Datadog vs LogRocket: pricing, quotas & features (2025)
Enterprise cloud monitoring — infra, APM, logs, RUM, security, LLM
vs. Session replay, product analytics, and error tracking for frontend apps
Data sourced from vendor documentation · Last updated May 2026
Summary
Datadog and LogRocket are both monitoring platforms, addressing the same core use case with different implementation philosophies and trade-offs. Both offer a free tier, making it easy to prototype without a credit card. Datadog's paid plans start at $15/month, lower than LogRocket's entry point at $69/month. Datadog has a broader documented feature set (19 vs 14 features). Budget-sensitive teams will find Datadog easier to justify early on. All pricing and quota data below is sourced from Datadog and LogRocket's official documentation — not generated by AI or estimated.
Datadog vs LogRocket: Comparativa de precios, cuotas y características (2025)
En esta comparativa analizamos Datadog y LogRocket lado a lado — incluyendo precios mensuales, límites del tier gratuito, características técnicas, cuotas de uso (almacenamiento, transferencia, usuarios activos mensuales) y los interfaces de desarrollo disponibles. Todos los datos proceden de la documentación oficial de cada proveedor, no de respuestas generadas por IA.
Datadog es una plataforma de la categoría monitoring — Enterprise cloud monitoring — infra, APM, logs, RUM, security, LLM. Ofrece 11 tiers de precio: Serverless Monitoring gratuito, Free gratuito, Logs Ingestion gratuito, Logs Standard Index gratuito. Su catálogo en Staxly documenta 19 características y 12 interfazes para desarrolladores.
LogRocket pertenece a la categoría monitoring — Session replay, product analytics, and error tracking for frontend apps. Ofrece 5 tiers de precio: Free gratuito, Team (low) desde $69/mes, Team (high) desde $139/mes, Professional desde $295/mes. Su catálogo documenta 14 características y 8 interfazes para desarrolladores.
A continuación encontrarás los tiers de precio completos de ambas plataformas, una matriz de cuotas del tier gratuito (transferencia, almacenamiento, MAU, llamadas a la API y otros límites), el listado completo de características y los interfaces (CLI, SDKs, REST, GraphQL, MCP) disponibles para integrar cada servicio.
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Pricing tiers
Datadog
LogRocket
Free-tier quotas head-to-head
Comparing free on Datadog vs free on LogRocket.
| Metric | Datadog | LogRocket |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
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.
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.
Developer interfaces
| Kind | Datadog | LogRocket |
|---|---|---|
| CLI | Datadog Agent | — |
| SDK | dd-trace (Node), dd-trace-dotnet, dd-trace-go, dd-trace-java, dd-trace-js (RUM), ddtrace (Python), ddtrace (Ruby) | LogRocket Android, LogRocket React, LogRocket iOS, logrocket (browser), logrocket-react-native |
| REST | Datadog REST API | LogRocket API |
| MCP | Datadog MCP | LogRocket MCP |
| OTHER | OpenTelemetry (OTLP), Webhooks | Webhooks |
Key takeaways
- Both Datadog and LogRocket offer a free tier — Datadog ("Serverless Monitoring") and LogRocket ("Free") — with no credit card required to start.
- The entry-level paid plan is $15/month for Datadog (Infra Pro) vs. $69/month for LogRocket (Team (low)).
- Datadog has a broader documented feature set (19 features) vs. LogRocket (14 features) in Staxly's catalog.
- Developer integrations differ: only Datadog offers CLI.
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