From replays to full-stack visibility: Multiplayer vs. LogRocket
LogRocket captures frontend bugs. Multiplayer correlates the entire stack and powers all your workflows, from capture to AI debugging and development.
How is Multiplayer different?
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Full stack visibility, not just frontend data
Multiplayer provides full stack session recordings that correlate frontend and backend data out of the box.
- LogRocket is designed to capture and analyze frontend, end-user behavior. By default, it focuses on DOM events, console logs, and network requests. You can integrate it with select observability tools to pull in sampled backend data, but that requires extra configuration and doesn’t give you a full-stack view out of the box.
- Multiplayer provides full stack session recordings by default. Each replay correlates frontend screens, user actions, backend traces, logs, request/response payloads, headers, and user feedback into a single timeline. From day one, you get true end-to-end visibility, seamlessly integrated with whichever observability stack you already use.
Session recordings for all engineering workflows, not just debugging
Multiplayer session replays support multiple install options, recording modes, and use cases across the entire software development lifecycle.
- LogRocket is optimized for frontend debugging and product analytics. Its continuous recording mode captures user sessions only via SDK and funnels them into dashboards to be analyzed.
- Multiplayer session replays are versatile by design. Recording a session (on demand, continuous, or remote) is as simple as clicking a button in your in-app widget, browser extension or through an SDK. We cover frontend debugging (same as LogRocket), but go further:
- Developers get full-stack context for bugs and system behavior,
- QA can see exactly why tests failed,
- Customer Support can always resolve tickets with complete context,
- Everyone can annotate replays with sketches and requirements for new features.
With Multiplayer, a single investment powers many workflows out of the box, from debugging and testing to support and feature development.
Full circle debugging: capture, fix, validate, repeat
Multiplayer shows how the issue propagated through the system and enables end-to-end debugging workflows.
- LogRocket is primarily a frontend observation tool: it surfaces what the user saw and did before an error, and flags obvious UI problems. Further steps in the debugging workflow (root cause analysis, test validation, and fix / feature development) require clunky integrations, more tools, and context switching.
- Multiplayer enables end-to-end debugging workflows. Each session replay is not only full stack by default, but also supports rich annotations with sketches, comments, and notes. You can feed complete context into your AI coding tools to generate accurate fixes or features. Notebooks allow you to auto-generate test scripts to validate fixes and regression tests, while the system dashboard allows you to automatically track your architecture over time.
Designed for AI-native workflows
Multiplayer is built to give AI tools everything they need to be genuinely helpful to developers, without extra effort, rework, or guesswork.
- LogRocket has a native AI assistant that can summarize frontend session data and highlight issues. But without backend context, it can only operate on a slice of the problem.
- Multiplayer’s MCP server helps developers act: fixing bugs, validating changes, and building features faster, with fewer prompts.
Every session replay is pre-correlated and enriched with full stack data. This context can be fed directly into copilots and IDEs, enabling developers to ask AI to “fix this bug from this session” or “implement this feature based on these requirements” with minimal prompting.
Why use Multiplayer?
Accelerate root cause analysis
With full stack session recordings, Multiplayer lets you instantly see how bugs happened in a single timeline, reducing guesswork and saving time from grepping through log files or jumping between dashboards and screens.
Build new features faster
Multiplayer gives you instant clarity into specific system behaviours, end-to-end, and allows you to annotate session recordings with comments, sketches, and new feature requirements. You can build with confidence and share effortlessly with your team (or AI coding assistant!).
Power AI tools with the data they are missing
Multiplayer turns session recordings into structured, AI-ready data packets that contain full-stack, correlated, enriched and annotated data, so that your AI tools generate more accurate fixes, tests, and feature suggestions.LogRocket shows you what happened in the frontend.
Multiplayer shows you what happened in your full stack and gives you the tools to change it.
Core differences
| LogRocket | Multiplayer | |
|---|---|---|
| PRIMARY FOCUS | Frontend session replay and analytics | Software debugging, development, testing, customer support, documentation |
| SDLC | Production debugging | Across the lifecycle (full stack production debugging, development, testing, support, AI workflows) |
| AUDIENCE | PMs, Marketing, Customer Support and Frontend developers | Frontend and Backend developers, QA, Customer Support, PMs, end users and external partners |
| SESSION REPLAYS | Frontend data by default, with optional integration with observability tools to pull sampled backend data | Full stack out of the box. Frontend data is auto-correlated with backend data, with zero trace sampling |
| BACKEND | Support for select observability tools | Backend agnostic. You can use any observability stack to route backend data to Multiplayer |
| AI | Native AI tool to interrogate LogRocket frontend data and summarize content | MCP server to feed AI copilots and agents complete, auto-correlated and enriched context from each session. And native AI tool to quickly create notebooks. |
| TEAM COLLABORATION | Collaboratively view session recordings and manage product analytics | 😉 multi-player out of the box (e.g. collaboratively annotate session recordings) |
| DOCUMENTATION | List of issues and product analytics dashboards | A living system knowledge and interactive notebooks |
Core features
| Feature | LogRocket | Multiplayer |
|---|---|---|
| Session replay | 🟡 Only continuous recording and only through SDK | ✅ Multiple recording modes (on-demand, continuous, remote) and install options (SDK, in-app widget, browser extension) |
| Session recording annotation | 🔴 No. You can only integrate LogRocket session links with other editing tools | ✅ Sketches, comments, requirements and notes (on all plans) |
| Full stack correlated data | 🟡 Frontend data by default, with optional integration with observability tools to pull sampled backend data | ✅ Out of the box full stack, no trace sampling, and backend agnostic |
| Performance monitoring | 🟡 Only frontend | 🔴 No. Should we consider it? Let us Know. |
| Dashboards | ✔️ Frontend performance monitoring and product analytics | ✅ Real-time, auto-generated system map (e.g. components, dependencies, APIs, etc.) |
| Notebooks | 🔴 No | ✅ Interactive sandbox environments (for developing, testing and documenting APIs) |
| MCP server | 🔴 No | ✅ Full stack context, including annotated session recordings, for all AI workflows |
Session recording features
| Feature | LogRocket | Multiplayer |
|---|---|---|
| Installation method | 🟡 Only SDK | ✅ Browser extension, in-app widget, SDK |
| On-demand session recording | 🔴 No. Might be possible to narrow down session capture with conditions, on higher-tier plans | ✅ Full stack by default, no sampling or missing data. |
| Continuous session recording | 🟡 Only frontend data by default | ✅ A full-stack, rolling record of your recent activity. |
| Auto-generated session recordings for exceptions | 🟡 Only for frontend exceptions | ✅ Both frontend and backend exceptions and errors |
| Remote session recording | 🟡 Only frontend data by default | ✅ Silently turn on recordings to capture and reproduce user-reported issues that lack full stack detail |
| Web-based applications | ✔️ | ✅ |
| Mobile applications | ✔️ | 🟡 Coming soon |
| Session recording annotation (sketches, comments, plans) | 🔴 No. You can only integrate LogRocket session links with editing tools | ✅ Sketches, comments, requirements and notes |
| Masking sensitive user information | ✔️ | ✅ |
| Session recording searchability (filters, tags, search) | 🟡 Only frontend data | ✅ Searchable for full stack data (i.e. backend traces, logs, request/response and header content) |
| Session recording sharing | ✔️ | ✅ |
| Auto-generated, runnable test scripts from session recordings | 🔴 No | ✅️ Check out our notebooks |
Session recording data
| Feature | LogRocket | Multiplayer |
|---|---|---|
| User clicks + inputs | ️️✔️️ | ✅ |
| Page navigations + loads | ️️✔️️ | ✅ |
| Session metadata (device, runtime environment, browser, OS) | ️️✔️️ | ✅ |
| DOM events | ️️✔️️ | ✅ |
| Console messages | ️️✔️️ | ✅ |
| Network requests | ️️✔️️ | ✅ |
| HTML source code | ✔️ | ✅ |
| Backend errors | 🟡 Only when integrated with observability tools to pull sampled data | ✅ Included by default, no trace sampling, observability platform agnostic |
| Correlated distributed traces per session | 🟡 Only when integrated with observability tools to pull sampled data | ✅ Included by default, no trace sampling, observability platform agnostic |
| User feedback | 🔴 No. You can only integrate LogRocket session links with customer support tools | ✅ Included by default in each session replay |
| Request / response content per session | 🔴 Only with observability tool integration and only for the client request to the black box system (custom config needed) | ✅ Out of the box, including from inside the system components(e.g. going from one service to another) |
| Header content per session | 🔴 Only with observability tool integration and only for the client request to the black box system (custom config needed) | ✅ Out of the box, including from inside the system components(e.g. going from one service to another) |
| Service and dependency maps | 🔴 No | ✅ Full system map (components, dependencies, APIs, etc.) |
| Repositories | 🔴 No | ✅ |
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