LogRocket vs Datadog

LogRocket

Datadog

LogRocket · 14 features

• Cohort Analysis — Group users by behavior. Professional+.
• Custom Events — track() events attached to sessions.
• Frustration Signals — Auto-detect rage clicks, dead clicks, error clicks, u-turns.
• Funnels — Multi-step conversion funnels tied to session replays.
• Galileo AI — AI-summarized issues + suggested fixes. Professional+.
• Heatmaps — Click + scroll + rage click heatmaps. Professional+.
• JavaScript Error Reporting — Stack traces, source maps, user context, console + network before error.
• Network Monitoring — All XHR/fetch calls with req/res payload. PII redacted.
• Performance Monitoring — Core Web Vitals + custom metrics per session.
• Privacy Controls — Auto input sanitization + custom privacy rules.
• Product Analytics — Funnels, retention, conversion rates (Professional+).
• Session Replay — Pixel-perfect recordings with DOM + console + network + state.
• Source Map Support — Symbolicated stack traces via upload on build.
• User Identification — identify() to link sessions to user IDs + traits.

Datadog · 19 features

• APM — Distributed tracing + service catalog + code hotspots.
• Application Security — Runtime attack detection, threat intelligence, IAST.
• CI Visibility — Test + pipeline performance analytics.
• Cloud SIEM — Security events correlation, detection rules, audit trails.
• Continuous Profiler — Always-on CPU, memory, lock profiling in production.
• Dashboards — Pre-built + custom dashboards.
• Database Monitoring — Slow query detection for Postgres, MySQL, Mongo, Oracle, SQL Server.
• Incident Management — Built-in incident response with postmortems.
• Infrastructure Monitoring — Host, container, k8s metrics. 700+ integrations. Live process + container maps.
• LLM Observability — OpenAI, Anthropic, etc. trace + cost + prompt eval.
• Log Management — Ingest any logs, structured or raw. Pipelines, parsing, archives to S3.
• Monitors — Anomaly, forecast, outlier, composite monitors.
• Network Performance Monitoring — Packet-level analysis, flow monitoring.
• Notebooks — Runbook-style dashboards with queries + docs.
• Real User Monitoring — Frontend performance, JS errors, user sessions, Core Web Vitals.
• Serverless Monitoring — AWS Lambda, Google Cloud Functions, Azure Functions observability.
• Service Catalog — Service inventory with ownership + documentation.
• Synthetics — Synthetic HTTP + browser tests, API tests, mobile tests.
• Workflow Automation — No-code workflows triggered by events.