Why Session Replay Matters for Engineering Teams
A user reports: "the checkout button didn't work." Your logs show no errors. Your analytics show the button was clicked. What happened?
Session replay answers that question by recording the user's screen (as a reconstructed DOM, not a video) and letting you watch exactly what they saw. You see the page load, the elements they interacted with, the error that flashed for 200ms, and the frustrated rage-clicks that followed. It turns a vague bug report into a reproducible scenario.
The three leading tools approach session replay from different angles. Sentry is error-monitoring-first: replay is attached to error events so you can see what the user was doing when the bug occurred. LogRocket combines replay with product analytics and performance monitoring. FullStory targets enterprise product and UX teams with the deepest behavioral analytics.
Your choice depends on whether you primarily need replay for debugging (Sentry), for product analytics (FullStory), or for both (LogRocket). If you are building your broader monitoring stack, our app monitoring guide covers the full observability picture.
Sentry: Error-First Session Replay
Sentry added session replay in 2023, extending their core error monitoring platform. The replay is tightly integrated with Sentry's error tracking: when an error occurs, you get the full session replay showing the 60 seconds before and after the error.
Key Features
- Error-linked replays: Every error event includes a link to the associated session replay. Click from the error stack trace directly into the replay at the exact moment the error occurred.
- DOM reconstruction: Replays are built from DOM mutations (using rrweb), not video captures. Low bandwidth (5 to 50KB per minute of replay) and no PII in screenshots by default.
- Performance monitoring: Replay includes Web Vitals overlay (LCP, FID, CLS) so you can see performance issues as the user experienced them.
- Privacy controls: Mask all text by default, block specific elements, and strip sensitive form fields. Privacy-safe replay out of the box.
Pricing
Developer (free): 50 replays/month. Team ($26/month): 500 replays/month. Business ($80/month): 6,250 replays/month. Additional replays at $0.002 to $0.008 per replay depending on volume. Note: this is on top of Sentry's error monitoring pricing.
Best For
Engineering teams that already use Sentry for error monitoring and want replay context for debugging. The error-to-replay workflow is the tightest of any tool. If your primary use case is "see what happened when this bug occurred," Sentry is the best choice.
LogRocket: The Middle Ground
LogRocket positions itself between pure error monitoring and pure product analytics. It combines session replay with frontend performance monitoring, error tracking, and basic product analytics in a single platform.
Key Features
- Full session recording: Records every session (configurable sampling), not just sessions with errors. Watch complete user journeys from landing to conversion or abandonment.
- Network request inspection: Replay includes all network requests with headers, payloads, and response times. See the exact API responses the user received during their session.
- Redux/Vuex/Zustand integration: Log state management actions alongside the replay. See state changes in real-time as the user interacts with the app.
- Console and error logging: All console logs, JavaScript errors, and unhandled promise rejections are captured and time-synced with the replay.
- Frustration detection: Automatically identifies rage clicks, dead clicks, and error loops. Surfaces the most frustrated user sessions for review.
Pricing
Free: 1,000 sessions/month. Team ($99/month): 10,000 sessions/month. Professional ($295/month): 25,000 sessions/month. Enterprise: custom. Sessions are the billing unit, and "session" means a continuous user visit (not a replay). Every session is recorded and available for replay.
Best For
Full-stack teams that want replay, error tracking, and basic product analytics in one tool. LogRocket is the best choice when you do not want to maintain separate tools for monitoring and analytics but need deeper replay capabilities than Sentry offers.
FullStory: Enterprise Product Analytics
FullStory started as a session replay tool and evolved into an enterprise product analytics platform. Their focus is helping product and UX teams understand user behavior at scale, not just debugging individual errors.
Key Features
- Omnisearch: Search for any user interaction across all sessions: "show me all users who clicked the pricing page but did not start a trial." The search indexes every click, scroll, and page view without requiring manual event instrumentation.
- Journey mapping: Automatically map common user paths through your product. Identify where users diverge from the expected flow and watch replays of the divergent sessions.
- Heatmaps and click maps: Aggregate click data across thousands of sessions. See which elements get the most attention and which are ignored.
- Conversion funnels: Define multi-step funnels and watch replays of users who dropped off at each step. This bridges quantitative analytics (10% drop-off at step 3) with qualitative understanding (the error message confused them).
- DX data export: Export event data to your data warehouse (Snowflake, BigQuery) for custom analysis.
Pricing
FullStory does not publish pricing. Enterprise plans start around $1,000 to $3,000/month for 10,000 monthly sessions. Pricing scales with sessions and data retention. They offer a free trial but no free tier.
Best For
Enterprise product teams, UX research teams, and organizations that want to understand user behavior patterns across thousands of sessions. FullStory is overkill for bug debugging but unmatched for product analytics and user experience optimization.
Privacy, Compliance, and Performance Impact
Privacy
All three tools reconstruct sessions from DOM mutations, not screen recordings. This means they can selectively mask or exclude sensitive content. Sentry masks all text by default (you opt-in to showing text). LogRocket masks nothing by default but provides CSS-class-based masking. FullStory uses their own classification system to auto-detect and exclude sensitive fields (credit cards, SSNs, passwords).
For GDPR compliance: all three support data residency in the EU, consent management (only record sessions where the user has consented), and data deletion APIs. For HIPAA: LogRocket and FullStory offer BAA (Business Associate Agreement) on enterprise plans. Sentry offers HIPAA-compliant plans but replay data handling requires careful configuration.
Performance Impact
Session replay adds a JavaScript bundle and CPU overhead to your application. Sentry's replay SDK adds approximately 50KB gzipped to your bundle. LogRocket adds approximately 80KB. FullStory adds approximately 60KB. CPU impact is 1 to 3% on average for DOM mutation recording. For performance-sensitive applications, all three support sampling (record only 10% or 50% of sessions) to reduce overhead.
Data Volume and Retention
Session replays consume storage. A 5-minute session generates 500KB to 5MB of replay data depending on DOM complexity. At 10,000 sessions per month, that is 5 to 50GB of stored replay data. Sentry retains replays for 90 days. LogRocket retains for 30 days on Team, 90 days on Professional. FullStory retains based on your plan (typically 3 to 12 months). If you need to reference replays for longer, integrate with your monitoring stack as discussed in our observability comparison guide.
Integration with Your Existing Stack
Sentry Integrations
Native: GitHub, GitLab, Jira, Slack, PagerDuty, Microsoft Teams. Replay is tightly coupled with Sentry's error monitoring, performance monitoring, and profiling. If you use Sentry for errors, adding replay is a configuration change (not a new tool). No native product analytics integration.
LogRocket Integrations
Native: Sentry (link LogRocket sessions to Sentry errors), Segment, Datadog, Jira, Slack, Intercom, and Zendesk. The Segment integration lets you tag sessions with user properties from your CDP. The Intercom integration links customer support conversations to session replays, which is invaluable for support teams troubleshooting user-reported issues.
FullStory Integrations
Native: Segment, Amplitude, Mixpanel, Salesforce, Zendesk, Jira, Slack, Snowflake, BigQuery. FullStory's data export to warehouses enables custom analytics that combine session behavior data with your business data. The Salesforce integration shows session replays in sales deal records, helping sales teams understand prospect behavior.
Self-Hosted Alternatives
If privacy requirements prevent sending replay data to third-party services, consider: OpenReplay (open-source, self-hosted session replay), PostHog (open-source product analytics with replay), or Highlight.io (open-source monitoring with replay). These self-hosted options have smaller feature sets but give you complete data control.
Our Recommendation and Next Steps
Here is the decision framework:
- Choose Sentry Replay if you already use Sentry for error monitoring and want error-contextualized replays, your primary use case is debugging (not product analytics), you want the most privacy-safe defaults (text masking by default), or budget is a concern (Sentry replay is cheaper than LogRocket or FullStory).
- Choose LogRocket if you want replay, error tracking, and basic product analytics in one platform, you need network request inspection for API debugging, you use React with state management libraries (Redux, Zustand) and want state-synced replays, or your team spans engineering and product and both need replay access.
- Choose FullStory if product analytics and user behavior understanding is your primary goal, you have a UX research team that will use journey mapping and heatmaps, you need to search across sessions by user interaction (Omnisearch), or you are an enterprise willing to invest $1K+/month for the deepest analytics.
For most startups: add Sentry Replay to your existing Sentry setup. It is the cheapest path to session replay with the best debugging workflow. If your product team also needs behavioral analytics, add LogRocket or PostHog alongside Sentry rather than replacing it.
Need help setting up session replay or building your monitoring stack? Book a free strategy call and we will help you choose the right tools and configure them for your privacy and performance requirements.
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