vs
FullStory vs LogRocket
FullStory and LogRocket are both Web/App/Product Analytics tools. Here is how they compare on pricing, free plans, AI integrations and platforms, and when each is the better fit.
Side by side
| Feature | FullStory | LogRocket |
|---|---|---|
| Category | Web/App/Product Analytics | Web/App/Product Analytics |
| Pricing | Free tier available / Quote-based | Custom based on session volume |
| Free option | Yes | Not listed |
| AI integrations | MCP server, Claude, ChatGPT, Codex, Cursor, Gemini | MCP server |
| Platforms | Android, iOS | — |
| Links | FullStory listingVisit website (opens in a new tab) | LogRocket listingVisit website (opens in a new tab) |
Which to choose
Choose FullStory if
- want a free tier that includes 30,000 monthly sessions and 12 months of data retention
- need automatic interaction capture without manual event tagging
- want to trigger in-app product tours, feedback prompts, and NPS surveys
- use external AI tools via connectors for Claude, ChatGPT, Gemini, Cursor, and Codex
Choose LogRocket if
- need frontend error tracking with full stack traces and source map support
- want session replays that include console logs, DOM state, and network traffic for step-by-step debugging
- need frontend performance monitoring to correlate load times with user experience
- want AI-powered issue triaging to detect severity and summarise complex errors
Verdict
FullStory suits product, engineering, and support teams that want automated interaction capture alongside in-app engagement tools like guides and surveys. It offers a generous free tier and connects to multiple external AI assistants, including Claude, ChatGPT, and Cursor. The main trade-off is that paid plans require a custom quote, and complex apps need careful privacy setup.
LogRocket is built for teams that need deep technical debugging alongside product analytics. It pairs session replay with frontend performance monitoring, network logs, and client-side error tracking with stack traces. However, it requires developer resources for advanced SDK setup, and usage-based pricing can grow expensive for high-traffic applications.
FAQ
- How do FullStory and LogRocket compare on pricing and free plans?
FullStory offers a free tier with 30,000 monthly sessions and 12 months of data retention, while its Business, Advanced, and Enterprise plans are quote-based. LogRocket uses custom pricing based on captured session volume, and its listing does not mention a free option.
- Which tool is better for technical debugging and error tracking?
LogRocket is geared towards technical debugging, capturing console logs, network requests, client-side JavaScript errors, stack traces, and source maps. FullStory helps teams troubleshoot technical issues through session replay and automatic event capture, but focuses more broadly on digital experience analytics and in-app surveys.
- How do FullStory and LogRocket integrate with AI tools?
Both platforms offer a Model Context Protocol (MCP) server to expose session data to AI tools. FullStory also provides dedicated integrations for Claude, ChatGPT, Gemini, Cursor, and Codex. In addition, both have built-in AI features: FullStory uses StoryAI for anomaly detection, and LogRocket uses Galileo AI to triage issues and summarise sessions.
- Do both tools support product analytics like funnels and heatmaps?
Yes, both platforms combine qualitative session replays with quantitative product analytics. FullStory provides conversion funnels, journey mapping, heatmaps, and user segmentation, while LogRocket offers conversion funnels, path analysis charts, clickmaps, and heatmaps.