| Audyense Score | 49AS*Bajo | 29AS*Bajo |
| Posicionamiento | Alternativa de código abierto a Datadog, nativa de OpenTelemetry | Smartbear BugSnag is an intuitive error monitoring system that tracks bugs and the performance of mobile, server, and web applications. |
| Plan gratuito | Sí | Sí |
| Implementación | Nube / SaaS, Instalación local, Híbrido | Nube / SaaS |
| Mejor encaje | Startup, PYME, Mediana empresa, Empresa | Startup, PYME, Mediana empresa |
| Planes de precio | - Community (Self-Hosted)Free
- Teams (Cloud)$49
- Enterprise$4,000
| - Free or entry planFree
- Higher tiersCustom pricing
|
| AI features | SíNative LLM/AI observability plus a Noz AI teammate and MCP server for agent-native observability. | — |
| Alerting & on-call | ParcialBuilt-in alerting with notification channels (Slack, PagerDuty, etc.); on-call scheduling relies on external integrations. | — |
| Application performance monitoring (APM) | SíFull APM with service maps, latency/error/throughput metrics. | — |
| CI/CD pipelines | NoNo native CI/CD pipeline monitoring; focus is runtime telemetry. | — |
| Distributed tracing | SíOpenTelemetry-native tracing with flamegraphs, waterfalls, and trace funnels. | — |
| Incident management | ParcialAlerting exists, but incident workflows depend on integrations rather than a native incident suite. | — |
| Infrastructure monitoring | SíHost and Kubernetes infrastructure monitoring. | — |
| Public API | SíProvides an API for programmatic access to observability data and configuration. | — |
| Self-hosting / on-prem | SíOpen-source Community Edition is fully self-hostable (MIT-licensed core; ClickHouse-backed). | — |
| LLM monitoring | Sí | — |
| APM & distributed tracing | Sí | — |
| Log management | Sí | — |
| Infrastructure monitoring (Kubernetes, Docker) | Sí | — |
| Full stack monitoring | — | SíDocumented in the independently researched profile. |
| Error inbox | — | SíDocumented in the independently researched profile. |
| End-to-end diagnostics | — | SíDocumented in the independently researched profile. |
| Two-way issue tracker | — | SíDocumented in the independently researched profile. |
| Application health measurement | — | SíDocumented in the independently researched profile. |
| Automatic notifications | — | SíDocumented in the independently researched profile. |
| SAML single sign-on | — | SíDocumented in the independently researched profile. |
| Advanced search & segmentation with custom filters | — | SíDocumented in the independently researched profile. |
| Automatic error prioritization | — | SíDocumented in the independently researched profile. |
| Advanced user roles and permissions | — | SíDocumented in the independently researched profile. |
| Features dashboard | — | SíDocumented in the independently researched profile. |
| Customizable error views and insights | — | SíDocumented in the independently researched profile. |
| User audit logs | — | SíDocumented in the independently researched profile. |
| Automatic user provisioning via SSO. | — | SíDocumented in the independently researched profile. |
| Integraciones verificadas | 90+ | — |
| Valoración agregada | — · No reviews yet | 9.7 · No reviews yet |
| Integraciones | AWSAzureGoogle CloudRedisPostgreSQLMongoDB+1 más | — |
| Seguridad y cumplimiento | SOC 2 Type IIHIPAA | — |
| Pros | - +Nativo de OpenTelemetry desde el primer día, por lo que la instrumentación utiliza estándares neutrales respecto al proveedor, sin agentes propietarios ni capas de traducción
- +Interfaz unificada única y almacén de datos columnar (ClickHouse) para logs, métricas y trazas
- +La Community Edition, totalmente de código abierto, puede autoalojarse para que la telemetría nunca salga de tu infraestructura
- +El precio de la nube basado en el uso (por GB) es más predecible y, por lo general, más económico que Datadog/New Relic
| - +Independent review documents a concrete business workflow
- +Documented capability: Full stack monitoring
- +Documented capability: Error inbox
- +Documented capability: End-to-end diagnostics
- +Documented capability: Two-way issue tracker
|
| Contras | - −El autoalojamiento conlleva una carga operativa real: los equipos deben aprovisionar y escalar clústeres de ClickHouse a medida que crece la ingesta
- −Retención de datos predeterminada más corta en comparación con algunas plataformas comerciales consolidadas
- −Ecosistema más joven y catálogo de integraciones/complementos más reducido que el de actores consolidados como Datadog
- −Los flujos de trabajo de gestión de incidentes y guardias dependen de integraciones externas en lugar de una suite totalmente nativa
| - −Pricing and usage limits should be checked against the exact plan
- −Implementation effort depends on the team's data and process maturity
- −Reported outcomes should be validated with the buyer's own data
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Audyense