In-depth: PostHog vs Sentry
Contents
PostHog and Sentry are multi-product platforms trusted by developers to help make their apps better. There is some overlap in how both manage to do that (we're both "telemetry" tools), but many features differ.
Sentry is an application monitoring tool with error and performance monitoring, session replay, logs, metrics, uptime and cron monitoring, and Seer, a paid AI debugging agent. It's built for engineers and devops teams.
PostHog is your product's context layer. On top of error tracking, it includes product analytics, experiments, session replays, feature flags, distributed tracing, AI observability, logs, metrics, an AI assistant, and more; a data warehouse and CDP tie it all together, unifying that context into one source agents can read across. You can work with all of it from Slack, the CLI, or your own editor via the MCP. It's built for engineers, AI builders, and product teams.
How is PostHog different?
1. We focus on user behavior
The core data each product cares about reveals a lot about their priorities:
- PostHog cares about events and people.
- Sentry cares about errors and code.
Broadly, PostHog is mostly a proactive tool that helps you make your product better. Sentry is mostly a reactive tool that helps prevent your product from getting worse.
2. We're free and usage-based
We pride ourselves on having a generous free tier and this shows when compared to Sentry. Our free tier offers 100 times more session replays and 20 times more errors, and 97% of companies use PostHog for free.
| Free every month | PostHog | Sentry (Developer plan) |
|---|---|---|
| Errors | 100,000 | 5,000 |
| Session replays | 5,000 web + 2,500 mobile | 50 |
| Logs | 10 GB | 5 GB |
| Custom dashboards | No limit | 10 |
| Team members | Unlimited | 1 |
| Surveys | 1,500 responses | Feedback widget only |
Beyond our free tier, our pricing is usage-based and transparent. Want to know how much we'll charge? See our pricing calculator.
Sentry also keeps some features off its free plan, including profiling, SAML SSO, and its Seer AI agent, and the dashboard cap only lifts fully on the Business plan.
3. Flexibility and breadth
Sentry is much more focused and opinionated in how you use it. The tools are tailored for developers and devops teams to do error and performance monitoring.
PostHog offers more flexibility and breadth. It's built for developers but also used by marketing, growth, and data teams. Startups and scaleups use PostHog for tracking retention, running targeted A/B tests, booking user interviews, and more.
Because all of that is one dataset, you can query it with SQL. Data moves the other way too: batch exports and CDP destinations push PostHog data to your warehouse or other tools. Sentry's equivalent, data forwarding, covers error events only and is a Business-plan feature.
Install PostHog with one command
Paste this into your terminal and make AI do all the work.
Comparing PostHog and Sentry
Tracking exceptions in PostHog enables you to easily integrate with all of the other products we offer. You can easily create insights to track errors over time, watch replays of users encountering an exception, or target surveys when a user faces a bug.
Given PostHog already tracks context about your users, it is possible to understand the impact of exceptions more accurately. For example, you can filter issues affecting VIP user cohorts, debug errors by watching replays of their sessions, or find errors affecting the most amount of sessions.
Core features
The core of PostHog and Sentry are different. Sentry focuses on error and performance monitoring, while PostHog has error tracking along with a broader suite of tools to help developers build better products.
Sentry offers Explore (for errors, traces, logs, metrics, and replays) and Dashboards for querying and visualizing application data, but it doesn't include product analytics features like funnels, retention, or user paths found in PostHog.
PostHog includes network performance tracking in session replay and web vitals tracking in web analytics. This helps you both analyze performance and requests for specific sessions and get an overview of web vitals and areas for improvement.
Platform
- Sentry's free plan is limited to 1 user, 5k errors, and 50 replays, along with several feature restrictions. PostHog has a free plan and a "pay-as-you-go" paid plan with a generous free tier, meaning you get to use all of the features for free.
Error and performance monitoring
Error and performance monitoring is the main focus of Sentry, and it keeps adding to it: logs and application metrics are now generally available, alongside uptime monitoring, AI agent tracing, and Seer, a paid AI agent that diagnoses issues and proposes fixes.
PostHog has a full error tracking product as well as logs, distributed tracing, network performance recording, and metrics, though Sentry's tracing and monitoring features are more mature.
Session replay
Replays enable you to watch how users experience your app, diagnose issues, improve support, and understand real user behavior. Both PostHog and Sentry have this as a core part of their offering.
Where PostHog goes further is in not making you watch. Replay Vision runs AI scanners over your recordings: point one at sessions that hit a particular error and it reviews each session's video and events, flags dead ends and frustration, summarizes what the user was trying to do, and cites the exact moment in the recording so you can check its work.
Each observation is logged as an event, so you can chart how often a problem shows up or alert on it like any other metric. The first 2,500 credits a month are free.
Sentry's replays are a debugging aid attached to an issue: useful for seeing what happened right before an error, but something you watch one at a time.
Sentry's figures assume the Team plan billed monthly ($29 base) with reserved replay volume; PostHog's are web recordings with no base fee.
Logs
Both products now ship centralized log management, which matters because logs are usually the second thing you open after an error.
- PostHog Logs is generally available with 10 GB a month free, then $0.25 per GB. Logs link to the session replay and error that produced them, so the trail from a failing request to what the user saw is one click.
- Sentry Logs became generally available in September 2025, with 5 GB a month free on every plan, then $0.50 per GB. It sits alongside errors and traces in Sentry's Explore view.
Analytics
On the flip side to error and performance monitoring, analytics is a main focus of PostHog where it shines compared to Sentry.
Sentry does have some analytics capabilities, but they're limited compared to PostHog's full suite of product analytics features. Sentry replaced its Insights pages with pre-built Dashboards in 2026; custom dashboards are capped at 10 on the free plan and 20 on Team, and anomaly detection and trend analysis remain Business-only.
An error in Sentry and an event in PostHog are relatively similar. Using this as a basis, PostHog has a 200x higher free tier (5k vs 1M).
Sentry only autocaptures errors. If you really wanted to use it to capture clicks and pageviews, you would need to do so manually.
Feedback and surveys
Feedback in Sentry is connected to errors and included on every plan. Its widget supports theme, text, position, and screenshot customization, but it's a bug-report widget: there are no question types, branching, or targeting.
Surveys in PostHog are a standalone product with more customization and targeting options.
Security and compliance
Integrations
Both PostHog and Sentry work with other tools, but PostHog can act more as a single source of truth for your product and user data. Sentry acts more as one of many producing data in your stack.
AI agents and MCP
Both companies are building on the idea that an agent, not a person, should do the first pass on an error.
- Sentry has Seer, a paid add-on ($40 per active contributor per month, not available on the free plan) that scans issues, finds root causes, and can open fix PRs, and a hosted MCP server that lets Claude, Cursor, and other clients query your Sentry data.
- PostHog has PostHog AI for asking questions and generating fixes, Scouts that watch your product data and send reports to an Inbox where agents pick them up and open PRs (in beta, three PRs a month free), a free MCP server with a read-only mode, and a Slack app you can tag in a thread to ask a question or ship a fix.
The difference is scope. Seer works from the error outward. PostHog's agents work from everything the product knows about the user, the session, the flags they saw, and the error, which is the same context argument that runs through this whole comparison.
When to choose PostHog vs Sentry
Choosing the right error tracking tool depends on what problem you're solving. Here's a quick guide:
Want one platform where every error arrives with the session replay, feature flags, logs, and user context behind it, feeds analytics, experiments, and a data warehouse you can query with SQL, and works from Slack, the CLI, or your editor via the MCP, all on a free tier most teams never outgrow? Go with PostHog.
Need deep stack traces, distributed tracing, and mature error triage workflows? Sentry is probably the right choice.
Recommendations by team type
For product and growth teams
- PostHog – Connect errors to user behavior, run experiments, and measure business impact in one workflow. Non-technical teammates can use surveys, dashboards, and cohorts without engineering help.
For DevOps and SRE teams
- Sentry – Deep performance monitoring, distributed tracing, and incident response workflows built for reliability engineering.
For mobile-focused teams
- Sentry – More mature crash symbolication, native SDK support, and longer track record with complex mobile debugging.
For teams building AI features
- PostHog – AI features fail twice over: the exception your code throws when a provider times out, and the generation that returns fine but gives the user a bad answer. Error tracking catches the first and AI observability catches the second, capturing every LLM generation and trace with its cost, latency, and output, and both land in the same session next to the replay, so you can see which prompts fail, who they fail for, and what they cost.
For privacy-conscious and regulated organizations
- Both are SOC 2 certified and GDPR-ready with EU data residency options. PostHog is HIPAA-ready and offers raw data access via its data warehouse. Sentry provides BAA agreements and enterprise compliance packages.
For early-stage startups
- PostHog – A single platform that scales from landing pages to product analytics without rebuilding your stack as you grow. The generous free tier means you won't outgrow it quickly. Startups can also qualify for free credits. For all the details about how much PostHog might cost, see our pricing page.
| Free usage per month | |
|---|---|
| Error tracking | 100k errors |
| Product analytics | 1 million events |
| Session replay | 5,000 web + 2,500 mobile recordings |
| Surveys | 1500 responses |
| LLM observability | 100k events |
| Feature flags and A/B testing | 1 million API requests |
| Data warehouse | 1 million synced rows |
Install PostHog with one command
Paste this into your terminal and make AI do all the work.
Frequently asked questions
What does it mean for PostHog to be your product's context layer?
It means the data an agent needs to diagnose a problem, spot an opportunity, and ship a fix all exits in one place. Error tracking, session replay, logs, product analytics, feature flags, experiments, and AI observability all write to the same place and share one model of users and sessions, so a stack trace arrives with the replay of what the user did, the flags they were in, and the logs your server wrote at the same moment.
The data warehouse and CDP close the loop: business data from Stripe, HubSpot, Postgres, and other sources is synced in alongside your product data, and anything can be pushed back out to the tools you already use.
And you don't have to be in PostHog to use it. Ask a question or hand off a fix from Slack, the web app, PostHog Desktop, or your own editor via the MCP, and the agent sees your whole product, not just its errors.
PostHog says it makes your product "self-driving" – how does that work?
It means PostHog digs through your product data, finds what's worth fixing, and has agents do the work.
It starts with context. A full suite of developer tools – AI Observability, Product Analytics, Session Replay, Feature Flags, Experiments, Error Tracking, Logs, and more – captures everything happening in your product, and a Context Warehouse unifies it into one source agents can read across.
From there, Scouts read across all of it and sort what's worth knowing from what's just noise. What clears the bar becomes a report in your inbox: an agent picks it up, roots out the cause, and opens a PR. You review and merge.
You can steer it from Slack, the web app, or your own editor via the MCP or CLI.
What's the difference between PostHog and Sentry?
Sentry focuses primarily on deep error monitoring and performance tracing. PostHog provides broader data context by combining error tracking with product analytics, session replays, feature flags, and more.
What's the best error tracking tool for developers?
If you want full context, including stack traces, user sessions, and console logs, PostHog is the best choice. It combines error tracking, session replay, analytics, and feature flags in one platform. For large-scale reliability and performance monitoring, Sentry is the stronger option.
What should I look for in an error tracking tool?
Key features to evaluate include: automatic error grouping (so you're not flooded with duplicate alerts), stack trace quality, source map support for minified code, session replay integration, release tracking, alerting options, and pricing that scales with your usage. For product teams, integration with analytics and feature flags adds valuable context.
How much does Sentry cost?
Sentry has three tiers:
- Developer: $0, 5k errors, 1 user
- Team: $29/month ($26 billed annually), 50k errors, unlimited users
- Business: $89/month ($80 billed annually), 50k errors, unlimited users
- Enterprise: custom pricing
Each self-serve tier includes unlimited projects, 5M spans, 50 replays, 5 GB of logs, 5 GB of application metrics, 1 GB of attachments, 1 cron monitor, and 1 uptime monitor. More errors, spans, replays, logs, and attachments cost more. Profiling and Seer, Sentry's AI debugging agent ($40 per active contributor per month), are paid extras that aren't available on the Developer plan.
Does Sentry or PostHog offer free trials?
Do you know what is better than a free trial? Being free forever. This is what we believe at PostHog and means you can get all of the features for free, no trial needed.
Sentry has a 14-day free trial for paid features.
How long does it take to implement PostHog?
You can get started with PostHog in less than 90 seconds using our AI install wizard. Once done, it begins autocapturing events and recordings. Feature flags, A/B tests, and surveys require a bit more setup to create and implement.
Install PostHog with one command
Paste this into your terminal and make AI do all the work.
Can I use PostHog with a CDP?
Yes. PostHog includes a built-in CDP that lets you import, transform, and export data without needing a separate tool. You can also integrate PostHog with third-party CDPs like Segment and Rudderstack.
See our docs on using PostHog with a CDP for setup instructions, or browse our comparison of the best customer data platforms for developers if you're evaluating options.
What are the best error tracking tools?
The top error tracking tools for developers include:
- PostHog – Best all-in-one platform combining error tracking with product analytics, session replay, feature flags, and more
- Sentry – Best for deep error monitoring and performance tracing
- Bugsnag – Strong mobile crash reporting with stability scores
- Raygun – Good for teams wanting error tracking plus APM
- Rollbar – Developer-focused with real-time error feeds
- GlitchTip – Lightweight open-source alternative for self-hosting
For a detailed comparison of features, pricing, and use cases, see our full guide to the best error tracking tools.
Are there open-source error tracking tools?
Yes. PostHog (MIT) and GlitchTip (MIT) offer open-source editions. Sentry is self-hostable with its main web app source-available under the Functional Source License (FSL), which converts to Apache-2.0 after two years. These options are ideal for teams who want full data ownership and flexibility in how they run their error tracking systems.
Which error tracking tool is better for early-stage startups?
PostHog is usually the better starting point. Early-stage teams benefit from a single tool that covers a full suite of products without managing multiple integrations or contracts. Sentry becomes more valuable as infrastructure complexity increases.
What's the difference between error tracking and logging?
Logging records all application events (info, warnings, errors) in chronological order for debugging and auditing. Error tracking specifically captures exceptions and crashes, groups them by root cause, and provides context like stack traces, affected users, and frequency. Error tracking tools are purpose-built for triaging and resolving bugs, while logs require more manual analysis.
PostHog offers both – error tracking and logs are generally available.
What's the difference between error tracking and APM?
Error tracking focuses on catching and diagnosing bugs, crashes, and exceptions. APM (Application Performance Monitoring) measures response times, throughput, and resource usage to identify slowdowns and bottlenecks.
Many tools like Sentry offer both. PostHog has both too – error tracking next to distributed tracing and metrics (alpha) – and adds the product analytics context that shows you who the slowdown affected.
Can error tracking tools work with serverless and edge functions?
Yes. Modern error trackers support serverless and edge runtimes – including AWS Lambda, Vercel Edge Functions, and Cloudflare Workers. Both PostHog and Sentry provide SDKs and guides for these environments (for example, Sentry's AWS Lambda and Cloudflare Workers guides; PostHog's Vercel and Cloudflare Workers docs). Configuration can differ from traditional servers because of cold starts, runtime differences (e.g., Edge runtimes), and execution/time limits imposed by the platforms.
How do I reduce noise from error tracking alerts?
Set up intelligent alerting rules based on error frequency, affected user count, or specific error types. Use sampling for high-volume, low-priority errors. Configure ignore rules for known issues or third-party errors you can't control.
Both PostHog and Sentry let you customize alert thresholds and notification channels.
Does PostHog replace Sentry?
Yes, if you're a startup or product team that wants error tracking with rich user context. PostHog combines error tracking with session replays, product analytics, feature flags, and more, giving you everything you need to understand who's affected, watch what happened, and ship fixes faster. For most teams, this is more than enough.
No, if you need infrastructure-level debugging for complex distributed systems. Sentry remains stronger for deep performance tracing, low-level profiling, span-level diagnostics, and advanced APM workflows. DevOps and SRE teams managing microservices at scale may still want to use Sentry.
What languages and frameworks do PostHog and Sentry support?
Both platforms offer broad SDK support. Sentry supports 100+ platforms including JavaScript, Python, Ruby, PHP, Go, Java, .NET, React, Vue, Angular, iOS (Swift/Objective-C), Android (Java/Kotlin), React Native, Flutter, Unity, and Unreal Engine. PostHog has 19 official SDKs: JavaScript, Node.js, Python, Ruby, PHP, Go, Java, .NET, Rust, Elixir, iOS, Android, React Native, Flutter, Kotlin Multiplatform, Capacitor, Unity, Roblox, and React, plus framework guides for Next.js, Vue, and others. For error tracking specifically, Sentry has deeper language coverage due to its longer history as a dedicated error monitoring tool.
What's the learning curve for each platform?
PostHog also offers an AI install wizard that gets you up and running in under 90 seconds. The broader feature set (analytics, replays, flags, experiments) means there's more to explore, but you can adopt features incrementally as your needs grow.
How do billing alerts and spend management work?
Both platforms offer spending controls. PostHog allows you to set hard billing limits per product (when reached, data collection pauses until the next cycle). Sentry offers spend notifications and maximum spend thresholds. Sentry also provides "spike protection" to prevent unexpected bills from sudden error surges. PostHog's per-product billing limits give more granular control, while Sentry's spike protection is particularly useful for error-prone applications.
How do error tracking tools handle PII and sensitive data?
Most tools automatically scrub common PII patterns (emails, credit cards, passwords) from error reports. Both PostHog and Sentry let you configure custom scrubbing rules and mask sensitive fields. For session replay, both default to masking text inputs and offer granular privacy controls. Self-hosting or EU data residency options provide additional compliance flexibility.
What's the best error tracking tool for mobile apps?
For native mobile crash reporting with deep symbolication, Sentry has more mature SDKs. For understanding user behavior alongside errors, PostHog provides session replay and analytics context. Both support iOS, Android, React Native, and Flutter. Other mobile-focused options include Bugsnag and Firebase Crashlytics.
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PostHog is your product's context layer. With a full suite of developer tools – AI observability, product analytics, session replay, feature flags, experiments, error tracking, logs, and more – PostHog ingests and stores all the data agents need to diagnose problems, uncover opportunities, and ship fixes. A data warehouse and CDP tie it all together, unifying that context into one source agents can read across. You can steer it all from Slack, the web app, the desktop (PostHog Desktop), or your own editor via the MCP.