惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

量子位
小众软件
小众软件
S
SegmentFault 最新的问题
人人都是产品经理
人人都是产品经理
博客园 - 【当耐特】
博客园 - 三生石上(FineUI控件)
C
Check Point Blog
S
Schneier on Security
Microsoft Azure Blog
Microsoft Azure Blog
N
Netflix TechBlog - Medium
Engineering at Meta
Engineering at Meta
GbyAI
GbyAI
罗磊的独立博客
有赞技术团队
有赞技术团队
V
V2EX
Y
Y Combinator Blog
博客园 - 叶小钗
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
F
Fortinet All Blogs
W
WeLiveSecurity
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Stack Overflow Blog
Stack Overflow Blog
The Cloudflare Blog
S
Security @ Cisco Blogs
TaoSecurity Blog
TaoSecurity Blog
MyScale Blog
MyScale Blog
Hugging Face - Blog
Hugging Face - Blog
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
www.infosecurity-magazine.com
www.infosecurity-magazine.com
PCI Perspectives
PCI Perspectives
H
Heimdal Security Blog
Schneier on Security
Schneier on Security
Security Latest
Security Latest
AWS News Blog
AWS News Blog
月光博客
月光博客
Security Archives - TechRepublic
Security Archives - TechRepublic
Recent Announcements
Recent Announcements
Google DeepMind News
Google DeepMind News
博客园 - Franky
Cisco Talos Blog
Cisco Talos Blog
T
Threat Research - Cisco Blogs
M
MIT News - Artificial intelligence
T
Troy Hunt's Blog
N
News and Events Feed by Topic
Cloudbric
Cloudbric
Scott Helme
Scott Helme
云风的 BLOG
云风的 BLOG
Attack and Defense Labs
Attack and Defense Labs

PostHog's RSS Feed

Training our own AI models - PostHog From 270GB RAM to 5GB: Moving local flag evaluation from Django to Rust The best analytics stack for vibe-coded apps The do's and don'ts of minimum viable product marketing - PostHog The best MCP servers for startups, by workflow 4,063 errors closed without a human opening PostHog – here's what we learned - PostHog PostHog Code and the self-driving product - PostHog Why attacking your competitors online is dumb - PostHog The best real-time analytics platforms for developers, compared DuckDB vs ClickHouse: Why we use both at PostHog - PostHog PostHog's next chapter - PostHog Making Claude Cowork actually useful - PostHog PostHog vs Matomo in-depth tool comparison You're doing lifecycle emails wrong Untangling Tokio and Rayon in production: From 2s latency spikes to 94ms flat The best HIPAA-compliant A/B testing tools - PostHog A beginner's guide to testing AI agents - PostHog I hate the standup bot (so I built an agent to do it for me) - PostHog The best CDPs for developers, compared The best error tracking tools for developers, compared The best feature flag software for developers, compared 7 best session replay tools for mobile apps 7 best free open source business intelligence tools right now 7 best free and open source LLM observability tools PostHog vs LogRocket in-depth tool comparison The most popular PostHog alternatives, compared Open source (and self-hosted) session replay tools - PostHog The 9 best GA4 alternatives for apps and websites - PostHog PostHog vs Google Analytics 4 in-depth tool comparison How we built automatic clustering for LLM traces - PostHog The 7 best HIPAA-compliant analytics tools 8 best open source analytics tools you can self-host - PostHog The best product analytics tools for startups, compared The best in-app survey tools for product teams, compared The 7 best mobile app analytics tools PostHog vs Hotjar in-depth tool comparison The 8 best free and open-source feature flag services - PostHog The 5 best free and open-source A/B testing tools - PostHog The best mobile app A/B testing tools, compared What is a feature flag? Feature Flags vs Remote Config vs A/B Testing PostHog is now available in Vercel’s v0 The best Heap alternatives & competitors, compared PostHog vs Heap in-depth tool comparison PostHog vs Pendo in-depth tool comparison PostHog × Vercel: feature flags, minus the plumbing Your logs' final destination is in GA. You always end up here anyway Behind the scenes of a PostHog hackathon - PostHog The most popular Mixpanel alternatives & competitors, compared PostHog vs Mixpanel in-depth tool comparison The 9 best GDPR-compliant analytics tools How we use Logs at PostHog The best web analytics tools for developers, compared Stop AI slop: Run evals with LLM-as-a-Judge - PostHog You product data just got a job: Workflows is now out App onboarding: How to fix drop-off points Meet Logs (beta) – logs with all the tools you’re already using Why small teams crush tiger teams How we built user behavior analysis with multi-modal LLMs (in 5 not-so-easy steps) - PostHog The best Contentsquare alternatives & competitors, compared 8 learnings from 1 year of agents – PostHog AI - PostHog Why we killed our AI product assistant Workflows graduate to beta! Product data, meet automation The best Rollbar alternatives & competitors, compared Workflows are now in Alpha and I already broke mine - PostHog I've consistently underestimated how important communication is as a CEO - PostHog How we made feature flags even faster and more reliable The best session replay tools for developers, compared What I learned attending my first ever hackathon - PostHog Did you know AI is answering our community questions? - PostHog How not to be boring - PostHog We built an internal tool to generate changelog images for social media - PostHog What we built at our windswept Mykonos hackathon - PostHog How we built our onboarding email flow (with actual performance data) - PostHog We're building a better PostHog community by closing our public Slack - PostHog Introducing Notebooks for PostHog - PostHog Why we've launched PostHog user surveys - PostHog How we made feature flags faster and more reliable - PostHog In-depth: ClickHouse vs Redshift - PostHog Introducing HouseWatch: An open-source toolkit for ClickHouse - PostHog Introducing HogQL: Direct SQL access for PostHog - PostHog What we built at our sun-kissed Aruba hackathon - PostHog In-depth: ClickHouse vs BigQuery - PostHog In-depth: ClickHouse vs Elasticsearch - PostHog HogMail #22: Why do companies over-hire?" - PostHog Our simpler goal: Help engineers to be better at product - PostHog In-depth: ClickHouse vs Snowflake - PostHog HogMail #21: Avoiding the "Product Death Cycle" - PostHog Sunsetting Kubernetes support for PostHog - PostHog Why 'Product Engineer' is the most fun role I've had in tech - PostHog HogMail #20: Why do startups fail? - PostHog The best Google Optimize alternatives for apps and websites - PostHog Array 1.43.0: Massive performance improvements! - PostHog In-depth: ClickHouse vs Druid - PostHog HogMail #19: Which meetings should you kill? - PostHog CEO diary: The things I learned in 2022 - PostHog The essential tools used by product engineers - PostHog HogMail #18: What can SaaS learn from the New York Times? - PostHog What is a product engineer? - Product Engineer Handbook - PostHog Array 1.42.0: Get beta features via our roadmap! - PostHog HogMail #17: The personal traits that can't be taught - PostHog
PostHog vs FullStory in-depth tool comparison
Joe Martin · 2026-03-03 · via PostHog's RSS Feed

PostHog and FullStory are both popular tools for understanding user behavior, but how are they different? Here's the short answer.

  • PostHog is an all-in-one [developer platform] (/products) built to help engineers build successful products. It offers a wide range of features to help teams build better products, including analytics, session replay, feature flags, error tracking, experiments, and more.

  • FullStory is a behavioral data and analytics platform focused on session replay, product analytics, and frustration signal detection. It has expanded in recent years with StoryAI (AI-powered insights), Guides and Surveys, and Anywhere (data warehouse sync and real-time activation).

In this comparison, we'll explore, compare and contrast PostHog and FullStory in detail, so you can decide which tool is right for you. We'll look at areas such as...

How is PostHog different?

1. PostHog is an all-in-one developer platform

FullStory has expanded beyond session replay into analytics, AI insights, and in-app messaging, but it still doesn't include feature flags, A/B testing, or error tracking.

In contrast, PostHog is a comprehensive, all-in-one platform that has robust analytics, feature flagging, A/B testing, session recording, error tracking, workflows and more.

It easily replaces an entire stack of traditional tools, such as LaunchDarkly, Amplitude, and FullStory.

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, 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!

In 2024, we cut prices for session replay and analytics events. In 2025, we've cut prices for data pipelines and surveys. If we can cut pass a saving onto our customers, we always will.

This comparison will compare all available features, regardless of pricing tier. Visit the pricing section in the FAQ for more information on pricing.

  • Product analytics: Both FullStory and PostHog offer product analytics, but what they offer is drastically different. We explore this comparison in greater detail below.

  • Data warehouse: PostHog includes a built-in data warehouse for importing and querying external data. FullStory offers Anywhere: Warehouse for exporting behavioral data to BigQuery, Snowflake, Redshift, and Databricks, and Anywhere: Activation for real-time behavioral triggers – but these are paid add-ons.

Further reading: How FullStory compares to other PostHog alternatives

Product Analytics

FullStory is aimed at UX designers, general product managers, and customer success teams, while PostHog is suited to product engineers, front-end developers and more technical users. As a result, PostHog offers a wider range of analytics tools, including its own SQL dialect for detailed analysis.

Product analytics in PostHog is closely integrated with other tools, such as feature flags and session replays.

This means you can use a Trends insight to examine the performance of a particular metric, click on a point in the graph to see users who contributed to it, and then jump directly to their session replay to see what they did.

You can also do this in reverse by filtering for session replays where particular events occur, and creating dynamic playlists. We cover these session replay features in greater depth below.

FullStory's StoryAI (powered by Google Gemini) can summarize sessions, answer natural language questions, and proactively surface friction points – but it's a premium add-on and doesn't connect to experiments or feature flags since FullStory lacks those features.

PostHog ships weirdly fast. We never stop shipping. Visit the weekly changelog to keep up to date, or take a look at what we’re planning in our public roadmap!

Session replay

FullStory is well-known for session replay, while PostHog is an all-in-one platform. The gap between them on replay has narrowed significantly, with PostHog offering developer-focused debugging tools that FullStory doesn't.

PostHog's session replay includes console logs, network request monitoring, a DOM explorer, performance metrics, and AI-powered session summaries – making it more powerful for debugging. Data retention varies depending on the plan you choose.

FullStory's strength is its frustration signal detection (rage clicks, dead clicks, error clicks) and StoryAI-powered session summaries. It offers a 30,000 sessions per month free tier with 12 month retention, but limited features.

Heatmaps, clickmaps and scrollmaps

Different types of heatmaps enable you to see where users are focusing their attention – or even precisely where they are looking on a page.

Integrations and data pipelines

PostHog includes a built-in CDP with sources, transformations, and destinations, as well as a built-in data warehouse. FullStory offers Anywhere: Warehouse (hourly data sync to BigQuery, Snowflake, Redshift, S3, GCS, Azure Blob, and Databricks) and Anywhere: Activation (real-time behavioral triggers) – both are paid add-ons.

Below are some of the most popular integrations for FullStory and PostHog:

Both PostHog and FullStory support a broad range of tracking options, manual event instrumentation, and autocapture.

Should you autocapture events?

Autocapture is much faster to set up than manual instrumentation, but some argue that it creates too much noise to be useful. We disagree, and it's why PostHog gives you your first million events for free, every month – so you can capture events without worrying about event limits. It's something we feel strongly about.

When to choose PostHog vs FullStory

  • Want to understand user behavior, debug issues, run experiments, and ship features – all without switching tools? Go with PostHog.
  • Need session replay with frustration detection, AI-powered behavioral insights, and in-app guides for non-technical teams? FullStory is built for that.

Recommendations by team type

For engineering-led product teams

  • PostHog – SQL access, MCP server for AI coding tools, SDKs for every major platform, error tracking, LLM observability, and tight integration between analytics, feature flags, and experiments. Built by engineers, for engineers.

For UX and customer success teams

  • FullStory – Frustration signal detection, StoryAI-powered session summaries, and in-app Guides and Surveys make it accessible to non-technical teams who want to diagnose user problems and improve digital experiences.

For growth and experimentation teams

  • PostHog – Run A/B tests, roll out features incrementally with feature flags, and measure impact on conversion and retention – all in one workflow. FullStory doesn't offer feature flags or experiments.

For teams building AI products

  • PostHog – Native LLM observability for tracking model performance, token costs, and user interactions. FullStory's StoryAI helps analyze behavioral data but doesn't offer AI observability tools.

For ecommerce and retail teams

  • FullStory – Frustration signals, conversion funnel analysis, and the recently launched Guides and Surveys are well-suited to optimizing ecommerce experiences. FullStory's mobile app add-on supports native app analytics.

For privacy-conscious and regulated organizations

  • Both are SOC 2 certified, GDPR-ready, and HIPAA-ready. PostHog adds open source code, cookieless tracking, EU hosting, and a built-in data warehouse for full data ownership. FullStory is also ISO 27001 and ISO 42001 certified.

For early-stage startups

How much do PostHog and FullStory cost?

PostHog uses transparent, usage-based pricing. It's free to get started – no credit card required. Every month you get 1 million events, 5,000 web session replays, 2,500 mobile session replays, and 1 million feature flag requests for free. After that, you pay only for what you use, and pricing gets cheaper at scale. You can set billing limits per product to avoid surprises.

FullStory offers a free plan (FullstoryFree) with 30,000 sessions/month and 12-month retention, but it excludes dashboards, mobile apps, StoryAI, and configurable form privacy. Paid plans (Business, Advanced, Enterprise) require contacting sales – pricing isn't publicly available.

Do PostHog and FullStory offer free trials?

It doesn't cost anything to get started with PostHog, and every month you get your first million events and first 5,000 sessions for free. You can set billing limits to stay within the free allowance forever.

FullStory offers a 14-day free trial of its Business plan (limited to 5,000 sessions), after which you can convert to the free FullstoryFree plan or contact sales for a paid plan.

Does FullStory have feature flags or A/B testing?

No. FullStory doesn't offer native feature flags, A/B testing, or experimentation. You'd need a separate tool like LaunchDarkly, Optimizely, or PostHog. PostHog includes both feature flags and A/B testing natively, tightly integrated with analytics and session replay.

Does FullStory have error tracking?

No. FullStory doesn't offer error tracking or crash monitoring. PostHog includes native error tracking that connects exceptions and stack traces directly to session replays, user behavior, and feature flag changes.

Does FullStory have surveys?

Yes. FullStory launched Guides and Surveys in February 2026, adding in-app tours, smart tips, checklists, banners, and surveys targeted by user behavior. PostHog also includes surveys with NPS, CSAT, CES, and custom question types, with targeting based on person properties, URLs, feature flags, or events.

What is StoryAI?

StoryAI is FullStory's suite of AI-powered features, powered by Google Gemini. It includes session summaries, natural language queries (Ask StoryAI), proactive opportunity detection, and AI-suggested elements. Session summaries are included on Advanced and Enterprise plans; Opportunities and Ask StoryAI require StoryAI Premium.

PostHog also offers AI features including session replay summaries, an MCP server for AI coding tools like Cursor and Claude Code, and PostHog AI for generating insights and querying your data in natural language.

Does session replay capture personal information?

Both PostHog and FullStory offer privacy masking to automatically remove text field input from session replays, as well as more advanced controls to further protect user privacy. PostHog also supports cookieless tracking and is open source, so you can audit exactly what data is collected.

Which has better session replay?

Both are strong but serve different needs. PostHog's replay includes console logs, network monitoring, a DOM explorer, and performance metrics – ideal for debugging. FullStory's replay excels at frustration signal detection (rage clicks, dead clicks) and AI-powered session summaries via StoryAI. FullStory's free tier offers more sessions (30,000/month vs 5,000/month), but PostHog's replay is more developer-focused.

Can I migrate from FullStory to PostHog?

Yes – though there are some caveats. You can export historical event data from FullStory and import it into PostHog using the historical migrations guide. Session replay recordings can't be migrated since they're stored in FullStory's proprietary format. The simplest approach is to install PostHog's snippet alongside FullStory, run both in parallel, and transition fully once you're confident in the setup.

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.

How long does it take to deploy PostHog?

Minutes. Use the setup wizard to connect your app – one terminal command and our AI wizard handles framework detection, SDK config, and more. Autocapture starts collecting events immediately. Enable session replays, feature flags, and other features from your project settings.

What are the alternatives to PostHog and FullStory?

Other popular tools include Hotjar, LogRocket, Heap, Amplitude, and Mixpanel. For a full breakdown, see our guide to the best FullStory alternatives and 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