| Audyense Score | 29AS*Bajo | 72ASSólido |
| Posicionamiento | aqua cloud is an AI-driven test management system that aids development teams in organizing tests, scaling testing scenarios, and transitioning seamlessly from manual to automated | Logs, métricas y trazas unificados sobre el Elastic Stack |
| Plan gratuito | Sí | Sí |
| Implementación | Nube / SaaS | Nube / SaaS, Instalación local |
| Mejor encaje | Startup, PYME, Mediana empresa | PYME, Mediana empresa, Empresa |
| Planes de precio | - Free or entry planFree
- Higher tiersCustom pricing
| - Self-Managed BasicFree
- Cloud Hosted – Standard$99
- Cloud Hosted – Gold$114
- Cloud Hosted – Platinum$131
- Cloud Hosted – Enterprise$184
- ServerlessCustom pricing
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| Generative AI (AI Copilot) | SíDocumented in the independently researched profile. | — |
| Capture bug reporting | SíDocumented in the independently researched profile. | — |
| Test management | SíDocumented in the independently researched profile. | — |
| Requirements management tool | SíDocumented in the independently researched profile. | — |
| User Acceptance testing | SíDocumented in the independently researched profile. | — |
| Application testing | SíDocumented in the independently researched profile. | — |
| Built-in bug tracking | SíDocumented in the independently researched profile. | — |
| Automation management. | SíDocumented in the independently researched profile. | — |
| Alerting & on-call | — | ParcialKibana Alerting + connectors (PagerDuty, Opsgenie, Slack) trigger notifications, but no native on-call scheduling/rotation engine |
| Application performance monitoring (APM) | — | SíNative Elastic APM, OTel-native traces/metrics ingestion |
| CI/CD pipelines | — | NoNo native CI/CD pipeline product; can ingest CI/CD system logs via integrations |
| Distributed tracing | — | SíElastic APM and OTel-native distributed tracing are core capabilities |
| Incident management | — | ParcialKibana Cases + SLOs + alerting exist, but no full incident-command/postmortem workflow |
| Infrastructure monitoring | — | SíCore infrastructure monitoring product line with Kubernetes/cloud dashboards |
| Log management | — | SíFoundational strength — the 'L' in ELK |
| Self-hosting / on-prem | — | SíFully supported self-managed deployment, including a free-forever Basic license |
| AI features | — | SíML anomaly detection, Elastic AI Assistant, AI-assisted pipelines, Agent Builder |
| Public API | — | SíElasticsearch and Kibana REST APIs are core and publicly documented |
| Integraciones verificadas | — | 15+ |
| Valoración agregada | 9.5 · No reviews yet | 4.2 · 81 reviews |
| Integraciones | — | AWSMicrosoft AzureGoogle CloudKubernetesApache KafkaPrometheus+9 más |
| Seguridad y cumplimiento | — | SOC 2ISO 27001PCI DSSHIPAA+2 más |
| Pros | - +Independent review documents a concrete business workflow
- +Documented capability: Generative AI (AI Copilot)
- +Documented capability: Capture bug reporting
- +Documented capability: Test management
- +Documented capability: Requirements management tool
| - +Rendimiento de búsqueda/consulta muy rápido con grandes volúmenes de datos
- +Fuerte centralización de datos que unifica logs, métricas y trazas
- +Alto rendimiento y fiabilidad a gran escala
- +Linaje de código abierto, comunidad activa y potentes visualizaciones de Kibana
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| Contras | - −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
| - −Curva de aprendizaje pronunciada: la crítica citada con más frecuencia en las reseñas
- −Lenguaje de consultas propietario/complejo, descrito como difícil de dominar
- −Intensivo en recursos y operativamente pesado de ejecutar y afinar
- −Preocupaciones de costo en torno a las funciones premium (de pago)
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