Who is LogRocket best for?

LogRocket is built for Frontend and full-stack engineers debugging production issues, Product managers and product designers optimizing conversion and user flows, Customer support and customer success teams resolving user-reported issues, QA engineers reproducing and validating bugs. Common use cases include Reproducing and diagnosing user-reported bugs without manual back-and-forth; Proactively identifying and prioritizing high-impact UX and technical issues before users report them; Debugging JavaScript errors and network failures in production with full session context.

How is LogRocket priced?

LogRocket offers four tiers. Free forever: $0/month, 1,000 sessions/month, 1-month data retention, up to 3 seats. Team: starting at $69/month (10,000 sessions) to $139/month (25,000 sessions), monthly commitment, 14-day trial, includes pixel-perfect session replay and JavaScript error reporting. Professional: starting at $295/month, annual commitment, includes AI features, MCP, product analytics, and a startup plan option for companies with fewer than 20 employees. Enterprise: custom pricing for 1M+ sessions/month, includes self-hosted deployment, custom data retention, uptime SLA, BAA, and a dedicated customer success manager. Add-ons include Conditional Recording and in-app Feedback. Annual billing discounts are available on Professional and Enterprise tiers.

What are the alternatives to LogRocket?

Common Error Tracking & Crash Reporting alternatives to LogRocket include Sentry, Rollbar, Bugsnag, Raygun, TrackJS. See the full comparison hub at /verticals/error-tracking-crash-reporting/compare.

What do users praise about LogRocket?

Users frequently praise: Session replay accuracy and fidelity; Easy and fast setup (single SDK/script tag); Deep debugging context: console logs, network requests, and errors in one view; Galileo AI for automatic issue prioritization; Reduces back-and-forth with users to reproduce bugs; Strong integrations with Jira, Slack, Sentry, and Zendesk; Responsive and helpful customer support; Unified platform for engineering and product teams.

What are common complaints about LogRocket?

Frequently cited limitations: Pricing scales steeply with session volume; Session replay loading can be slow or laggy on complex pages; Search and filtering UI is cumbersome with filters scattered across multiple places; CSS and custom font rendering occasionally incomplete or inaccurate in replays; Sessions sometimes skip key moments; Feature breadth can overwhelm new users; No native backend/server-side error tracking.

When was LogRocket founded and where?

LogRocket was founded in 2016, headquartered in Boston, MA, USA by Ben Edelstein, Matthew Arbesfeld.

How big is LogRocket?

LogRocket reports 201-500 employees, 3,000+ customers.

AI visibility report

LogRocket ranks #6 in Error Tracking & Crash Reporting AI search.

Outside the top three on 23 of the 25 prompts buyers actually ask.

Sentry is cited on 22 of those losses.

25 prompts

6 platforms

Updated Aug 14, 2026 - refreshed weekly

Track LogRocket daily

Free trial. Setup comes pre-filled for LogRocket.

Track LogRocket across these prompts daily.

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9percent

Presence Rate

Low presence

#6 among 11 vendors · still absent from 90.7% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.44

Sentiment

-1.00.0+1.0

Positive

#6of 11

Peer Ranking

#1#11

Mid-packin Error Tracking & Crash Reporting

Key Metrics

Presence Rate

9.3%

Share of Voice

3.1%

Avg Position

#31.8

Docs Presence

1.3%

Blog Presence

2.0%

Brand Mentions

12.7%

Platform Breakdown

Grok

52%13/25 prompts

ChatGPT

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

LogRocket is a Boston-based B2B SaaS platform founded in 2016 by Ben Edelstein and Matthew Arbesfeld. It combines session replay, AI-powered error tracking, product analytics, UX analytics, and frontend performance monitoring into a unified interface serving over 3,000 customers. Its flagship Galileo AI layer automatically surfaces and prioritizes user-impacting issues from across recorded sessions, reducing manual triage for engineering and product teams. LogRocket supports web and native mobile (iOS and Android) applications and can be deployed as SaaS or self-hosted. The platform targets software teams that want a single source of truth connecting qualitative session context to quantitative product and error data, competing in the digital experience analytics and error tracking markets. It has raised $55M in funding, most recently a $25M Series C in June 2022.

Reviews

4.6/5G2·2337+4.6/5Gartner Peer Insights·53+

Praised

Session replay accuracy and fidelity
Easy and fast setup (single SDK/script tag)
Deep debugging context: console logs, network requests, and errors in one view
Galileo AI for automatic issue prioritization
Reduces back-and-forth with users to reproduce bugs
Strong integrations with Jira, Slack, Sentry, and Zendesk
Responsive and helpful customer support
Unified platform for engineering and product teams

Criticized

LogRocket earns strong satisfaction scores across major review platforms, with a 4.6/5 on G2 from over 2,300 verified reviews and a 4.6/5 on Gartner Peer Insights from 53 reviews. Users consistently praise session replay as the standout capability, describing it as indispensable for bug reproduction and reducing back-and-forth with customers. Galileo AI is highlighted as a meaningful time saver for issue triage. Ease of setup and integration with tools like Jira, Slack, and Sentry are frequently cited as strengths. Common criticisms include pricing that scales steeply with session volume, occasional slowness in replay loading on complex pages, and a search/filtering UI that some find cumbersome. CSS rendering fidelity is noted as an occasional gap.

Prompt	Bing Copilot	Gemini Search	Perplexity	ChatGPT	Google AI Mode	Grok
Capability3/5 cited (60%)
Which error tracking platforms can correlate a frontend JS error with the backend API call that caused it across a distributed trace?	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited
Which error tracking platforms handle error grouping best for flaky or non-deterministic errors with slightly different stack traces each time?

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos	Sentiment
1	Sentry	37.3%	39.2%	25.3%	10.7%	88.0%	#23.9	+0.48
2	Rollbar	32.7%	23.3%	20.0%	16.0%	64.7%	#32.4	+0.47
3	Bugsnag	22.0%	22.1%	21.3%	0.7%	57.3%	#34.7	+0.49
4	Raygun	14.0%	5.1%	1.3%	13.3%	18.7%	#30.3	+0.44
5	TrackJS	10.7%	4.0%	0.7%	2.0%	3.3%	#30.5	+0.42
6	LogRocket	9.3%	3.1%	1.3%	2.0%	12.7%	#31.8	+0.44
7	Highlight.io	2.7%	2.0%	1.3%	0.0%	5.3%	#47.7	+0.42
8	Embrace	1.3%	0.6%	0.0%	1.3%	0.0%	#16.7	+0.68
9	Airbrake	1.3%	0.4%	0.7%	0.0%	9.3%	#52.5	+0.30
10	Jam.dev	0.7%	0.2%	0.0%	0.7%	0.0%	#1.0	+0.00
11	Luciq	0.0%	0.0%	0.0%	0.0%	0.0%	—	—

Developer Experience2/5 cited (40%)
What error tracking tools do teams typically use to manage the full workflow from alert to assignment to resolution in one place?	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited

Integrations & Ecosystem1/5 cited (20%)
Which error tracking platforms offer the best webhook and event streaming support for building internal tooling on top of error data?	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Your brand and a competitor were cited

Performance & Reliability3/5 cited (60%)
Which error tracking platforms handle error storms gracefully when a bad deploy suddenly generates millions of events per minute?	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Your brand and a competitor were cited