts and startup credits of $50k are available. More than 90% of PostHog users stay on the free tier.

Does PostHog offer EU hosting?

Yes. PostHog offers EU-hosted cloud with data stored exclusively in the EU. PostHog is SOC 2 certified, GDPR-ready, and HIPAA-ready, with cookieless tracking options and an open-source codebase you can audit.

LogRocket supports GDPR and CCPA compliance but doesn't publish EU-specific data residency options.

Is there a free LogRocket alternative?

Yes. PostHog's free tier covers 5,000 session replays/month – 5x LogRocket's 1,000 – plus product analytics, feature flags, and more. Microsoft Clarity is completely free with unlimited sessions (though it has no product analytics or error tracking). Hotjar has a free tier for basic heatmaps and recordings.

Does LogRocket have an MCP server?

Yes, LogRocket has an MCP server that lets you query session data from AI coding tools. PostHog also has an MCP server that connects your full product data – analytics, feature flags, session replays, and more – to tools like Cursor and Claude Code.

Where can I learn more about session replay tools beyond PostHog and LogRocket?

For a broader comparison, check out our full guide to the best LogRocket alternatives, which covers FullStory, Sentry, Glassbox, Smartlook, and Hotjar. For a wider view across the session replay market, see our guide to the best session replay tools for developers.

Subscribe to our newsletter

Product for Engineers

Read by 100,000+ founders and builders

We'll share your email with Substack

PostHog is an all-in-one developer platform for building successful products. We provide product analytics, web analytics, session replay, error tracking, feature flags, experiments, surveys, LLM analytics, logs, workflows, endpoints, data warehouse, CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.

Community questions

Questions about this page? or post a community question.