# Best AIOps Tools and Platforms ## How Many AIOps Tools Products Does G2 Track? **Total Products under this Category:** 123 ### Category Stats (Aug 2026) - **Average Rating:** 4.5/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** ScienceLogic AI Platform (+4.87%) - Among all products in this category, ScienceLogic AI Platform recorded the largest rating increase compared to last month _Last updated: August 06, 2026_ ## How Does G2 Rank AIOps Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 12,700+ Authentic Reviews - 123+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## G2 Grid® for AIOps Tools ![G2 Grid® for AIOps Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/aiops-platforms/grids.png?focus%5B%5D=115948&focus%5B%5D=17351&focus%5B%5D=16222&focus%5B%5D=27540&focus%5B%5D=2056&focus%5B%5D=39741&focus%5B%5D=3824&focus%5B%5D=1211333) Highlighted products: ServiceNow IT Operations Management, OpManager Nexus, Atera, IBM Instana, Dynatrace, ScienceLogic AI Platform, Datadog, and Rakuten SixthSense Observability. Underlying data: [Grid® JSON](https://www.g2.com/categories/aiops-platforms/grids.json?focus%5B%5D=servicenow-it-operations-management&focus%5B%5D=opmanager-nexus&focus%5B%5D=atera&focus%5B%5D=ibm-instana&focus%5B%5D=dynatrace&focus%5B%5D=sciencelogic-ai-platform&focus%5B%5D=datadog&focus%5B%5D=rakuten-sixthsense-observability) **Sponsored** ### Datadog Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. The SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=2107&secure%5Bchosen_at%5D=2026-08-15T22%3A07%3A43Z&secure%5Bdisplayable_resource_id%5D=2107&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2107&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=3824&secure%5Bresource_id%5D=2107&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Faiops-platforms&secure%5Btoken%5D=8fc4375edd976297cd0d9fe8beda68da12c2dd8fe41308d5ccaabaa98b753c7f&secure%5Burl%5D=https%3A%2F%2Fwww.datadoghq.com%2Fdg%2Fmonitor%2Fdemo-request%2F%3Futm_source%3Dg2crowd%26utm_medium%3Dreview-site%26utm_campaign%3Ddg-coreplatform-multi-ww-en-coreplatform&secure%5Burl_type%5D=custom_url) ### [ServiceNow IT Operations Management](https://www.g2.com/es/products/servicenow-it-operations-management/reviews) ServiceNow IT Operations Management (ITOM) es una solución integral diseñada para mejorar la visibilidad, salud y optimización de la infraestructura de TI de una organización. Al integrar automatización avanzada e inteligencia artificial, ITOM permite una gestión proactiva de las operaciones de TI, reduciendo el tiempo de inactividad y mejorando la entrega de servicios. Características y Funcionalidad Clave: - Visibilidad de ITOM: Automatiza el descubrimiento de activos de TI en entornos locales, en la nube e híbridos, proporcionando una vista unificada de la infraestructura. El Mapeo de Servicios identifica dependencias entre componentes de TI, facilitando el análisis de impacto y la gestión de cambios. - Salud de ITOM: Consolida y correlaciona eventos de varias herramientas de monitoreo, permitiendo a los equipos de TI priorizar y responder a incidentes críticos de manera oportuna. La Inteligencia Operacional aprovecha la IA y el aprendizaje automático para detectar patrones y anomalías, permitiendo una resolución proactiva de problemas. - Optimización de ITOM: Gestiona los recursos de la nube de manera efectiva proporcionando visibilidad y control sobre entornos de nube pública, privada e híbrida. Automatiza el aprovisionamiento, la gestión del ciclo de vida y la optimización de costos de los recursos de TI que soportan servicios de aplicaciones. Valor Principal y Soluciones Proporcionadas: ServiceNow ITOM aborda los desafíos de gestionar entornos de TI complejos ofreciendo una plataforma unificada que mejora la eficiencia operativa y la fiabilidad del servicio. Permite a las organizaciones pasar de operaciones reactivas a proactivas, minimizando el riesgo de interrupciones y optimizando la utilización de recursos. Al automatizar tareas rutinarias y proporcionar información en tiempo real, ITOM empodera a los equipos de TI para centrarse en iniciativas estratégicas, impulsando en última instancia el crecimiento y la resiliencia del negocio. **Average Rating:** 4.4/5.0 **Total Reviews:** 456 #### How Do G2 Users Rate ServiceNow IT Operations Management? - **Monitoreo de Sistemas:** 9.4/10 (Category avg: 9.0/10) - **Inteligencia Artificial:** 8.8/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 8.8/10 (Category avg: 9.1/10) - **Informes:** 9.1/10 (Category avg: 8.8/10) #### Who Is the Company Behind ServiceNow IT Operations Management? - **Vendedor:** [ServiceNow](https://www.g2.com/es/sellers/servicenow) - **Sitio web de la empresa:** www.servicenow.com - **Año de fundación:** 2004 - **Ubicación de la sede:** Santa Clara, CA - **Twitter:** @servicenow 55,548 seguidores en Twitter - **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f146dd2da6255ae21db2f89043b268912043fe250660dfee40ba3c0574bb1ba&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F29352%2F&secure%5Burl_type%5D=linkedin_company_website) 35,081 empleados en LinkedIn® #### Who Uses This Product? - **Top Industries:** Tecnología de la información y servicios, Servicios Financieros - **Company Size:** 50% Large, 20% Medium #### What Do G2 Reviewers Say About ServiceNow IT Operations Management? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios valoran la **facilidad de uso** en la Gestión de Operaciones de TI de ServiceNow, mejorando la eficiencia del soporte al cliente y la resolución de casos. - Los usuarios valoran la **visibilidad** que ofrece ServiceNow IT Operations Management, mejorando la transparencia y aumentando la eficiencia organizacional. - Los usuarios valoran la **visibilidad mejorada** en la infraestructura y las aplicaciones proporcionada por ServiceNow IT Operations Management. - Los usuarios aprecian la **automatización inteligente** de la Gestión de Operaciones de TI de ServiceNow, mejorando la eficiencia y el control en las operaciones de TI. - Los usuarios aprecian la **flexibilidad de primera clase** de ServiceNow ITOM, permitiendo una resolución de casos y gestión de documentación sin problemas. ##### Cons - Los usuarios a menudo luchan con la **empinada curva de aprendizaje** de la Gestión de Operaciones de TI de ServiceNow, lo que limita la utilización y configuración efectivas. - Los usuarios encuentran la **complejidad** de la Gestión de Operaciones de TI de ServiceNow desafiante, especialmente durante la configuración y la exploración de funciones. - Los usuarios encuentran la **complejidad de configuración** de ServiceNow IT Operations Management desafiante, requiriendo una planificación cuidadosa y una administración hábil. - Los usuarios señalan que ServiceNow IT Operations Management tiene un **alto costo** que puede afectar significativamente a las organizaciones medianas. - Los usuarios luchan con la **empinada curva de aprendizaje** de la Gestión de Operaciones de TI de ServiceNow, encontrándola compleja y que requiere mucho tiempo para dominar. #### What Are Recent G2 Reviews of ServiceNow IT Operations Management? **["ServiceNow ITOM: Impulsando la Visibilidad, la Automatización y las Operaciones Potenciadas por IA"](https://www.g2.com/es/survey_responses/servicenow-it-operations-management-review-12961465)** **Rating:** 4.5/5.0 stars _— Shubhangi G._ [Read full review](https://www.g2.com/es/survey_responses/servicenow-it-operations-management-review-12961465) **["ServiceNow ITOM: Transformando las operaciones de TI con inteligencia impulsada por IA"](https://www.g2.com/es/survey_responses/servicenow-it-operations-management-review-12955580)** **Rating:** 4.5/5.0 stars _— Ganesh G._ [Read full review](https://www.g2.com/es/survey_responses/servicenow-it-operations-management-review-12955580) #### What Are G2 Users Discussing About ServiceNow IT Operations Management? - [What is operations ServiceNow?](https://www.g2.com/es/discussions/what-is-operations-servicenow) - [WHAT IS IT operations management software?](https://www.g2.com/es/discussions/what-is-it-operations-management-software) - [What are the key IT services provided by ServiceNow?](https://www.g2.com/es/discussions/what-are-the-key-it-services-provided-by-servicenow) - [Which functions are included in IT Operations Management?](https://www.g2.com/es/discussions/which-functions-are-included-in-it-operations-management) ### [Atera](https://www.g2.com/es/products/atera/reviews) Atera está definiendo la categoría de TI Autónoma, donde los agentes de IA resuelven incidentes técnicos de principio a fin, sin un técnico en el proceso. La plataforma de gestión de TI nativa de IA de Atera consolida RMM, mesa de ayuda, gestión de tickets, informes avanzados y automatización, empoderando a los equipos de TI y MSPs para gestionar y proteger la infraestructura, automatizar tareas y mejorar la calidad del servicio al reducir el tiempo de inactividad y mejorar los SLA. El agente autónomo de IA de Atera, Robin, detecta, diagnostica, remedia y verifica incidentes tomando acción directamente en dispositivos, servidores, redes y mainframes, resolviendo incidentes de Nivel 1 y complejos de Nivel 2 en su totalidad. 1) Resolución sin espera. Robin no solo sugiere o asiste, actúa y resuelve, por sí solo, al instante. 2) Cobertura continua, día y noche. Robin extiende el alcance de tu equipo las 24 horas, resolviendo problemas a las 2am con la misma fiabilidad que a las 2pm, por lo que tu equipo no es la única línea de defensa cuando se trata de combatir el tiempo de inactividad. 3) Un técnico de TI personal para cada empleado. Un agente de IA inteligente y consciente del contexto que entiende tu entorno, se adapta a cada usuario y responde al instante. Construido sobre una arquitectura patentada, Robin opera como un sistema de acción dentro de tu entorno empresarial existente, adhiriéndose a los más altos estándares de seguridad y cumplimiento de nivel empresarial. Está gobernado por límites configurables, un registro completo de auditoría y flujos de trabajo de aprobación, por lo que la autonomía nunca viene a costa del control. Más de 13,000 organizaciones en más de 120 países confían en Atera para mantener a su personal trabajando, sin interrupciones. Descubre cómo Atera puede ayudarte a lograr una eficiencia organizacional sin igual en www.atera.com. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,228 #### How Do G2 Users Rate Atera? - **Monitoreo de Sistemas:** 8.8/10 (Category avg: 9.0/10) - **Inteligencia Artificial:** 9.0/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 9.2/10 (Category avg: 9.1/10) - **Informes:** 5.1/10 (Category avg: 8.8/10) #### Who Is the Company Behind Atera? - **Vendedor:** [Atera](https://www.g2.com/es/sellers/atera) - **Sitio web de la empresa:** www.atera.com - **Año de fundación:** 2011 - **Ubicación de la sede:** Tel Aviv - **Twitter:** @AteraCloud 1,675 seguidores en Twitter - **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d38cf3be9c748c5d823f0616da1e9a35094eec1b19735765c7c4c229a7d79702&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F98739%2F&secure%5Burl_type%5D=linkedin_company_website) 416 empleados en LinkedIn® #### Who Uses This Product? - **Who Uses This:** Propietario, Gerente de TI - **Top Industries:** Tecnología de la información y servicios, Seguridad de Redes y Computadoras - **Company Size:** 55% Small, 31% Medium #### What Do G2 Reviewers Say About Atera? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios encuentran que Atera es increíblemente **fácil de usar** , simplificando la gestión de estaciones de trabajo y servidores en un solo lugar. - Los usuarios valoran las **poderosas herramientas de automatización** de Atera, que permiten una gestión eficiente de estaciones de trabajo y servidores a través de scripts y acceso remoto. - Los usuarios aprecian el **panel de control todo en uno** de Atera, que agiliza su flujo de trabajo y mejora drásticamente la productividad. - Los usuarios valoran la **eficiencia** de Atera, destacando que su automatización y facilidad de uso agilizan la gestión de sus dispositivos. - Los usuarios aprecian el **monitoreo proactivo** de Atera, mejorando la eficiencia con un panel todo en uno sin fisuras para un mejor flujo de trabajo. ##### Cons - Los usuarios notan **características faltantes** como listas de verificación y contexto de alerta insuficiente, complicando su experiencia general con Atera. - Los usuarios encuentran las **funciones limitadas** de Atera restrictivas, especialmente en la aplicación móvil y las opciones de facturación. - Los usuarios informan que **se necesita mejora** en los cambios de interfaz de Atera y la fiabilidad del acceso remoto, lo que afecta los flujos de trabajo. - Los usuarios señalan que **los tiempos de carga de los informes y la personalización limitada** pueden obstaculizar la eficiencia y la usabilidad dentro de Atera. - Los usuarios destacan **problemas de características** con Atera, incluyendo incrementos de facturación inconvenientes y cambios de interfaz disruptivos. #### What Are Recent G2 Reviews of Atera? **["RMM fácil de usar con fuerte parcheo, scripting y una vista central de dispositivos"](https://www.g2.com/es/survey_responses/atera-review-13223481)** **Rating:** 4.0/5.0 stars _— Kyle R._ [Read full review](https://www.g2.com/es/survey_responses/atera-review-13223481) **["Monitoreo estable, limpio y fácil con IA incorporada"](https://www.g2.com/es/survey_responses/atera-review-13213152)** **Rating:** 4.5/5.0 stars _— Dieter S._ [Read full review](https://www.g2.com/es/survey_responses/atera-review-13213152) #### What Are G2 Users Discussing About Atera? - [¿Para qué se utiliza Atera?](https://www.g2.com/es/discussions/what-is-atera-used-for) - 1 comment - [¿Cuál es la mejor herramienta RMM?](https://www.g2.com/es/discussions/what-is-the-best-rmm-tool) - 1 comment - [¿Es seguro atera?](https://www.g2.com/es/discussions/is-atera-safe) - 2 comments - [¿Qué es atera RMM?](https://www.g2.com/es/discussions/what-is-atera-rmm) - 1 comment - [¿Qué es el software Atera?](https://www.g2.com/es/discussions/what-is-atera-software) - 1 comment ### [OpManager Nexus](https://www.g2.com/es/products/opmanager-nexus/reviews) OpManager Nexus es una plataforma de observabilidad de pila completa que ayuda a los equipos de TI a monitorear y gestionar toda su infraestructura, incluyendo redes, servidores, aplicaciones, bases de datos y sitios web, desde una única consola. Diseñado para organizaciones medianas a grandes que gestionan entornos híbridos y locales, OpManager Nexus proporciona una visibilidad profunda en cada capa de la pila de TI. Los equipos de TI obtienen una vista consolidada de su infraestructura, eliminando la necesidad de múltiples herramientas de monitoreo desconectadas y reduciendo la sobrecarga operativa que conlleva gestionarlas. Este enfoque unificado permite una toma de decisiones más rápida y ayuda a las organizaciones a mantener la fiabilidad del servicio en entornos complejos y distribuidos donde el tiempo de inactividad puede tener un impacto directo en la continuidad del negocio. OpManager Nexus incluye capacidades de AIOps que van más allá del monitoreo tradicional. Las integraciones de IA agéntica e IA generativa automatizan los diagnósticos rutinarios y aceleran la resolución de problemas, mientras que la correlación inteligente de eventos identifica relaciones entre alertas en toda la pila. Juntas, estas capacidades ayudan a los equipos de TI a detectar problemas temprano, filtrar el ruido de alertas y resolver problemas antes de que impacten a los usuarios finales o a las operaciones comerciales más amplias. Para los equipos de TI que manejan grandes volúmenes de eventos en entornos extensos, este nivel de automatización reduce significativamente el tiempo dedicado a la resolución de problemas manual. En el frente de la implementación, OpManager Nexus admite tanto la instalación local como el acceso en la nube (impulsado por Site24x7) a través de los centros de datos privados de ManageEngine. Las organizaciones pueden elegir el modelo que se alinee con su estrategia de infraestructura, políticas de seguridad y requisitos de cumplimiento, sin comprometer la profundidad del monitoreo o la capacidad de la plataforma. Como parte del ecosistema de ManageEngine, OpManager Nexus se integra de manera nativa con herramientas de ITSM, analítica y seguridad, brindando a los equipos de TI el contexto operativo completo necesario para gestionar el rendimiento de la infraestructura y responder a incidentes de principio a fin. **Average Rating:** 4.6/5.0 **Total Reviews:** 224 #### How Do G2 Users Rate OpManager Nexus? - **¿Ha sido the product un buen socio para hacer negocios?:** 9.0/10 (Category avg: 9.1/10) #### Who Is the Company Behind OpManager Nexus? - **Vendedor:** [Zoho](https://www.g2.com/es/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704) - **Sitio web de la empresa:** www.zoho.com - **Año de fundación:** 1996 - **Ubicación de la sede:** Austin, TX - **Twitter:** @Zoho 137,880 seguidores en Twitter - **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9c8e45ddb296c32c6c5597ef9ba945c94562c57624f7bd1dcf1a9e9931f71578&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F38373%2F&secure%5Burl_type%5D=linkedin_company_website) 30,766 empleados en LinkedIn® #### Who Uses This Product? - **Who Uses This:** Gerente de TI, Administrador de Red - **Top Industries:** Tecnología de la información y servicios, Servicios Financieros - **Company Size:** 54% Medium, 32% Large #### What Do G2 Reviewers Say About OpManager Nexus? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios valoran las **capacidades de monitoreo** de OpManager Nexus, elogiando su facilidad de uso y la efectividad de las alertas en tiempo real. - Los usuarios valoran el **monitoreo en tiempo real** de OpManager Nexus, mejorando la resolución de problemas y manteniendo la eficiencia del sistema. - Los usuarios aprecian la **facilidad de uso** de OpManager Nexus, que simplifica la supervisión y gestión de sistemas críticos. - Los usuarios valoran la **interfaz de usuario intuitiva** de OpManager Nexus, mejorando su experiencia de monitoreo con una navegación fácil y alertas. - Los usuarios valoran las **capacidades de monitoreo integral** de OpManager Nexus para una gestión mejorada de servidores y redes. ##### Cons - Los usuarios encuentran que la **complejidad de la configuración** de OpManager Nexus puede llevar a dificultades en la gestión y las notificaciones. - Los usuarios encuentran la **configuración compleja** de OpManager desafiante, especialmente durante la configuración inicial y la gestión de alertas. - Los usuarios encuentran el **configuración compleja** de OpManager Nexus desafiante, especialmente durante el proceso de incorporación inicial. - Los usuarios notan **características faltantes** en OpManager Nexus, con algunas opciones avanzadas bloqueadas detrás de ediciones superiores, limitando la funcionalidad. - Los usuarios encuentran la **configuración difícil** de OpManager desafiante, lo que a menudo lleva a alertas excesivas sin los ajustes adecuados. #### What Are Recent G2 Reviews of OpManager Nexus? **["Paneles de control claros y alertas proactivas para una visibilidad completa de la infraestructura"](https://www.g2.com/es/survey_responses/opmanager-nexus-review-13121842)** **Rating:** 4.5/5.0 stars _— Tarun A._ [Read full review](https://www.g2.com/es/survey_responses/opmanager-nexus-review-13121842) **["Paneles de Control NOC Centralizados y Monitoreo en Tiempo Real Simplificado"](https://www.g2.com/es/survey_responses/opmanager-nexus-review-13134137)** **Rating:** 5.0/5.0 stars _— Francesco T._ [Read full review](https://www.g2.com/es/survey_responses/opmanager-nexus-review-13134137) #### What Are G2 Users Discussing About OpManager Nexus? - [¿Para qué se utiliza ManageEngine OpManager?](https://www.g2.com/es/discussions/what-is-manageengine-opmanager-used-for) - [How do I upgrade ManageEngine OpManager?](https://www.g2.com/es/discussions/how-do-i-upgrade-manageengine-opmanager) - 1 comment, 3 upvotes - [¿Qué es el software ManageEngine?](https://www.g2.com/es/discussions/manageengine-opmanager-what-is-manageengine-software) - 1 comment - [¿Cómo se utilizan las herramientas de OpManager?](https://www.g2.com/es/discussions/how-do-you-use-opmanager-tools) - 1 comment - [What is the use of OpManager?](https://www.g2.com/es/discussions/what-is-the-use-of-opmanager) ### [IBM Instana](https://www.g2.com/es/products/ibm-instana/reviews) IBM Instana, ahora parte de la plataforma Concert, descubre y mapea automáticamente todos los servicios, la infraestructura y sus interdependencias. Instana ingiere todas las métricas de observabilidad, rastrea cada solicitud, perfila cada proceso y actualiza los mapas de dependencia de aplicaciones en tiempo real para ofrecer el contexto y la retroalimentación accionable que DevOps necesita para optimizar el rendimiento de las aplicaciones, habilitar la innovación y mitigar riesgos para ayudarles a añadir valor y eficiencia a la cadena de producción. IBM Instana está disponible en AWS Marketplace. **Average Rating:** 4.4/5.0 **Total Reviews:** 470 #### How Do G2 Users Rate IBM Instana? - **Monitoreo de Sistemas:** 9.0/10 (Category avg: 9.0/10) - **Inteligencia Artificial:** 8.7/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 8.5/10 (Category avg: 9.1/10) - **Informes:** 8.7/10 (Category avg: 8.8/10) #### Who Is the Company Behind IBM Instana? - **Vendedor:** [IBM](https://www.g2.com/es/sellers/ibm) - **Sitio web de la empresa:** www.ibm.com - **Año de fundación:** 1911 - **Ubicación de la sede:** Armonk, New York, United States - **Twitter:** @IBMSecurity 74,660 seguidores en Twitter - **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 empleados en LinkedIn® #### Who Uses This Product? - **Who Uses This:** Ingeniero de software, Ingeniero de Sistemas - **Top Industries:** Tecnología de la información y servicios, Software de Computadora - **Company Size:** 41% Medium, 36% Large #### What Do G2 Reviewers Say About IBM Instana? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios encuentran **la facilidad de uso** de IBM Instana notable, simplificando el monitoreo de aplicaciones complejas y proporcionando un excelente soporte. - Los usuarios valoran el **monitoreo sin esfuerzo** con IBM Instana, disfrutando de la visibilidad en tiempo real y el mapeo automático de servicios. - Los usuarios aprecian las capacidades de **monitoreo en tiempo real** de IBM Instana, haciendo que el análisis de la causa raíz sea fácil y eficiente. - Los usuarios aprecian las **capacidades de monitoreo sin esfuerzo** de IBM Instana, mejorando la visibilidad y simplificando la gestión de aplicaciones. - Los usuarios encuentran que la **configuración fácil** de IBM Instana permite un monitoreo sin esfuerzo y rápidas perspectivas en tiempo real sin configuraciones manuales. ##### Cons - Los usuarios encuentran que el precio de IBM Instana es **caro** , especialmente a medida que su infraestructura escala. - Los usuarios encuentran **problemas de interfaz de usuario ocupada** que complican el análisis de datos y requieren tiempo para aclimatarse completamente. - Los usuarios encuentran la **curva de aprendizaje empinada** , lo que hace que la configuración y personalización sean más desafiantes que con otras herramientas de monitoreo. - Los usuarios encuentran la **curva de aprendizaje difícil** de IBM Instana desafiante, especialmente para los nuevos usuarios que navegan por la interfaz. - Los usuarios notan el **precio elevado** de IBM Instana, especialmente a medida que la infraestructura escala, lo cual puede ser una preocupación. #### What Are Recent G2 Reviews of IBM Instana? **["Análisis potentes y automatización impulsan un rendimiento excepcional"](https://www.g2.com/es/survey_responses/ibm-instana-review-12064579)** **Rating:** 4.5/5.0 stars _— Konjengbam M._ [Read full review](https://www.g2.com/es/survey_responses/ibm-instana-review-12064579) **["Monitoreo integral, curva de aprendizaje pronunciada"](https://www.g2.com/es/survey_responses/ibm-instana-review-13089173)** **Rating:** 4.5/5.0 stars _— Aleksander M._ [Read full review](https://www.g2.com/es/survey_responses/ibm-instana-review-13089173) #### What Are G2 Users Discussing About IBM Instana? - [¿Qué es el Monitoreo del Rendimiento de Aplicaciones (APM)?](https://www.g2.com/es/discussions/what-is-application-performance-monitoring-apm) - 2 comments - [What is Instana?](https://www.g2.com/es/discussions/instana-what-is-instana) - [¿Qué es Instana?](https://www.g2.com/es/discussions/what-is-instana) - 2 comments ### [Dynatrace](https://www.g2.com/products/dynatrace/reviews) Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. Learn more at www.dynatrace.com. **Average Rating:** 4.5/5.0 **Total Reviews:** 1,234 #### How Do G2 Users Rate Dynatrace? - **Systems Monitoring:** 8.8/10 (Category avg: 9.0/10) - **Artificial Intelligence:** 8.5/10 (Category avg: 8.6/10) - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10) - **Reporting:** 8.2/10 (Category avg: 8.8/10) #### Who Is the Company Behind Dynatrace? - **Seller:** [Dynatrace](https://www.g2.com/sellers/dynatrace) - **Year Founded:** 2005 - **HQ Location:** Boston, MA - **Twitter:** @Dynatrace 18,668 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=83c43c7495079d745f57a9f8c381cbe86f78689894d05ac3e6cb0ba76b16494d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F125999%2F&secure%5Burl_type%5D=linkedin_company_website) 6,060 employees on LinkedIn® - **Ownership:** NYSE: DT #### Who Uses This Product? - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 69% Large, 23% Medium #### What Do G2 Reviewers Say About Dynatrace? _AI-generated summary from verified user reviews_ ##### Pros - Users praise the **ease of use** of Dynatrace, highlighting its intuitive navigation and quick installation process. - Users value the **real-time break point feature** for debugging code in production, enhancing their development process. - Users commend the **quick information gathering** of Dynatrace, enhancing bug detection and overall debugging efficiency. - Users value the **comprehensive data gathering** capabilities of Dynatrace, enabling efficient bug detection without production interruptions. - Users find **monitoring** capabilities invaluable for quick insights and timely alerts on system issues, enhancing reliability. ##### Cons - Users find the **learning curve steep** , with challenges in instrumentation and understanding the system effectively. - Users are frustrated with **missing features** in Dynatrace, impacting data extraction and overall usability. - Users find the **complexity of instrumentation** with Dynatrace can hinder effective problem investigation and ease of use. - Users feel the **UI could be less cluttered** , making navigation and log viewing cumbersome for newcomers. - Users find the **steep learning curve** of Dynatrace challenging, making it difficult to fully utilize its features. #### What Are Recent G2 Reviews of Dynatrace? **["Davis AI Delivers Clear Root-Cause Insights and Real-Time User Monitoring"](https://www.g2.com/survey_responses/dynatrace-review-12645823)** **Rating:** 4.5/5.0 stars _— Sabina K._ [Read full review](https://www.g2.com/survey_responses/dynatrace-review-12645823) **["Comprehensive Observability, Excellent AI, but Complex Pricing"](https://www.g2.com/survey_responses/dynatrace-review-13111992)** **Rating:** 4.0/5.0 stars _— Vishnu Vardhan N._ [Read full review](https://www.g2.com/survey_responses/dynatrace-review-13111992) #### What Are G2 Users Discussing About Dynatrace? - [What is Dynatrace used for?](https://www.g2.com/discussions/what-is-dynatrace-used-for) - 3 comments - [How do you use Rookout?](https://www.g2.com/discussions/how-do-you-use-rookout) - [What is the use of Rookout?](https://www.g2.com/discussions/what-is-the-use-of-rookout) - [What is offline debugging?](https://www.g2.com/discussions/what-is-offline-debugging) - [What does Rookout do?](https://www.g2.com/discussions/what-does-rookout-do) - 2 comments ### [ScienceLogic AI Platform](https://www.g2.com/es/products/sciencelogic-ai-platform/reviews) ScienceLogic ofrece una plataforma de operaciones de TI unificada, centrada en el servicio y potenciada por IA que transforma las TI reactivas en operaciones inteligentes y automatizadas, utilizando datos de telemetría de alta fidelidad y automatización segura y explicable para ofrecer resultados medibles. Desplegable en entornos locales, en la nube e híbridos, la Plataforma de IA de ScienceLogic consolida herramientas fragmentadas, ofrece una observabilidad completa consciente del servicio y empodera a los ingenieros para ir más allá de los procesos manuales con la eficiencia de la automatización y la inteligencia de la IA. A diferencia de los competidores, la plataforma de ScienceLogic aprovecha la automatización como un verdadero diferenciador, proporcionando información orientada a objetivos, remediación de bucle cerrado y acciones explicables gobernadas por políticas empresariales. Esto reduce el MTTR, mejora la eficiencia y libera a los equipos para centrarse en la innovación, con la confianza de que cada acción automatizada es segura, verificable y alineada con la intención del negocio. A través de integraciones sin fisuras, capacidades avanzadas de IA agente y una arquitectura rica en datos construida sobre telemetría continua y descubrimiento, la Plataforma de IA de ScienceLogic permite a las empresas y proveedores de servicios gestionados gestionar infraestructuras complejas y distribuidas con precisión, eficiencia y rapidez. Flexible y extensa, la Plataforma de IA de ScienceLogic ayuda a empresas, MSPs, agencias gubernamentales y otras organizaciones a escalar servicios de manera confiable, ofrecer experiencias superiores al cliente y consolidar conjuntos de herramientas con automatización inteligente basada en datos confiables. Reconocida como líder en The Forrester Wave™: Plataformas AIOps, Q2 2025, y como visionaria en el Cuadrante Mágico™ de Gartner® 2025 para Plataformas de Observabilidad, ScienceLogic empodera a los clientes para lograr una restauración de servicios más rápida, visibilidad a nivel ejecutivo y resultados óptimos de negocio, mientras avanzan hacia operaciones de TI completamente autónomas. **Average Rating:** 4.5/5.0 **Total Reviews:** 37 #### How Do G2 Users Rate ScienceLogic AI Platform? - **Monitoreo de Sistemas:** 9.3/10 (Category avg: 9.0/10) - **Inteligencia Artificial:** 8.8/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 9.2/10 (Category avg: 9.1/10) - **Informes:** 8.3/10 (Category avg: 8.8/10) #### Who Is the Company Behind ScienceLogic AI Platform? - **Vendedor:** [ScienceLogic](https://www.g2.com/es/sellers/sciencelogic) - **Sitio web de la empresa:** www.sciencelogic.com - **Año de fundación:** 2003 - **Ubicación de la sede:** Reston, Virginia - **Twitter:** @ScienceLogic 9,190 seguidores en Twitter - **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e7bd1e3d7d9710c8afbe5a6a3f6b40cb62860bb6c791da8a8784fa09df96b073&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F70487%2F&secure%5Burl_type%5D=linkedin_company_website) 582 empleados en LinkedIn® #### Who Uses This Product? - **Top Industries:** Tecnología de la información y servicios, Software de Computadora - **Company Size:** 52% Large, 21% Medium #### What Do G2 Reviewers Say About ScienceLogic AI Platform? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios valoran la **detección automatizada de causas raíz** de ScienceLogic AI, reduciendo significativamente los esfuerzos manuales y acelerando la resolución de problemas. - Los usuarios valoran la **visibilidad unificada** y los análisis impulsados por IA de la Plataforma de IA de ScienceLogic para una gestión de TI eficiente. - Los usuarios se benefician de la **eficiencia en el monitoreo** con ScienceLogic AI, mejorando la visibilidad y reduciendo el tiempo de inactividad. - Los usuarios valoran el **análisis predictivo y la visibilidad** de la plataforma de IA de ScienceLogic, mejorando las operaciones de TI y reduciendo el tiempo de inactividad. - Los usuarios valoran las **capacidades de monitoreo integral** de la Plataforma de IA de ScienceLogic, mejorando la gestión de TI y la eficiencia operativa. ##### Cons - Los usuarios enfrentan desafíos con **alertas ruidosas y falsos positivos** , lo que complica los esfuerzos de gestión y ajuste de alertas. - Los usuarios encuentran la **difícil curva de aprendizaje** de la plataforma de IA de ScienceLogic desafiante, lo que afecta la experiencia general de configuración. - Los usuarios encuentran la **empinada curva de aprendizaje** de la plataforma de IA de ScienceLogic desafiante durante la configuración inicial y la personalización. - Los usuarios encuentran el **empinada curva de aprendizaje** desafiante durante la configuración inicial, aunque la personalización ofrece beneficios a largo plazo. - Los usuarios encuentran la **configuración inicial compleja** , lo que presenta una curva de aprendizaje pronunciada y complica el despliegue y la integración. #### What Are Recent G2 Reviews of ScienceLogic AI Platform? **["Observabilidad Unificada, Automatización y Visibilidad de Servicios Empresariales en Una Plataforma"](https://www.g2.com/es/survey_responses/sciencelogic-ai-platform-review-13224116)** **Rating:** 5.0/5.0 stars _— sasidharan r._ [Read full review](https://www.g2.com/es/survey_responses/sciencelogic-ai-platform-review-13224116) **["Visibilidad de TI híbrida centrada en el servicio con potentes conocimientos de AIOps"](https://www.g2.com/es/survey_responses/sciencelogic-ai-platform-review-13204532)** **Rating:** 5.0/5.0 stars _— Rupa P._ [Read full review](https://www.g2.com/es/survey_responses/sciencelogic-ai-platform-review-13204532) #### What Are G2 Users Discussing About ScienceLogic AI Platform? - [Which appliance provides the user interface in the SL1 architecture?](https://www.g2.com/es/discussions/sciencelogic-sl1-platform-which-appliance-provides-the-user-interface-in-the-sl1-architecture) - [Which appliance provides the user interface in the SL1 architecture?](https://www.g2.com/es/discussions/which-appliance-provides-the-user-interface-in-the-sl1-architecture) - [What is infrastructure monitoring?](https://www.g2.com/es/discussions/what-is-infrastructure-monitoring) - [What is ScienceLogic used for?](https://www.g2.com/es/discussions/what-is-sciencelogic-used-for) - [What is ScienceLogic EM7?](https://www.g2.com/es/discussions/what-is-sciencelogic-em7) ### [Datadog](https://www.g2.com/es/products/datadog/reviews) Datadog es la plataforma de monitoreo, seguridad y análisis para desarrolladores, equipos de operaciones de TI, ingenieros de seguridad y usuarios empresariales en la era de la nube. La plataforma SaaS integra y automatiza el monitoreo de infraestructura, el monitoreo del rendimiento de aplicaciones y la gestión de registros para proporcionar una observabilidad unificada y en tiempo real de toda la pila tecnológica de nuestros clientes. Datadog es utilizado por organizaciones de todos los tamaños y en una amplia gama de industrias para habilitar la transformación digital y la migración a la nube, impulsar la colaboración entre los equipos de desarrollo, operaciones, seguridad y negocios, acelerar el tiempo de lanzamiento al mercado de aplicaciones, reducir el tiempo de resolución de problemas, asegurar aplicaciones e infraestructura, comprender el comportamiento del usuario y rastrear métricas clave del negocio. **Average Rating:** 4.4/5.0 **Total Reviews:** 715 #### How Do G2 Users Rate Datadog? - **Monitoreo de Sistemas:** 9.4/10 (Category avg: 9.0/10) - **Inteligencia Artificial:** 9.1/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 8.5/10 (Category avg: 9.1/10) - **Informes:** 9.0/10 (Category avg: 8.8/10) #### Who Is the Company Behind Datadog? - **Vendedor:** [Datadog](https://www.g2.com/es/sellers/datadog) - **Sitio web de la empresa:** www.datadoghq.com - **Año de fundación:** 2010 - **Ubicación de la sede:** New York - **Twitter:** @datadoghq 51,207 seguidores en Twitter - **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1b0942496e12618acadaab3a1601417c9f0d1941be094e2cefb0d89c606e73b5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1066442%2F&secure%5Burl_type%5D=linkedin_company_website) 9,386 empleados en LinkedIn® #### Who Uses This Product? - **Who Uses This:** Ingeniero de software, Ingeniero de DevOps - **Top Industries:** Tecnología de la información y servicios, Software de Computadora - **Company Size:** 47% Medium, 34% Large #### What Do G2 Reviewers Say About Datadog? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios valoran la **facilidad de uso** de Datadog, apreciando los paneles intuitivos y las integraciones sin problemas para el monitoreo. - Los usuarios valoran las **funciones de monitoreo fáciles de usar** de Datadog, apreciando sus paneles intuitivos y rápidas integraciones. - Los usuarios valoran las capacidades de **monitoreo en tiempo real** de Datadog, mejorando su conciencia operativa y tiempos de respuesta. - Los usuarios aprecian la **interfaz fácil de usar** y las **características robustas** de Datadog para una monitorización e integración sin problemas. - Los usuarios valoran la **creación de paneles intuitivos** en Datadog, haciendo que el monitoreo sea fácil y efectivo en diversos entornos. ##### Cons - Los usuarios sienten que el precio de Datadog es **caro** , sugiriendo que debería ser más asequible para un mejor acceso. - Los usuarios encuentran la **curva de aprendizaje empinada** , con muchas características abrumadoras y que requieren un nivel de experiencia más alto. - Los usuarios encuentran los **problemas de precios** de Datadog preocupantes, citando costos altos que aumentan de manera impredecible con las características adicionales. - Los usuarios sienten que el **costo es demasiado alto** , especialmente porque los gastos pueden escalar de manera impredecible con características adicionales y registros. - Los usuarios informan de una **curva de aprendizaje pronunciada** con Datadog, encontrando la configuración y el uso desafiantes para los recién llegados. #### What Are Recent G2 Reviews of Datadog? **["Detección de incidentes más rápida y análisis de la causa raíz, lo que lleva a una mejor experiencia del cliente."](https://www.g2.com/es/survey_responses/datadog-review-12850013)** **Rating:** 4.5/5.0 stars _— Bertrand P._ [Read full review](https://www.g2.com/es/survey_responses/datadog-review-12850013) **["Datadog: Registros, Métricas y Trazas Unificados para Visibilidad en Tiempo Real y Depuración Más Rápida"](https://www.g2.com/es/survey_responses/datadog-review-13049319)** **Rating:** 4.5/5.0 stars _— Anshul S._ [Read full review](https://www.g2.com/es/survey_responses/datadog-review-13049319) #### What Are G2 Users Discussing About Datadog? - [How good is Datadog?](https://www.g2.com/es/discussions/how-good-is-datadog) - [¿Datadog utiliza AWS?](https://www.g2.com/es/discussions/does-datadog-use-aws) - 2 comments - [What can Datadog monitor?](https://www.g2.com/es/discussions/what-can-datadog-monitor) - [¿Cuál es el uso de Datadog?](https://www.g2.com/es/discussions/what-is-the-use-of-datadog) - 3 comments ### [Rakuten SixthSense Observability](https://www.g2.com/es/products/rakuten-sixthsense-observability/reviews) En el panorama digital actual, las empresas necesitan una solución de Monitoreo del Rendimiento de Aplicaciones (APM) poderosa y completa para mantenerse a la vanguardia. Presentamos Rakuten SixthSense Observability, una herramienta APM de próxima generación que transforma la forma en que monitoreas, analizas y optimizas tus aplicaciones e infraestructura. Con su robusto conjunto de características y análisis avanzados, Rakuten SixthSense Observability te permite identificar y resolver problemas de manera proactiva, optimizar operaciones y mejorar las experiencias de los clientes. Capacidades Clave: • Monitoreo y Alertas Integrales: Rakuten SixthSense Observability ofrece monitoreo de extremo a extremo de tus aplicaciones, infraestructura y rendimiento de la red. Con alertas en tiempo real y paneles personalizables, puedes detectar rápidamente problemas y obtener información procesable sobre la salud y el rendimiento de tus sistemas. • Rastreo Distribuido y Correlación: Obtén visibilidad completa del rendimiento de tu aplicación con el rastreo distribuido, que sigue transacciones y solicitudes a través de múltiples servicios y componentes. Esta característica te ayuda a identificar cuellos de botella, problemas de latencia y errores, facilitando la optimización de tu aplicación y mejorando las experiencias de los clientes. • Detección de Anomalías y Aprendizaje Automático: Aprovecha las capacidades avanzadas de aprendizaje automático de Rakuten SixthSense para identificar automáticamente patrones inusuales y desviaciones en el rendimiento de la aplicación y la utilización de recursos. Este enfoque proactivo te permite detectar y resolver problemas antes de que impacten en tu negocio y clientes. • Análisis y Visualización Avanzados: Las herramientas de visualización de datos y análisis de Rakuten SixthSense te permiten profundizar en los datos de rendimiento de tu aplicación. Genera informes personalizados, analiza tendencias y descubre patrones ocultos que pueden impulsar la mejora continua y la optimización. • Gestión e Integración de Registros: Recoge, analiza y almacena sin esfuerzo registros de diversas fuentes con la función de gestión de registros integrada de Rakuten SixthSense. Esta integración fluida te permite correlacionar datos de registros con métricas de rendimiento y rastreos, proporcionando una comprensión integral del comportamiento de tu aplicación. • Escalabilidad y Flexibilidad: Rakuten SixthSense Observability está diseñado para escalar con las crecientes necesidades de tu negocio, apoyando una amplia gama de aplicaciones, servicios e infraestructura. Su arquitectura flexible te permite personalizar la herramienta según tus requisitos específicos e integrarla con otras soluciones de monitoreo y observabilidad. Conjunto de Características Actual: • Monitoreo del Rendimiento de Aplicaciones: Visibilidad completa en Java, PHP, Node.js, Python, Go y mucho más. Características Clave incluyen Rastreo Distribuido, Perfilado, Monitoreo de Bases de Datos. • Monitoreo de Infraestructura: Obtén una vista panorámica de la salud de tu infraestructura y obtén información detallada con un despliegue fácil. Características Clave incluyen Kubernetes, VMs, Servidores Web, Integraciones en la Nube. • Monitoreo de la Experiencia Digital: Mejora la experiencia del usuario final de tus aplicaciones mapeadas con información contextual de métricas de rendimiento de aplicaciones. • Monitoreo de Navegadores: Métricas para optimizar la experiencia de los usuarios finales y ayudar a mejorar el rendimiento de la aplicación. • Monitoreo Móvil: Monitorea fallos, rendimiento y métricas de uso para tus aplicaciones móviles. • Monitoreo Sintético: Simula transacciones de usuarios finales utilizando scripts de prueba de bajo código, sin código. • Monitoreo de VMs: La capacidad de monitoreo de VMs te permite ver el rendimiento de tu infraestructura y la salud de servidores, máquinas virtuales, contenedores, bases de datos, etc., de un vistazo. • Motor Cognitivo SixthSense: Observabilidad moderna y enfoque proactivo utilizando inteligencia artificial. La aplicación utiliza diferentes algoritmos de IA/ML que pueden predecir métricas de rendimiento con una precisión de hasta el 98% y un nivel de confianza del 90%. **Average Rating:** 4.6/5.0 **Total Reviews:** 52 #### How Do G2 Users Rate Rakuten SixthSense Observability? - **Monitoreo de Sistemas:** 9.5/10 (Category avg: 9.0/10) - **Inteligencia Artificial:** 9.0/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 9.2/10 (Category avg: 9.1/10) - **Informes:** 8.6/10 (Category avg: 8.8/10) #### Who Is the Company Behind Rakuten SixthSense Observability? - **Vendedor:** [Rakuten SixthSense](https://www.g2.com/es/sellers/rakuten-sixthsense-f1af4c23-8be7-4bf4-a775-a4d50eebce5d) - **Año de fundación:** 2016 - **Ubicación de la sede:** Bengaluru, IN - **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=56b248cb58d0ee9d638f70976e5e005d45b5ce20f9d29e7f666aae203e30aa49&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frakuten-sixthsense%2F&secure%5Burl_type%5D=linkedin_company_website) 5 empleados en LinkedIn® - **Propiedad:** TYO: 4755 #### Who Uses This Product? - **Who Uses This:** Ingeniero de Software Senior - **Top Industries:** Tecnología de la información y servicios, Videojuegos - **Company Size:** 47% Large, 38% Medium #### What Do G2 Reviewers Say About Rakuten SixthSense Observability? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios valoran la **profunda visibilidad** en el rendimiento de la aplicación proporcionada por Rakuten SixthSense, mejorando la detección proactiva de anomalías y la toma de decisiones. - Los usuarios aprecian el **sistema de alertas eficiente** , que permite transiciones rápidas de alertas a la resolución de código en un solo panel. - Los usuarios valoran el **excelente soporte al cliente** de Rakuten SixthSense, mejorando su experiencia con la plataforma. - Los usuarios aprecian la **facilidad de uso** de Rakuten SixthSense Observability, simplificando la resolución de problemas con una interfaz intuitiva. - Los usuarios aprecian la **fácil implementación** de Rakuten SixthSense Observability, haciendo que el monitoreo y la depuración sean directos y eficientes. ##### Cons - Los usuarios encuentran el **configuración compleja** desafiante, requiriendo un esfuerzo significativo de incorporación a pesar del soporte receptivo para la personalización. - Los usuarios encuentran que la **pobre documentación** de Rakuten SixthSense Observability es insuficiente, lo que dificulta el uso efectivo y la incorporación. - Los usuarios informan de **alertas de falsos positivos** y desean una funcionalidad mejorada para la visualización oportuna de registros de errores y notificaciones. - Los usuarios señalan el **sistema de alertas ineficiente** , citando frecuentes falsos positivos y la falta de las características deseadas de informes en el panel de control. - Los usuarios sienten que **la documentación necesita mejoras** para mejorar la usabilidad general y la experiencia del usuario de la herramienta. #### What Are Recent G2 Reviews of Rakuten SixthSense Observability? **["Una muy buena herramienta de monitoreo y observabilidad SAAS"](https://www.g2.com/es/survey_responses/rakuten-sixthsense-observability-review-11287792)** **Rating:** 5.0/5.0 stars _— Usuario verificado en Videojuegos_ [Read full review](https://www.g2.com/es/survey_responses/rakuten-sixthsense-observability-review-11287792) **["¡Gran herramienta de monitoreo!"](https://www.g2.com/es/survey_responses/rakuten-sixthsense-observability-review-8230168)** **Rating:** 5.0/5.0 stars _— Usuario verificado en Tecnología de la información y servicios_ [Read full review](https://www.g2.com/es/survey_responses/rakuten-sixthsense-observability-review-8230168) ### [Elastic Observability](https://www.g2.com/es/products/elastic-observability/reviews) Observabilidad nativa de OpenTelemetry para un análisis rápido de causas raíz impulsado por IA Busca, analiza y actúa con registros, métricas y trazas. Los líderes de SRE buscan prevenir proactivamente el tiempo de inactividad, simplificar los conjuntos de herramientas y reducir el trabajo arduo, pero la complejidad de múltiples nubes y los conjuntos de herramientas fragmentados crean brechas de visibilidad que dificultan mantenerse a la vanguardia. Nativa de OTel y potenciada por IA, Elastic Observability ingiere y correlaciona petabytes de telemetría a través de tus aplicaciones, servicios e infraestructura, en tiempo real. Acelera la resolución de problemas con flujos de trabajo agénticos integrados y un Asistente de IA que va mucho más allá del chat para reforzar la experiencia del equipo y guiar las investigaciones, fundamentado con el contexto de tus bases de conocimiento organizacional. ¿Más datos, más problemas? Ya no más. La mayoría de las soluciones de observabilidad y registro no fueron construidas para la escala de hoy. Elastic sí lo es. Nuestra arquitectura está diseñada para manejar petabytes de registros con indexación, compresión y almacenamiento eficiente y buscable para que puedas mantener toda la telemetría que necesitas, sin romper el banco. Almacena más, gasta menos y resuelve problemas más rápido con una plataforma escalable, abierta y extensible que unifica la visibilidad en todo tu entorno. **Average Rating:** 4.2/5.0 **Total Reviews:** 90 #### How Do G2 Users Rate Elastic Observability? - **Monitoreo de Sistemas:** 9.0/10 (Category avg: 9.0/10) - **Inteligencia Artificial:** 7.2/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 7.7/10 (Category avg: 9.1/10) - **Informes:** 7.8/10 (Category avg: 8.8/10) #### Who Is the Company Behind Elastic Observability? - **Vendedor:** [Elastic](https://www.g2.com/es/sellers/elastic) - **Sitio web de la empresa:** www.elastic.co - **Año de fundación:** 2012 - **Ubicación de la sede:** San Francisco, CA - **Twitter:** @elastic 65,200 seguidores en Twitter - **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc8e533876f16af617380aaa3922cb6a39a1d6233f0b32a0fa987a5fdffd799e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F814025%2F&secure%5Burl_type%5D=linkedin_company_website) 5,079 empleados en LinkedIn® #### Who Uses This Product? - **Who Uses This:** Ingeniero de software - **Top Industries:** Tecnología de la información y servicios, Software de Computadora - **Company Size:** 51% Large, 48% Medium #### What Do G2 Reviewers Say About Elastic Observability? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios aprecian la **interfaz de usuario intuitiva** de Elastic Observability, lo que facilita la navegación y configuración. - Los usuarios valoran las **capacidades de alerta en tiempo real** de Elastic Observability, mejorando el monitoreo proactivo y los conocimientos del sistema. - Los usuarios aprecian las **excelentes capacidades de recopilación de registros** de Elastic Observability, que agilizan sus tareas de monitoreo y análisis. - Los usuarios aprecian las **excelentes capacidades de monitoreo** de Elastic Observability, simplificando sus procesos de recopilación y análisis de datos. - Los usuarios valoran la **fácil integración y flexibilidad** de Elastic Observability, mejorando la resolución de problemas y la visibilidad operativa. ##### Cons - Los usuarios encuentran la **curva de aprendizaje empinada** , requiriendo un entrenamiento y conocimiento significativos para utilizar eficazmente Elastic Observability. - Los usuarios encuentran la **curva de aprendizaje difícil** desafiante, particularmente para los equipos que no están familiarizados con Elastic Stack y ELK. - Los usuarios encuentran frustrante que haya **integración y alertas limitadas para la gestión de registros** , lo que complica la visibilidad de los registros. - Los usuarios encuentran la **dificultad de aprendizaje** abrumadora, especialmente cuando navegan por registros extensos y características avanzadas por primera vez. - Los usuarios tienen dificultades con **problemas de gestión de registros** , enfrentando desafíos con las alertas, la integración de APM y la falta de visualización centralizada de registros. #### What Are Recent G2 Reviews of Elastic Observability? **["Perspicaz, pero necesita una mejor personalización"](https://www.g2.com/es/survey_responses/elastic-observability-review-12668298)** **Rating:** 4.0/5.0 stars _— Sam ._ [Read full review](https://www.g2.com/es/survey_responses/elastic-observability-review-12668298) **["APM es un cambio de juego para la infraestructura de GKE"](https://www.g2.com/es/survey_responses/elastic-observability-review-12628710)** **Rating:** 5.0/5.0 stars _— Ever M._ [Read full review](https://www.g2.com/es/survey_responses/elastic-observability-review-12628710) #### What Are G2 Users Discussing About Elastic Observability? - [Can I use Elasticsearch as a database?](https://www.g2.com/es/discussions/can-i-use-elasticsearch-as-a-database) - [¿Puedo usar Elasticsearch gratis?](https://www.g2.com/es/discussions/can-i-use-elasticsearch-for-free) - 1 comment - [What is elastic search?](https://www.g2.com/es/discussions/what-is-elastic-search) - [What is elastic search used for?](https://www.g2.com/es/discussions/what-is-elastic-search-used-for) ### [New Relic](https://www.g2.com/es/products/new-relic/reviews) New Relic es la plataforma de Observabilidad Inteligente todo en uno diseñada para ayudar a los equipos de ingeniería y TI a planificar, construir, desplegar y ejecutar software con confianza. Al unificar métricas, eventos, registros y trazas en una única nube de telemetría segura, New Relic ofrece a más de 25 millones de ingenieros visibilidad en tiempo real e información impulsada por IA en todo su entorno digital, desde el código hasta la nube. Diseñada para reemplazar soluciones puntuales fragmentadas, New Relic consolida la observabilidad de pila completa en una única fuente de verdad. La plataforma reúne el Monitoreo del Rendimiento de Aplicaciones (APM), monitoreo de infraestructura, gestión de registros, monitoreo de experiencia digital (DEM), monitoreo de contenedores y AIOps en una interfaz cohesiva. Impulsada por un motor de IA avanzado, New Relic empareja automáticamente los datos de telemetría para cambiar la resolución de problemas de la depuración reactiva a la resolución proactiva y predictiva, ayudando a los equipos a reducir el tiempo medio de resolución (MTTR) y eliminar las interrupciones digitales antes de que impacten a los usuarios finales. Equipado con más de 500 integraciones de código abierto, New Relic se conecta sin problemas con su pila existente. Junto con precios transparentes basados en el consumo y el usuario, las organizaciones obtienen total previsibilidad sobre sus costos sin sacrificar la profundidad de la telemetría. **Average Rating:** 4.4/5.0 **Total Reviews:** 571 #### How Do G2 Users Rate New Relic? - **Monitoreo de Sistemas:** 9.8/10 (Category avg: 9.0/10) - **Inteligencia Artificial:** 9.8/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 8.5/10 (Category avg: 9.1/10) - **Informes:** 9.4/10 (Category avg: 8.8/10) #### Who Is the Company Behind New Relic? - **Vendedor:** [New Relic](https://www.g2.com/es/sellers/new-relic) - **Sitio web de la empresa:** newrelic.com - **Año de fundación:** 2008 - **Ubicación de la sede:** San Francisco, CA - **Twitter:** @newrelic 65,727 seguidores en Twitter - **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a9eddd984f33572c5efbac2b43c77a680b5f6fb4b0c874a8dc1b10aa32b60f58&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F426253%2F&secure%5Burl_type%5D=linkedin_company_website) 3,053 empleados en LinkedIn® #### Who Uses This Product? - **Who Uses This:** Ingeniero de software, Ingeniero de Software Senior - **Top Industries:** Tecnología de la información y servicios, Software de Computadora - **Company Size:** 43% Medium, 30% Large #### What Do G2 Reviewers Say About New Relic? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios aprecian la **interfaz fácil e intuitiva** de New Relic, simplificando significativamente la navegación y la usabilidad. - Los usuarios valoran las capacidades de **monitoreo en tiempo real** de New Relic, mejorando sus conocimientos y la gestión del rendimiento de aplicaciones. - Los usuarios valoran las capacidades de **monitoreo en tiempo real** de New Relic, que mejoran la eficiencia en la detección y resolución de problemas. - Los usuarios valoran las **capacidades de observabilidad integral** de New Relic, lo que permite un monitoreo efectivo y una visión del rendimiento de las aplicaciones. - Los usuarios aprecian los **análisis detallados** y los paneles personalizables de New Relic, mejorando las perspectivas en tiempo real y el monitoreo del rendimiento. ##### Cons - Los usuarios encuentran el modelo de precios de New Relic **caro** , especialmente para equipos que gestionan grandes volúmenes de datos o múltiples usuarios. - Los usuarios encuentran el **modelo de precios caro** para equipos más grandes, especialmente cuando se trata de grandes volúmenes de datos. - Los usuarios encuentran **la pronunciada curva de aprendizaje** de New Relic desafiante, requiriendo tiempo para comprender completamente la plataforma. - Los usuarios encuentran la **complejidad** de la interfaz y la estructura de precios de New Relic intimidante, lo que afecta la facilidad de uso. - Los usuarios encuentran **curvas de aprendizaje difíciles** con NRQL y una sobrecarga de funciones, lo que hace que la incorporación y la navegación sean desafiantes para los recién llegados. #### What Are Recent G2 Reviews of New Relic? **["Revisión de la Experiencia del Usuario de New Relic"](https://www.g2.com/es/survey_responses/new-relic-review-10695865)** **Rating:** 5.0/5.0 stars _— bhavik m._ [Read full review](https://www.g2.com/es/survey_responses/new-relic-review-10695865) **["Observabilidad de extremo a extremo que hace que la resolución de problemas sea más rápida"](https://www.g2.com/es/survey_responses/new-relic-review-13057378)** **Rating:** 4.5/5.0 stars _— Ravindra N._ [Read full review](https://www.g2.com/es/survey_responses/new-relic-review-13057378) #### What Are G2 Users Discussing About New Relic? - [What does observability mean?](https://www.g2.com/es/discussions/what-does-observability-mean) - [How do you use New Relic?](https://www.g2.com/es/discussions/how-do-you-use-new-relic) - [¿Qué es la visibilidad de pila completa?](https://www.g2.com/es/discussions/what-is-full-stack-visibility) - 2 comments - [¿Para qué se utiliza la herramienta New Relic?](https://www.g2.com/es/discussions/what-is-new-relic-tool-used-for) - 1 comment ### [Site24x7](https://www.g2.com/products/site24x7/reviews) ManageEngine Site24x7 offers unified cloud monitoring for DevOps and IT operations within small to large organizations. The solution monitors the experience of real users accessing websites and applications from desktop and mobile devices. In-depth monitoring capabilities enable DevOps teams to monitor and troubleshoot applications, servers and network infrastructure, including private and public clouds. End-user experience monitoring is done from more than 100 locations across the world and various wireless carriers. **Average Rating:** 4.6/5.0 **Total Reviews:** 448 #### How Do G2 Users Rate Site24x7? - **Systems Monitoring:** 9.8/10 (Category avg: 9.0/10) - **Artificial Intelligence:** 8.1/10 (Category avg: 8.6/10) - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Reporting:** 9.4/10 (Category avg: 8.8/10) #### Who Is the Company Behind Site24x7? - **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704) - **Year Founded:** 1996 - **HQ Location:** Austin, TX - **Twitter:** @Zoho 137,880 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9c8e45ddb296c32c6c5597ef9ba945c94562c57624f7bd1dcf1a9e9931f71578&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F38373%2F&secure%5Burl_type%5D=linkedin_company_website) 30,766 employees on LinkedIn® - **Phone:** +1 (888) 900-9646 #### Who Uses This Product? - **Who Uses This:** CEO, CTO - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 45% Medium, 41% Small #### What Do G2 Reviewers Say About Site24x7? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Site24x7, benefiting from its simple interface and helpful support. - Users appreciate the **single pane of glass visibility** that seamlessly connects website and server metrics, saving time effortlessly. - Users appreciate the **real-time monitoring** capabilities of Site24x7, making performance tracking simple and efficient. - Users value the **vast monitoring options** of Site24x7, allowing easy management of multiple resources from one interface. - Users love the **easy setup and extensive visibility** of Site24x7, making network monitoring efficient and straightforward. ##### Cons - Users report **missing alerts** and challenges with interfaces, impacting event monitoring efficiency and effectiveness. - Users find the **tool integration process complex** , leading to confusion due to the multitude of options available. - Users find the pricing of Site24x7 to be **expensive** , particularly for smaller businesses needing flexibility. - Users find the **learning curve for advanced features** of Site24x7 can be steep and daunting. - Users find the **UI poorly designed** , noting it lacks intuitiveness and feels outdated, affecting overall usability. #### What Are Recent G2 Reviews of Site24x7? **["Site24x7: Easy, All-in-One Monitoring with Reliable Alerts and AI Insights"](https://www.g2.com/survey_responses/site24x7-review-13214427)** **Rating:** 5.0/5.0 stars _— sandip E._ [Read full review](https://www.g2.com/survey_responses/site24x7-review-13214427) **["Reliable All-in-One Monitoring Solution"](https://www.g2.com/survey_responses/site24x7-review-13212653)** **Rating:** 5.0/5.0 stars _— Mohit Y._ [Read full review](https://www.g2.com/survey_responses/site24x7-review-13212653) #### What Are G2 Users Discussing About Site24x7? - [What is the use of network monitoring tool?](https://www.g2.com/discussions/what-is-the-use-of-network-monitoring-tool) - [What is Site24x7?](https://www.g2.com/discussions/what-is-site24x7) - 1 comment - [What are the key features of network monitoring tool?](https://www.g2.com/discussions/what-are-the-key-features-of-network-monitoring-tool) - [What is the use of Site24x7?](https://www.g2.com/discussions/what-is-the-use-of-site24x7) - 1 comment ### [IBM Turbonomic](https://www.g2.com/es/products/ibm-turbonomic/reviews) IBM Turbonomic, ahora parte de la plataforma Concert, es una plataforma de gestión de recursos de aplicaciones en tiempo real diseñada para ayudar a los usuarios a optimizar y gestionar recursos en entornos híbridos y multi-nube. Esta solución innovadora analiza continuamente el rendimiento de las aplicaciones y la utilización de recursos, automatizando decisiones críticas de recursos para asegurar un rendimiento óptimo de las aplicaciones mientras minimiza los costos asociados con los recursos de la nube y la infraestructura. IBM Turbonomic aborda los desafíos de gestionar entornos complejos y dinámicos. A medida que las organizaciones adoptan cada vez más estrategias híbridas y multi-nube, la necesidad de una gestión efectiva de recursos se vuelve primordial. Turbonomic proporciona un enfoque integral para la gestión del rendimiento al analizar toda la pila tecnológica, identificando ineficiencias y descubriendo dependencias que pueden afectar el rendimiento de las aplicaciones. Esta capacidad de gestión proactiva permite a las organizaciones mantener altos niveles de servicio mientras controlan los costos. Una de las características clave de IBM Turbonomic es su capacidad para ajustar continuamente los recursos de las aplicaciones en tiempo real. Al monitorear la utilización de recursos y el rendimiento de las aplicaciones, Turbonomic previene la degradación del rendimiento y la sobreaprovisionamiento. Este ajuste dinámico asegura que las aplicaciones reciban los recursos necesarios cuando se necesitan, lo cual es crucial para mantener niveles óptimos de rendimiento. Además, la plataforma automatiza decisiones de recursos como escalado y ubicación, permitiendo a las organizaciones centrarse en iniciativas estratégicas en lugar de tareas manuales de gestión de recursos. Los clientes de Turbonomic informan una reducción promedio del 33% en el desperdicio de la nube y la infraestructura sin afectar el rendimiento de las aplicaciones, y un retorno de inversión del 471% en tres años. IBM Turbonomic también está disponible en AWS Marketplace. Al aprovechar Turbonomic, las empresas pueden asegurar que sus aplicaciones funcionen sin problemas, los recursos se utilicen de manera efectiva y los costos se mantengan bajo control, todo mientras se mantiene un enfoque en la innovación y el crecimiento. Para más información, por favor visite www.ibm.com/products/turbonomic **Average Rating:** 4.4/5.0 **Total Reviews:** 288 #### How Do G2 Users Rate IBM Turbonomic? - **Monitoreo de Sistemas:** 8.7/10 (Category avg: 9.0/10) - **Inteligencia Artificial:** 8.5/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 8.9/10 (Category avg: 9.1/10) - **Informes:** 8.5/10 (Category avg: 8.8/10) #### Who Is the Company Behind IBM Turbonomic? - **Vendedor:** [IBM](https://www.g2.com/es/sellers/ibm) - **Sitio web de la empresa:** www.ibm.com - **Año de fundación:** 1911 - **Ubicación de la sede:** Armonk, New York, United States - **Twitter:** @IBMSecurity 74,660 seguidores en Twitter - **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 empleados en LinkedIn® #### Who Uses This Product? - **Who Uses This:** Ingeniero de software, Ingeniero de Sistemas - **Top Industries:** Tecnología de la información y servicios, Software de Computadora - **Company Size:** 42% Large, 32% Medium #### What Do G2 Reviewers Say About IBM Turbonomic? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios aprecian la **optimización de costos** lograda por IBM Turbonomic, beneficiándose de una mejor gestión de recursos y gastos reducidos. - Los usuarios aprecian la **facilidad de uso** de IBM Turbonomic, haciendo que la gestión de recursos y el análisis de cargas de trabajo sean directos y eficientes. - Los usuarios admiran la **impresionante automatización** de IBM Turbonomic, gestionando eficazmente los recursos y mejorando el rendimiento sin intervención manual. - Los usuarios valoran la **optimización automatizada de recursos** de IBM Turbonomic, mejorando el rendimiento y simplificando los esfuerzos de gestión de recursos. - Los usuarios valoran el **monitoreo en tiempo real** de Turbonomic por sus conocimientos prácticos que mejoran el rendimiento y la fiabilidad. ##### Cons - Los usuarios enfrentan una **curva de aprendizaje pronunciada** con IBM Turbonomic, lo que hace que la configuración inicial sea un desafío para los recién llegados. - Los usuarios luchan con una **curva de aprendizaje pronunciada** para IBM Turbonomic, requiriendo tiempo y esfuerzo para entender sus complejidades. - Los usuarios enfrentan un **proceso de configuración complejo** que dificulta una incorporación rápida y una experiencia fluida con IBM Turbonomic. - Los usuarios enfrentan una **curva de aprendizaje** significativa con IBM Turbonomic, requiriendo tiempo y paciencia para un uso efectivo. - Los usuarios encuentran la **configuración difícil** de IBM Turbonomic desafiante, requiriendo un tiempo y esfuerzo significativos para entender y configurar. #### What Are Recent G2 Reviews of IBM Turbonomic? **["Optimizador Avanzado de Infraestructura con requisitos de configuración desafiantes."](https://www.g2.com/es/survey_responses/ibm-turbonomic-review-12821189)** **Rating:** 4.0/5.0 stars _— Pardeep J._ [Read full review](https://www.g2.com/es/survey_responses/ibm-turbonomic-review-12821189) **["Optimización de recursos más inteligente con automatización en tiempo real"](https://www.g2.com/es/survey_responses/ibm-turbonomic-review-12380847)** **Rating:** 5.0/5.0 stars _— Bishal D._ [Read full review](https://www.g2.com/es/survey_responses/ibm-turbonomic-review-12380847) #### What Are G2 Users Discussing About IBM Turbonomic? - [How much does Turbonomic cost?](https://www.g2.com/es/discussions/how-much-does-turbonomic-cost) - [Who uses Turbonomic?](https://www.g2.com/es/discussions/who-uses-turbonomic) - [What is Turbonomic IBM?](https://www.g2.com/es/discussions/what-is-turbonomic-ibm) - [What is Turbonomic used for?](https://www.g2.com/es/discussions/what-is-turbonomic-used-for) ### [SysAid](https://www.g2.com/es/products/sysaid/reviews) SysAid es una plataforma robusta de Gestión de Servicios de TI (ITSM) impulsada por Agentic AI, que automatiza el trabajo repetitivo y que consume tiempo, manteniendo a los equipos atrapados en un modo reactivo. Añadiendo una nueva capa operativa poderosa a TI, los Agentes de IA toman la primera acción, liberando a los equipos de TI para que se concentren en la optimización, la innovación y desafíos mayores. Ponte en marcha en semanas con una rápida incorporación, sin migraciones pesadas ni curvas de aprendizaje pronunciadas. La IA de SysAid está diseñada específicamente para TI, con seguridad y gobernanza integradas. Con nuestro soporte galardonado, estás preparado para el éxito. ITSM gestionado por IA, y tú. **Average Rating:** 4.5/5.0 **Total Reviews:** 718 #### How Do G2 Users Rate SysAid? - **Inteligencia Artificial:** 10.0/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 9.1/10 (Category avg: 9.1/10) - **Informes:** 10.0/10 (Category avg: 8.8/10) #### Who Is the Company Behind SysAid? - **Vendedor:** [SysAid](https://www.g2.com/es/sellers/sysaid) - **Sitio web de la empresa:** www.sysaid.com - **Año de fundación:** 2002 - **Ubicación de la sede:** Toronto, Canada - **Twitter:** @sysaid 9,591 seguidores en Twitter - **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6e57e0684b7352c17bf14e10dc7aeb9f1071d8c107de0bf4a9f28d020b0f8231&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F132666%2F&secure%5Burl_type%5D=linkedin_company_website) 264 empleados en LinkedIn® #### Who Uses This Product? - **Who Uses This:** Gerente de TI, Administrador de sistemas - **Top Industries:** Tecnología de la información y servicios, Atención hospitalaria y sanitaria - **Company Size:** 60% Medium, 30% Large #### What Do G2 Reviewers Say About SysAid? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios valoran la **facilidad de uso** de SysAid, mejorando la eficiencia en la gestión de servicios de TI y tareas de soporte. - Los usuarios elogian el **excelente soporte al cliente** de SysAid que mejora sus procesos de gestión de tickets y comunicación. - Los usuarios elogian las **funciones de automatización** de SysAid por mejorar la eficiencia en la asignación de tickets y mejorar los tiempos de respuesta. - Los usuarios aprecian las **robustas características de ITSM** de SysAid, que permiten una gestión eficiente de tickets, seguimiento de activos y flujos de trabajo automatizados. - Los usuarios valoran la **gestión eficiente de tickets** en SysAid, mejorando la entrega de servicios y el seguimiento de activos sin problemas. ##### Cons - Los usuarios encuentran las **funciones faltantes** en SysAid limitantes, especialmente en lo que respecta a la funcionalidad de la API y las capacidades de generación de informes. - Los usuarios experimentan una **curva de aprendizaje pronunciada** con SysAid debido a la configuración compleja y las extensas opciones de personalización. - Los usuarios encuentran la **interfaz torpe** de SysAid desafiante, afectando la usabilidad y eficiencia en la gestión de tareas. - Los usuarios experimentan **un mal servicio de atención al cliente** con tiempos de respuesta y resolución lentos, lo que lleva a retrasos frustrantes y problemas sin resolver. - Los usuarios encuentran el **configuración compleja** de SysAid desafiante, con configuraciones difíciles y un rendimiento móvil no optimizado que obstaculiza la eficiencia. #### What Are Recent G2 Reviews of SysAid? **["SysAid satisface tus necesidades de HelpDesk"](https://www.g2.com/es/survey_responses/sysaid-review-8279742)** **Rating:** 5.0/5.0 stars _— Paul D._ [Read full review](https://www.g2.com/es/survey_responses/sysaid-review-8279742) **["Fuerte experiencia de usuario con margen para mejoras en la documentación para desarrolladores."](https://www.g2.com/es/survey_responses/sysaid-review-12829911)** **Rating:** 4.5/5.0 stars _— Barry Q._ [Read full review](https://www.g2.com/es/survey_responses/sysaid-review-12829911) #### What Are G2 Users Discussing About SysAid? - [¿Para qué se utiliza SysAid?](https://www.g2.com/es/discussions/what-is-sysaid-used-for) - 1 comment - [¿Cómo actualizo mi SysAid?](https://www.g2.com/es/discussions/how-do-i-upgrade-my-sysaid) - 1 comment - [¿Por qué elegiste el programa de gestión de servicios?](https://www.g2.com/es/discussions/why-did-you-choose-service-management-program) - 1 comment - [How much are Sysaids?](https://www.g2.com/es/discussions/how-much-are-sysaids) - [Are Sysaids free?](https://www.g2.com/es/discussions/are-sysaids-free) - 1 comment ### [Better Stack](https://www.g2.com/products/better-stack/reviews) Better Stack is an eBPF-based, AI SRE observability tool. It helps engineers ship high-quality software faster and be the hero of their engineering teams. **Average Rating:** 4.8/5.0 **Total Reviews:** 337 #### How Do G2 Users Rate Better Stack? - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.1/10) #### Who Is the Company Behind Better Stack? - **Seller:** [Better Stack](https://www.g2.com/sellers/better-stack-3c077b8c-37c5-4d79-9e19-15cf3bd1960b) - **Year Founded:** 2021 - **HQ Location:** San Francisco, CA - **Twitter:** @BetterStackHQ 10,698 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=979819b5500b293fa36195dbf4bf6aea9e2ac71cc12348a9c99e1d21028cc158&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbetterstack%2F&secure%5Burl_type%5D=linkedin_company_website) 31 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** CEO, CTO - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 88% Small, 8% Medium #### What Do G2 Reviewers Say About Better Stack? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** in Better Stack, praising its intuitive setup and reliable monitoring capabilities. - Users highlight the **easy setup** of Better Stack, appreciating its simplicity and smooth integration process. - Users praise the **excellent user interface** of Better Stack, enhancing monitoring and workflow efficiency for development teams. - Users highlight the **remarkable setup ease** of Better Stack, making it quick and intuitive to get started. - Users appreciate the **instant notifications** from Better Stack, ensuring timely responses to downtime issues and proactive incident management. ##### Cons - Users find the pricing of Better Stack to be **expensive** after the free tier limits, particularly for custom features. - Users are frustrated by the **missing features** like Discord integration and restrictions on website ownership changes. - Users find the **pricing issues** problematic after exceeding free tier limits, with higher costs for advanced features. - Users find Better Stack has **limited features** , such as delayed custom domain support and lack of dashboard options. - Users find the **log management challenging** , struggling with UI navigation and occasional failures in log collection. #### What Are Recent G2 Reviews of Better Stack? **["Essential Free Tool for Effortless Website Monitoring"](https://www.g2.com/survey_responses/better-stack-review-13077620)** **Rating:** 4.5/5.0 stars _— Verified User in Online Media_ [Read full review](https://www.g2.com/survey_responses/better-stack-review-13077620) **["Better Stack Simplifies Monitoring, Alerting, and Logs with Fast, Reliable Outage Detection"](https://www.g2.com/survey_responses/better-stack-review-12954208)** **Rating:** 4.5/5.0 stars _— Ravindra N._ [Read full review](https://www.g2.com/survey_responses/better-stack-review-12954208) #### What Are G2 Users Discussing About Better Stack? - [Which tools can you use to monitor a website's Uptime?](https://www.g2.com/discussions/which-tools-can-you-use-to-monitor-a-website-s-uptime) - [What is Hexometer browser?](https://www.g2.com/discussions/better-uptime-what-is-hexometer-browser) - [What is betteruptime?](https://www.g2.com/discussions/what-is-betteruptime) - [Is better Uptime free?](https://www.g2.com/discussions/is-better-uptime-free) - 7 comments, 1 upvote ### [PagerDuty](https://www.g2.com/products/pagerduty/reviews) PagerDuty helps organizations of all sizes deliver seamless digital experiences by providing real-time insights and automation through the PagerDuty Operations Cloud. Designed to manage critical incidents, PagerDuty enables teams to detect, assess, and resolve issues faster, preventing downtime and ensuring business continuity. Key Features and Product Functionality PagerDuty Operations Cloud is the heart of our platform, providing proactive incident response, on-call management, automated workflows, and AI-powered insights. With seamless integrations to over 700 tools, including monitoring and collaboration platforms, PagerDuty helps teams centralize their operations to improve service reliability and avoid disruption. What Makes us Different PagerDuty empowers teams to solve critical problems quickly and efficiently, enhancing operational resilience and improving overall performance. Trusted by leading organizations, the Operations Cloud is uniquely built to handle the complexities of today’s digital businesses. Our ability to deliver real-time incident resolution sets us apart, giving IT leaders and CIOs the confidence to maintain always-on services. Get Started Experience the power of the PagerDuty Operations Cloud. Learn more and start your free trial at www.pagerduty.com/free-trial **Average Rating:** 4.5/5.0 **Total Reviews:** 950 #### How Do G2 Users Rate PagerDuty? - **Systems Monitoring:** 9.7/10 (Category avg: 9.0/10) - **Artificial Intelligence:** 9.6/10 (Category avg: 8.6/10) - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Reporting:** 9.4/10 (Category avg: 8.8/10) #### Who Is the Company Behind PagerDuty? - **Seller:** [PagerDuty](https://www.g2.com/sellers/pagerduty) - **Company Website:** www.pagerduty.com - **Year Founded:** 2009 - **HQ Location:** San Francisco, CA - **Twitter:** @pagerduty 24,689 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=939d4e3ae38c9948c223fac14287559f3202cb25d6188d5a010904c292c7c1f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F482819%2F&secure%5Burl_type%5D=linkedin_company_website) 1,267 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Medium, 38% Large #### What Do G2 Reviewers Say About PagerDuty? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **automated and priority-based notifications** from PagerDuty, enhancing incident response and reducing resolution time. - Users value the **automated and priority-based notifications** of PagerDuty, ensuring timely responses and reducing downtime. - Users praise the **ease of integration and reliable management** of alerts with PagerDuty's intuitive features. - Users appreciate the **ease of use** of PagerDuty, enjoying intuitive features and seamless incident management. - Users value the **easy integrations** with various tools like Slack and AWS, enhancing collaboration and incident management. ##### Cons - Users find the **alert issues** in PagerDuty lead to confusion and limits on workflow customization, impacting efficiency. - Users find the **pricing to be high** , especially for small teams and features that should be included in one plan. - Users find the **complexity of the interface** in PagerDuty challenging, particularly for new users navigating the system. - Users often find the **inefficient alert system** overwhelming, leading to unnecessary disruptions and complexity in management. - Users find the **UI complex** and sometimes clunky, especially challenging for new users navigating through it. #### What Are Recent G2 Reviews of PagerDuty? **["Stay on top of your incident management alerts on the Go!"](https://www.g2.com/survey_responses/pagerduty-review-9920149)** **Rating:** 4.5/5.0 stars _— Joshua O._ [Read full review](https://www.g2.com/survey_responses/pagerduty-review-9920149) **["Technical efficiency approach"](https://www.g2.com/survey_responses/pagerduty-review-12856233)** **Rating:** 4.0/5.0 stars _— Johnny C._ [Read full review](https://www.g2.com/survey_responses/pagerduty-review-12856233) #### What Are G2 Users Discussing About PagerDuty? - [What is PagerDuty used for?](https://www.g2.com/discussions/what-is-pagerduty-used-for) - 2 comments - [Who are PagerDuty competitors?](https://www.g2.com/discussions/who-are-pagerduty-competitors) - [How much does PagerDuty cost?](https://www.g2.com/discussions/how-much-does-pagerduty-cost) - 1 comment - [Who uses PagerDuty?](https://www.g2.com/discussions/who-uses-pagerduty) - [What is PagerDuty software?](https://www.g2.com/discussions/what-is-pagerduty-software) - ‹ Prev ‹ Prev - 1 - [2](/categories/aiops-platforms?order=g2_score&page=2#product-list) - [3](/categories/aiops-platforms?order=g2_score&page=3#product-list) - [4](/categories/aiops-platforms?order=g2_score&page=4#product-list) - [5](/categories/aiops-platforms?order=g2_score&page=5#product-list) - … - [8](/categories/aiops-platforms?order=g2_score&page=8#product-list) - [9](/categories/aiops-platforms?order=g2_score&page=9#product-list) - [Next › Next ›](/categories/aiops-platforms?order=g2_score&page=2#product-list) Spotlight Categories [Sales Engagement Software](https://www.g2.com/categories/sales-engagement) [Employee Recognition Software](https://www.g2.com/categories/employee-recognition) [Background Check Software](https://www.g2.com/categories/background-check) [Customer Communications Management Software](https://www.g2.com/categories/customer-communications-management) [Employer of Record (EOR) Software](https://www.g2.com/categories/employer-of-record-eor) Similar Categories - [Infrastructure as a Service (IaaS)](/categories/infrastructure-as-a-service-iaas) - [Active Metadata Management](/categories/active-metadata-management) - [Address Verification](/categories/address-verification) - [Application Server](/categories/application-server) - [Blockchain](/categories/blockchain) - [Cloud File Storage](/categories/cloud-file-storage) - [Database Software](/categories/database-software) - [Data Center Infrastructure Management (DCIM)](/categories/data-center-infrastructure-management-dcim) - [Data Center Networking](/categories/data-center-networking) - [Data Exchange Platforms](/categories/data-exchange-platforms) - [Data Fabric](/categories/data-fabric) - [Data Integration Tools](/categories/data-integration-tools) - [Data Management Software](/categories/data-management-software) - [Data Mapping](/categories/data-mapping) - [DataOps Platforms](/categories/dataops-platforms) [Browse AIOps Platforms Themes](/categories/aiops-platforms/themes) ![Tian Lin](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Tian Lin") TL Researched and written by [Tian Lin](https://research.g2.com/insights/author/tian-lin) Updated April 9, 2026 AIOps platforms leverage artificial intelligence and machine learning to automate and optimize IT operations, accelerating issue identification, improving root cause analysis (RCA) accuracy, and reducing time to resolution to support better service level agreement (SLA) adherence. ### Core Capabilities of AIOps Platforms To qualify for inclusion in the AIOps category, a product must: - Leverage AI and/or machine learning to analyze large volumes of data - Monitor and analyze data from multiple types of systems - Proactively and reactively identify issues - Aid or guide the issue resolution process - Integrate with a variety of IT systems ### Common Use Cases for AIOps Platforms IT operations teams use AIOps platforms to move from reactive to proactive infrastructure management. Common use cases include: - Automating performance monitoring, workload scheduling, and data backup - Correlating events across systems to reduce alert noise and surface root causes - Predicting system behavior to prevent incidents before they escalate ### How AIOps Platforms Differ from Other Tools AIOps software combines [machine learning (ML)](https://www.g2.com/articles/what-is-machine-learning), [natural language processing (NLP)](https://www.g2.com/articles/natural-language-processing), and other advanced AI methods to provide proactive, real-time insights tailored to specific IT environments. By nature of their functions, AIOps tools are commonly integrated with [incident management](https://www.g2.com/categories/incident-management), [service desk](https://www.g2.com/categories/service-desk), and [log analysis](https://www.g2.com/categories/log-analysis) solutions. Many AIOps platforms incorporate these functionalities directly to consolidate troubleshooting resources into a unified environment. ### Insights from G2 on AIOps Platforms Based on category trends on G2, proactive issue detection and event correlation stand out as the most impactful capabilities. These platforms deliver reductions in manual intervention and faster incident resolution as primary outcomes of AIOps adoption. Top Tools at a Glance | Product | Best for | User Review | | --- | --- | --- | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_da836c06c61c98d4a0795c7cfc3a9a5a/servicenow-it-operations-management.jpg "Product Avatar Image")](https://www.g2.com/products/servicenow-it-operations-management/reviews)[ServiceNow IT Operations...](https://www.g2.com/products/servicenow-it-operations-management/reviews)[4.4/5(474)](https://www.g2.com/products/servicenow-it-operations-management/reviews) | Enterprise AIOps tied to ITSM workflows | "ServiceNow ITOM: Transforming IT Operations with AI‑Driven Intelligence" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_7550bcff45895b9a0bd1ebb5c48260a6/atera.png "Product Avatar Image")](https://www.g2.com/products/atera/reviews)[Atera](https://www.g2.com/products/atera/reviews)[4.6/5(1,247)](https://www.g2.com/products/atera/reviews) | AIOps for IT teams managing distributed remote endpoints | "Easy-to-Use RMM With Strong Patching, Scripting, and a Central Device View" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_24bb2b0b5af8e7d875ea09d767bcb097/ibm-instana.jpg "Product Avatar Image")](https://www.g2.com/products/ibm-instana/reviews)[IBM Instana](https://www.g2.com/products/ibm-instana/reviews)[4.4/5(481)](https://www.g2.com/products/ibm-instana/reviews) | Automatic application observability for cloud-native environments | "Comprehensive Monitoring, Steep Learning Curve" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_044cfbf6c03d107e5357e29e95fd9136/dynatrace.png "Product Avatar Image")](https://www.g2.com/products/dynatrace/reviews)[Dynatrace](https://www.g2.com/products/dynatrace/reviews)[4.5/5(1,366)](https://www.g2.com/products/dynatrace/reviews) | Causal AI for root-cause identification across full stack | "Comprehensive Observability, Excellent AI, but Complex Pricing" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_393746d0cdc8904473bde59b5858158e/datadog.png "Product Avatar Image")](https://www.g2.com/products/datadog/reviews)[Datadog](https://www.g2.com/products/datadog/reviews)[4.4/5(726)](https://www.g2.com/products/datadog/reviews) | Unified observability with AI anomaly detection | "Faster incident detection and root-cause analysis, leading to better customer experience." | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_439b7a69632e7b0ee0bfbd6b170bef7a/rakuten-sixthsense-observability.png "Product Avatar Image")](https://www.g2.com/products/rakuten-sixthsense-observability/reviews)[Rakuten SixthSense...](https://www.g2.com/products/rakuten-sixthsense-observability/reviews)[4.6/5(53)](https://www.g2.com/products/rakuten-sixthsense-observability/reviews) | APM-focused observability for distributed systems | "A very good SAAS monitoring & observability tool" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_efc73ea2af3c716b00bb3cd168baa5e4/elastic-observability.png "Product Avatar Image")](https://www.g2.com/products/elastic-observability/reviews)[Elasticsearch](https://www.g2.com/products/elastic-observability/reviews)[4.2/5(92)](https://www.g2.com/products/elastic-observability/reviews) | OpenTelemetry-native observability on the Elastic stack | "APM is a Game-Changer for GKE Infrastructure" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_0774bbdcf32251601a1995c6b97543fb/new-relic.jpg "Product Avatar Image")](https://www.g2.com/products/new-relic/reviews)[New Relic](https://www.g2.com/products/new-relic/reviews)[4.4/5(586)](https://www.g2.com/products/new-relic/reviews) | Developer-focused performance insight | "New Relic User Experience Review" | * * * Show More ### AIOps Platforms Topics - [AIOps Platforms software buying insights at a glance](#aiops-platforms-software-buying-insights-at-a-glance) - [What are the top-reviewed AIOps Platforms on G2?](#what-are-the-top-reviewed-aiops-platforms-on-g2) - [What I Often See in AIOps Platforms](#what-i-often-see-in-aiops-platforms) - [My Expert Takeaway on AIOps Platforms in 2026](#my-expert-takeaway-on-aiops-platforms-in-2026) - [AIOps Platforms FAQs](#aiops-platforms-faqs) [ ### AIOps Platforms Topics Expand/Collapse ](#) - [AIOps Platforms software buying insights at a glance](#aiops-platforms-software-buying-insights-at-a-glance) - [What are the top-reviewed AIOps Platforms on G2?](#what-are-the-top-reviewed-aiops-platforms-on-g2) - [What I Often See in AIOps Platforms](#what-i-often-see-in-aiops-platforms) - [My Expert Takeaway on AIOps Platforms in 2026](#my-expert-takeaway-on-aiops-platforms-in-2026) - [AIOps Platforms FAQs](#aiops-platforms-faqs) ## Learn More About AIOps Tools ### AIOps Platforms software buying insights at a glance Modern IT environments generate enormous volumes of operational data across infrastructure, applications, and cloud services. [AIOps platforms](https://www.g2.com/categories/aiops-platforms) apply machine learning and automation to analyze that data in real time, helping IT and [DevOps](https://www.g2.com/categories/devops) teams detect anomalies, correlate alerts, and resolve incidents faster. By combining telemetry from logs, metrics, traces, and infrastructure signals, AIOps software helps teams move from reactive monitoring to proactive operations. In practice, these platforms act as a decision layer for IT operations—turning massive volumes of performance data into prioritized insights that help teams understand what's happening across complex environments and respond before issues escalate. As cloud-native architectures, microservices, and distributed systems become the norm, AIOps platforms are becoming increasingly essential for teams responsible for uptime and performance. Buyers often adopt AIOps solutions to reduce alert fatigue, accelerate root-cause analysis, and maintain visibility across sprawling infrastructure environments. Instead of manually investigating thousands of monitoring signals, teams use automation and AI to surface the most relevant issues and recommend remediation steps. Buyer searches converge on one phrasing: the best AIOps platforms for DevOps and distributed systems MTTR reduction. Recent reviews back that framing directly. Administrators describe these platforms cutting mean time to resolution by correlating metrics, logs, and traces in one place, and DevOps engineers in distributed, multi-cloud environments report alert volumes dropping by more than half once dynamic thresholds replace static ones. Based on G2 reviews, administrators, day-to-day users, and consultants evaluate AIOps platforms by comparing alert correlation and noise reduction, automated root-cause analysis, and the implementation and tuning effort the platform demands before it delivers. Based on G2 reviews, products in this category receive strong satisfaction scores overall, with an average star rating of 4.63 out of 5 and an average likelihood to recommend of 9.26 out of 10. Reviewers also report strong usability scores, with ease of use averaging 5.17 and ease of setup 5.03, suggesting many of the best AIOps tools are becoming more accessible to DevOps and IT operations teams. The biggest buying pattern I see is that organizations evaluating AIOps platforms are looking for two things at once: deeper visibility into complex systems and [automation](https://www.g2.com/categories/professional-services-automation) that reduces the time to detect and resolve incidents. That's why the best AIOps tools are often evaluated not just on monitoring capabilities, but also on how well they correlate signals, surface actionable insights, and integrate with existing observability and [incident management](https://www.g2.com/categories/incident-management) workflows. Organizations use AIOps platforms to detect anomalies across infrastructure, applications, and networks in real time while automating root-cause analysis to resolve incidents faster. They also help reduce alert noise through correlation, optimize cloud resource allocation, and provide predictive insights that allow teams to prevent outages before they impact users. Pricing for AIOps software varies widely depending on data volume, deployment scale, and automation capabilities. Entry-level solutions typically start with usage-based or node-based pricing, while enterprise AIOps solutions often use custom pricing based on telemetry ingestion, integrations, and automation features. Organizations evaluating the best AIOps tools should consider long-term operational value, including reduced downtime, fewer manual troubleshooting hours, and improved infrastructure efficiency. #### Top 5 FAQs from software buyers: - What are AIOps platforms and how do they improve IT operations? - How do AIOps solutions reduce alert noise and incident response times? - What features should I look for in the best AIOps tools? - How does AIOps software integrate with existing monitoring and observability platforms? - What are the implementation challenges of deploying AIOps platforms? G2's top-rated AIOps platforms software, based on verified user reviews, includes [Atera](https://www.g2.com/products/atera/reviews), [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews), [IBM Instana](https://www.g2.com/products/ibm-instana/reviews), and [Dynatrace](https://www.g2.com/products/dynatrace/reviews). ### What are the top-reviewed AIOps Platforms on G2? [Atera](https://www.g2.com/products/atera/reviews) - Number of Reviews: 316 - Satisfaction Score: 100 - Market Presence Score: 72 - G2 Score: 86 [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) - Number of Reviews: 74 - Satisfaction Score: 74 - Market Presence Score: 98 - G2 Score: 86 [IBM Instana](https://www.g2.com/products/ibm-instana/reviews) - Number of Reviews: 109 - Satisfaction Score: 68 - Market Presence Score: 93 - G2 Score: 80 [Dynatrace](https://www.g2.com/products/dynatrace/reviews) - Number of Reviews: 808 - Satisfaction Score: 66 - Market Presence Score: 94 - G2 Score: 80 [Datadog](https://www.g2.com/products/datadog/reviews) - Number of Reviews: 99 - Satisfaction Score: 56 - Market Presence Score: 84 - G2 Score: 70 Satisfaction score reflects how positively users rate and feel about a product based on review-driven signals (beyond just a star average). ([Source 2](https://www.g2.com/reports)) Market Presence score reflects a product's reach and strength in the market using signals like market share, seller size, and broader visibility/impact indicators. ([Source 2](https://www.g2.com/reports)) G2 Score is calculated as a proprietary composite that (in simplified terms) averages Satisfaction and Market Presence to rank products within a category. ([Source 2](https://www.g2.com/reports)) Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies)) ### What I Often See in AIOps Platforms #### Feedback Pros: What Users Consistently Appreciate - Real-time anomaly detection with end-to-end system performance visibility _"Dynatrace provides deep, AI-driven monitoring and observability across hybrid and multi-cloud environments, with excellent end-to-end visibility. Its AI engine automatically detects anomalies, reduces noise, and delivers clear root-cause insights. The Dynatrace interface is clean, the topology mapping is incredibly accurate, and the single-agent deployment makes onboarding very easy."_ _-_ [_Lokesha K._](https://www.g2.com/products/dynatrace/reviews/dynatrace-review-12223944)\*\*, Dynatrace Review\* - User-friendly dashboards simplifying monitoring across complex distributed environments _"Datadog gives us a single observability layer that ties metrics, logs, traces, and AI-driven insights together. What I like most is how fast it is to instrument new services, define custom metrics, and build dashboards that actually help teams make decisions. We also use Datadog extensively for deploying internal AI agents—its event streams, log ingestions, and metric pipelines make it easy to create intelligent triggers and automated workflows. The correlation between logs → metrics → alerts is incredibly powerful, and the AI-based anomaly detection has helped us reduce blind spots in our observability stack."_ _-_ [_Ajay V._](https://www.g2.com/products/datadog/reviews/datadog-review-12011820)\*\*, Datadog Review\* - Automated insights that reduce troubleshooting time across infrastructure layers _"Best about ServiceNow IT Operations Management is how it brings everything together in one place—from real-time infrastructure visibility to automated workflows. It cuts through alert noise, helps spot issues before they impact users, and saves a lot of time with smart automation. It just makes IT operations feel more in control and less reactive. Integration connection support is broader and easier to use. Can use day-to-day process automation and tasks."_ _-_ [_Anil P._](https://www.g2.com/products/servicenow-it-operations-management/reviews/servicenow-it-operations-management-review-11494216)\*\*, ServiceNow IT Operations Management\* #### Cons: Where Many Platforms Fall Short - Steep learning curve for new users configuring advanced features _"The initial implementation can be complex. Discovery tuning, CMDB cleanup, and event correlation rules require careful planning. If the data foundation is not clean, the value of ITOM decreases quickly. Licensing and overall cost can also be significant, particularly for mid-sized organizations. It's powerful, but it's not lightweight. There's also a learning curve. Administrators need proper training to fully leverage automation and event management capabilities."_ _-_ [_Dharamveer p_](https://www.g2.com/products/servicenow-it-operations-management/reviews/servicenow-it-operations-management-review-12414550)\*\*., ServiceNow IT Operations Management\* - Complex initial setup requiring significant configuration across monitoring sources _"If I had to point out the area of improvement, the integration with non-IBM products can feel a bit restrictive compared to its seamless support for the IBM ecosystem. When we try to bring in third-party or custom black box applications, the setup requires more manual heavy lifting than the plug-and-play experience we get with native IBM tools. Additionally, the notification system can be a bit overwhelming if you don't spend a significant amount of time fine-tuning your alert threshold and smart alerts. You can quickly find yourself dealing with a noisy volume of warnings that aren't all machine critical, which can lead to alert fatigue for on-call technicians."_ _-_ [_Andrea F._](https://www.g2.com/products/ibm-instana/reviews/ibm-instana-review-12278638)\*\*, IBM Instana Review\* - Interface complexity when navigating large volumes of operational data _"User interface contains an overwhelming amount of features that make it difficult to navigate through. Categorization is often innacurate and causes problems with finding specific logs. Time-frame functionalities are often buggy and unreliable. It's unclear how to integrates bugs from application in development to DataDog log system."_ _-_ [_Aviv Y_](https://www.g2.com/products/datadog/reviews/datadog-review-11173766)\*\*., Datadog Review\* ### My Expert Takeaway on AIOps Platforms in 2026 Based on G2 reviews, products in the AIOps platforms category perform strongly across the indicators that typically signal real operational value. Reviewers report an average star rating of 4.63/5 and a likelihood-to-recommend score of 9.26/10, alongside solid usability metrics, including 5.17 for ease of use and 5.03 for ease of setup. That combination suggests most teams see measurable benefits once their AIOps software is implemented and integrated into daily monitoring workflows. Where high-performing teams stand out is in how they operationalize automation and observability data. Organizations that get the most value from AIOps solutions tend to treat them as part of a broader observability strategy rather than a standalone monitoring tool. They connect telemetry sources across logs, metrics, and traces, configure alert correlation and automation rules, and continuously refine anomaly detection thresholds so teams can focus on the incidents that truly matter. I also see stronger adoption patterns among organizations operating at large digital scale—particularly in industries like financial services, SaaS, and e-commerce—where engineering teams manage distributed systems and large volumes of telemetry. In these environments, the best AIOps tools help teams surface meaningful signals from noisy monitoring data and prioritize the most impactful incidents before they affect users. If you're evaluating whether AIOps platforms are the right investment, I recommend focusing on three early indicators: how well the platform correlates alerts across your monitoring stack, how quickly teams can identify root causes using automated insights, and whether the AIOps software integrates cleanly with your existing observability and incident management workflows. Teams that validate these areas early typically see faster incident resolution and more proactive operations. ### AIOps Platforms FAQs #### Most Popular FAQs **Which AIOps platforms have the best reviews?** Better Stack, OpsPilot, Atera, and Site24x7 hold the strongest combinations of rating and review base in this category: - [Better Stack](https://www.g2.com/products/better-stack): Rated 4.8 stars across 331 reviews, the highest rating among mid-size review bases in the category. - [OpsPilot](https://www.g2.com/products/opspilot): Rated 4.8 stars across 180 reviews. - [Atera](https://www.g2.com/products/atera): Rated 4.6 stars across 1,231 reviews, the largest base at that rating, though its reviews span RMM and helpdesk use as much as AIOps, so read the category-tagged reviews. - [Site24x7](https://www.g2.com/products/site24x7): Rated 4.6 stars across 441 reviews. [Dynatrace](https://www.g2.com/products/dynatrace) carries the category's largest overall base at 1,366 reviews and 4.5 stars. **What are AIOps use cases versus MLOps use cases?** AIOps applies machine learning to IT operations data, correlating alerts, finding root causes, and predicting incidents, while MLOps is the discipline of deploying and maintaining machine learning models themselves. The buyers differ: AIOps serves IT operations, SRE, and DevOps teams running infrastructure, and recent reviews show what that looks like in practice, from [BigPanda](https://www.g2.com/products/bigpanda) reviewers correlating alerts across monitoring tools to [LogicMonitor](https://www.g2.com/products/logicmonitor) reviewers forecasting capacity problems before they land. MLOps serves data science teams shipping models, which is a separate G2 category entirely. The confusion is understandable since both put "ops" after an AI term, but evaluating an AIOps platform on MLOps criteria, or the reverse, wastes a procurement cycle. If your goal is fewer outages and faster incident resolution, you are shopping in this category. **Which AIOps platforms are best for predictive IT operations?** The platforms best for predictive IT operations show prediction in recent reviews as prevented incidents rather than dashboards, and two products carry the most concrete forecasting evidence. Based on G2 reviews: - [LogicMonitor](https://www.g2.com/products/logicmonitor): Reviewers describe predictive forecasting with a configurable training window of 30 or 90 days that projects metric trends forward, letting teams see where a resource is heading before it becomes an incident. - [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management): Reviewers cite predictive insights alongside event correlation as what shifts IT operations from reactive firefighting to proactive work, with issues resolved before they reach users. The counterweight is data appetite: ServiceNow reviewers say the AI depends heavily on high-quality data and the right configuration and can generate false positives early on, and one LogicMonitor reviewer notes CSV exports include only historical raw data, not the forecasted points. Judge predictive claims by asking vendors for a customer example where a forecast prevented a real incident. **What are the biggest challenges when implementing an AIOps platform?** Recent reviews converge on three challenges: Data quality, tuning effort, and cost predictability. This question reflects a dominant pattern across search results for this category rather than a single source. - **Data quality:** [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management) reviewers are blunt that dirty CMDB data, duplicates, and missing relationships degrade AI accuracy quickly, with early deployments generating false positives until configuration matures. - **Tuning effort:** [IBM Instana](https://www.g2.com/products/ibm-instana) reviewers describe noisy warning volumes until alert thresholds are fine-tuned, and [PagerDuty](https://www.g2.com/products/pagerduty) reviewers report duplicate pages until grouping rules are dialed in. - **Cost predictability:** [Dynatrace](https://www.g2.com/products/dynatrace) reviewers call consumption-based pricing hard to forecast as telemetry grows, and [Datadog](https://www.g2.com/products/datadog) reviewers describe log ingestion costs that need ongoing governance. **Which AIOps platforms are best for monitoring?** [Dynatrace](https://www.g2.com/products/dynatrace/reviews) is widely used for full-stack monitoring across cloud and microservices environments using AI-driven analytics. [Datadog](https://www.g2.com/products/datadog/reviews) provides unified monitoring across metrics, logs, and traces, making it popular for cloud-native environments. [IBM Instana](https://www.g2.com/products/ibm-instana/reviews) focuses on automatic application discovery and real-time performance monitoring for distributed systems. **Who provides the best AIOps in networking?** [Datadog](https://www.g2.com/products/datadog/reviews) helps teams track network traffic, service dependencies, and infrastructure health through real-time telemetry data. [Dynatrace](https://www.g2.com/products/dynatrace/reviews) applies AI-driven analytics to correlate signals across network, infrastructure, and applications to quickly pinpoint root causes of issues. [Atera](https://www.g2.com/products/atera/reviews) focuses on AI-powered monitoring and automation for IT teams managing endpoints, networks, and remote infrastructure. **Will AIOps replace DevOps?** AIOps is designed to support DevOps teams rather than replace them by automating operational analysis and incident detection. For example, [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) helps teams automate event correlation and incident response across IT environments, while [Dynatrace](https://www.g2.com/products/dynatrace/reviews) provides AI-driven insights that help engineers identify issues faster. In practice, AIOps reduces manual monitoring work while DevOps teams focus on building, deploying, and improving systems. **Which AIOps software integrates with DevOps workflows?** [Datadog](https://www.g2.com/products/datadog/reviews) integrates with CI/CD tools and cloud platforms to monitor deployments and performance changes. [Dynatrace](https://www.g2.com/products/dynatrace/reviews) connects with Kubernetes, Jira, and collaboration tools to automate alerting and root-cause analysis. [IBM Instana](https://www.g2.com/products/ibm-instana/reviews) provides real-time observability for containerized and microservices environments used in modern DevOps pipelines. **Which AIOps platforms are best for early issue detection?** Recent reviews give consistent answers on which platforms deliver early issue detection, catching problems before users feel them: - [Site24x7](https://www.g2.com/products/site24x7/reviews): Reviewers describe AI anomaly detection that spots issues before they take systems down and can trigger automatic fixes such as restarting a frozen server. - [Dynatrace](https://www.g2.com/products/dynatrace/reviews): Reviewers say real-time monitoring, automatic dependency mapping, and proactive alerting make it easier to detect problems early, with the Davis AI engine pinpointing performance bottlenecks before they impact end users. - [New Relic](https://www.g2.com/products/new-relic): Reviewers credit real-time monitoring and alerting with catching issues the moment they begin, so teams detect and resolve problems before they reach end users. - [LogicMonitor](https://www.g2.com/products/logicmonitor/reviews): One DevOps team reports weekly alert volume falling from 400 to 150 actionable alerts after replacing static thresholds with dynamic ones, which keeps genuine early warnings from drowning in noise. The counterweight is that early detection is earned, not installed, with Site24x7 reviewers warning that default settings are oversensitive and flood on-call engineers with false alarms until heavily customized and LogicMonitor reviewers describing alarm storms when starting thresholds go untuned: Budget tuning time into the first month of any deployment, and measure detection value by incidents caught before user impact, not by alert volume. **Which AIOps platforms do users rate as most trusted in their reviews?** Trust in this category means something specific: Believing the platform when it says what broke. - [Dynatrace](https://www.g2.com/products/dynatrace/reviews): Earns the most explicit trust language in recent reviews, with users describing its Davis AI as explaining why something went wrong rather than merely flagging it, delivering a single answer instead of a hundred confusing alerts. - [PagerDuty](https://www.g2.com/products/pagerduty/reviews): Reviewers call it dependable in the way that matters at 3 a.m., with alerts that consistently reach the right on-call engineer. - [BigPanda](https://www.g2.com/products/bigpanda/reviews): Reviewers describe correlation that shows the sequence of events, such as a network switch dropping, then a database timing out, then the application failing, which ends finger pointing. The counterweight is that trust is conditional, with [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) reviewers noting its AI depends heavily on clean data and can generate false positives early on, and some [Coralogix](https://www.g2.com/products/coralogix/reviews) reviewers describing buggy releases that eroded their confidence even as others praise its anomaly detection: Ask each vendor's references how often their team acts on a named root cause without re-verifying. **Which are the top AIOps platforms for Java application monitoring?** As per the vendors, three platforms instrument Java and JVM-based applications through their standard agents, and what reviews establish is how deep each goes once instrumented: - [Dynatrace](https://www.g2.com/products/dynatrace/reviews): Reviewers describe OneAgent deployment that delivers code-level, full-stack insight with automatic dependency mapping, though they also describe steep training investment and documentation that lags some frameworks. - [IBM Instana](https://www.g2.com/products/ibm-instana/reviews): Reviewers describe automatic discovery that traces every request and builds real-time service maps that make complex microservices environments legible, though the interface feels dense while learning which view answers which question. - [New Relic](https://www.g2.com/products/new-relic/reviews): Reviewers call distributed tracing the feature that pinpoints latency across services. Run the trial agent against one production-representative Java service and score each platform on how fast a new team member can go from alert to offending method. Note: Recent reviews in this category rarely name Java explicitly, so this answer combines what reviewers say about application-level monitoring depth with vendor-stated language support, and it is labeled accordingly **Which AIOps platforms provide explainable root cause analysis and avoid AI hallucinations?** Explainable root cause analysis is the difference between an AI verdict that a team acts on and one it re-verifies from scratch, and on the hallucination side, reviews report the risk as miscorrelation rather than fabrication: - [Dynatrace](https://www.g2.com/products/dynatrace/reviews): Reviewers give the strongest explainability evidence in recent reviews, with Davis AI explaining why an issue occurred, pinpointing the exact root cause, and replacing a flood of alerts with one answer, backed by topology mapping that reviewers call incredibly accurate. - [BigPanda](https://www.g2.com/products/bigpanda/reviews): Reviewers describe seeing the causal sequence itself, which component failed first and what it took down next. - [IBM Instana](https://www.g2.com/products/ibm-instana/reviews): Reviewers say real-time dependency maps and transaction traces let them move from a high-level alert to the specific service or request at fault, though one reviewer cautions against depending too much on AI analytics for decisions. On miscorrelation, [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) reviewers say AI outcomes degrade to false positives when CMDB data is dirty, and [Datadog](https://www.g2.com/products/datadog/reviews) reviewers call its anomaly detection basic and note teams still spend time interpreting what action to take: Demand a live demo on your own messy telemetry, and ask the vendor to show the evidence trail behind one root-cause verdict. **Which AIOps platforms integrate with ITSM tools for automatic incident creation?** The event-to-ticket handoff is where AIOps value becomes measurable, and recent reviews name the working ITSM integration paths for automatic incident creation: - [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews): Reviewers describe the tightest loop, with operational events linking directly to incidents and integrations with monitoring tools like Azure Monitor and SolarWinds centralizing alerts and creating incidents automatically, removing constant manual watching. - [PagerDuty](https://www.g2.com/products/pagerduty/reviews): Reviewers describe alerts flowing into Slack for immediate triage and Jira tickets created or updated from the incident itself, part of an integration catalog reviewers put at over 700 tools. - [BigPanda](https://www.g2.com/products/bigpanda/reviews): Reviewers cite ServiceNow and Datadog integrations that turn correlated alerts into single actionable incidents. - [LogicMonitor](https://www.g2.com/products/logicmonitor/reviews): Reviewers call ITSM integration easy, with alerts reaching PagerDuty and Slack immediately. The counterweight is automation amplifying mess, with PagerDuty reviewers reporting a single incident spawning duplicate pages from related resources until grouping rules are tuned and ServiceNow reviewers tying incident accuracy to CMDB hygiene: Pilot the integration with one service, and count duplicate and false tickets per week as your acceptance metric. #### Small Business FAQs Small business reviewers wrote 56 of the 358 reviews G2 collected across leading products in this category in the past year, a small share of an enterprise-weighted category. The [small business AIOps platforms segment page](https://www.g2.com/categories/aiops-platforms/small-business) filters ratings to that group. **What is the most affordable AIOps platform for small businesses?** Affordability in this category hinges on the pricing unit, not the list price: - [Atera](https://www.g2.com/products/atera): Draws the strongest small team cost praise because it prices per technician rather than per device, which MSP reviewers say scales predictably as managed endpoints grow. - [LogicMonitor](https://www.g2.com/products/logicmonitor): Reviewers report per-device pricing where short-lived containers consume license quota, inflating bills beyond forecasts. - [PagerDuty](https://www.g2.com/products/pagerduty): Reviewers across segments call per-user costs steep, with AIOps features locked behind higher tiers. - [Site24x7](https://www.g2.com/products/site24x7): Reviewers describe add-on-heavy billing where an affordable base price escalates with extra logs and monitors. **Which AIOps platform is the most user-friendly for small teams?** For small teams, the most user-friendly AIOps platforms are the ones reviewers say new technicians can learn quickly: - [Atera](https://www.g2.com/products/atera): Earns the most consistent ease-of-use marks from small teams, with reviewers describing an intuitive interface, quick onboarding, and new technicians getting productive without weeks of training. - [BigPanda](https://www.g2.com/products/bigpanda): Reviewers rate initial setup as straightforward. - [Coralogix](https://www.g2.com/products/coralogix): Reviewers call setup easy and fast. Some Site24x7 reviewers describe a dated, cluttered interface, and LogicMonitor reviewers say custom monitoring requires learning Groovy scripting. **Do small businesses need a full AIOps platform or is monitoring enough?** Usually monitoring plus reliable alerting comes first: Small teams in recent reviews get their initial wins from consolidated visibility and dependable paging rather than AI correlation. Small business [PagerDuty](https://www.g2.com/products/pagerduty) reviewers focus on alerts reaching the right person and Slack-based triage, and small business [Atera](https://www.g2.com/products/atera) reviewers describe remote monitoring, ticketing, and automation in one platform as the value, with AI features arriving as an add-on benefit. The structural catch is that AI capabilities often sit behind volume or tier gates: One Atera reviewer notes its AI assistant is only available starting at larger user counts, and PagerDuty reviewers report AIOps grouping locked to pricier plans. Start with the monitoring and alerting layer, prove the on-call workflow, and add AI correlation when alert volume, not marketing, demands it. #### Enterprise FAQs **What is the best-rated AIOps platform for enterprises?** Enterprise reviewers wrote 165 of the 358 reviews G2 collected across leading products in this category in the past year, the largest segment share, and the [enterprise AIOps platforms segment page](https://www.g2.com/categories/aiops-platforms/enterprise) filters ratings to that group: - [Dynatrace](https://www.g2.com/products/dynatrace): 4.5 stars across 1,366 reviews, with the most consistent enterprise praise for Davis AI root-cause analysis and single-agent deployment across hybrid and multi-cloud estates. - [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management): 4.4 stars across 450 reviews, anchoring the event-management-plus-ITSM pattern enterprises describe. - [BigPanda](https://www.g2.com/products/bigpanda): 4.5 stars across 125 reviews, the pure-play correlation layer enterprise reviewers describe feeding from their existing monitoring tools. **How should enterprises evaluate AIOps platforms?** Based on recent G2 reviews, enterprises should evaluate the following in AIOps platforms: - **Data consistency:** [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management) reviewers tie AI accuracy directly to CMDB quality, with duplicates and missing relationships degrading visibility and producing false positives. - **Rollout friction:** ServiceNow reviewers describe complex, time-consuming implementations needing skilled resources, and [PagerDuty](https://www.g2.com/products/pagerduty) reviewers report escalation policies and grouping rules that demand ongoing maintenance as teams change. - **Cost trajectory:** [Dynatrace](https://www.g2.com/products/dynatrace) reviewers call consumption-based pricing unpredictable as telemetry grows, and [Datadog](https://www.g2.com/products/datadog) reviewers describe log ingestion and custom metric costs requiring continuous governance. - **Implementation ownership:** Dynatrace reviewers describe significant training investment before teams are productive, and ServiceNow reviewers note platform upgrades can break custom discovery patterns without dedicated ownership. - **Support model:** [Site24x7](https://www.g2.com/products/site24x7) reviewers describe escalating through multiple support tiers before reaching engineers who can resolve deep issues, and some [LogicMonitor](https://www.g2.com/products/logicmonitor) reviewers report support being hard to reach. Negotiate telemetry pricing bands, professional services hours, and tuning milestones into the contract, and judge the pilot on MTTR movement. **Which AIOps solution is best for large-scale enterprise systems?** Large enterprises often seek AIOps platforms that can monitor complex, hybrid, and multi-cloud environments at scale. [Dynatrace](https://www.g2.com/products/dynatrace/reviews) is known for AI-driven observability and automatic service discovery across large distributed systems. [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) provides enterprise event management and automated incident workflows tied to service management processes. #### Sources - [G2 Research Hub](https://research.g2.com/insights/demo-automation) - [G2 Research Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies) - [G2 Market Presence Score Overview](https://www.g2.com/reports) Researched and written by [Tian Lin](https://research.g2.com/insights/author/tian-lin) Last updated on: March 16, 2026 ## Frequently asked questions about AIOps Tools ### What are the typical implementation timelines for AIOps platforms? Implementation timelines for AIOps platforms typically range from 3 to 6 months, depending on the complexity of the organization’s IT environment and the specific platform chosen. For instance, platforms like Moogsoft and Dynatrace often report quicker onboarding processes, while others like Splunk and IBM Watson AIOps may require more extensive integration efforts, extending timelines to 6 months or longer. User feedback indicates that thorough planning and resource allocation significantly influence these timelines. ### What differentiates AIOps platforms from traditional IT monitoring tools? AIOps platforms differentiate from traditional IT monitoring tools by leveraging machine learning and artificial intelligence to automate and enhance IT operations. Users report that AIOps solutions, such as Moogsoft, Dynatrace, and Splunk, provide advanced anomaly detection and predictive analytics, enabling proactive issue resolution. In contrast, traditional tools primarily focus on real-time monitoring and alerting without the same level of automation or data correlation capabilities. This results in improved operational efficiency and reduced mean time to resolution (MTTR) for organizations using AIOps. ### How do AIOps platforms handle data security and compliance? AIOps platforms prioritize data security and compliance through various features. For instance, products like Moogsoft and Dynatrace emphasize robust encryption protocols and compliance with standards such as GDPR and HIPAA. Users frequently highlight the importance of role-based access controls and audit trails in platforms like Splunk and Datadog, ensuring that sensitive data is protected and access is monitored. Additionally, many platforms offer integrations with existing security tools to enhance overall security posture, reflecting a strong commitment to safeguarding data. ### What metrics should I track to measure AIOps success? To measure AIOps success, track metrics such as incident resolution time, mean time to detect (MTTD), mean time to resolve (MTTR), and the reduction in alert fatigue. Additionally, monitor the percentage of automated responses to incidents and the overall improvement in system uptime. User feedback highlights that platforms like Moogsoft, Dynatrace, and Splunk are effective in enhancing these metrics, with users noting significant improvements in operational efficiency and reduced downtime. ### How do AIOps platforms enhance operational efficiency? AIOps platforms enhance operational efficiency by automating incident management, reducing mean time to resolution (MTTR) through predictive analytics, and providing real-time insights into system performance. Users report significant improvements in collaboration and decision-making, with platforms like Moogsoft and Dynatrace noted for their ability to integrate data from various sources, enabling proactive issue detection. Additionally, tools such as Splunk and Datadog are praised for their machine learning capabilities that streamline workflows and optimize resource allocation, ultimately leading to reduced operational costs and improved service reliability. ### What kind of support and training do AIOps vendors typically offer? AIOps vendors typically offer a range of support and training options, including 24/7 customer support, online resources, and personalized training sessions. For instance, products like Moogsoft and Dynatrace provide extensive documentation and community forums, while vendors such as Splunk and BigPanda emphasize tailored onboarding and dedicated account management. Additionally, many platforms offer webinars and certification programs to enhance user proficiency, ensuring that organizations can effectively leverage their AIOps solutions. ### How scalable are AIOps platforms for growing businesses? AIOps platforms demonstrate strong scalability for growing businesses, with users highlighting features like automated incident management and real-time analytics that adapt to increasing data volumes. Products such as Moogsoft, Dynatrace, and Splunk are noted for their ability to handle larger workloads seamlessly, with user reviews indicating satisfaction with performance as organizations expand. Additionally, many platforms offer flexible deployment options, which further enhance their scalability, allowing businesses to scale operations without significant disruptions. ### What are common use cases for AIOps platforms in enterprises? Common use cases for AIOps platforms in enterprises include incident management, where they automate the detection and resolution of IT issues, and performance monitoring, which helps in analyzing system performance in real-time. Additionally, they are utilized for predictive analytics to foresee potential outages and for capacity planning to optimize resource allocation. AIOps platforms also enhance collaboration across IT teams by providing a unified view of operations, facilitating faster decision-making and improving overall operational efficiency. ### How do AIOps platforms integrate with existing IT tools? AIOps platforms typically integrate with existing IT tools through APIs, enabling seamless data exchange and automation. Users report that platforms like Splunk, Moogsoft, and Dynatrace offer robust integration capabilities, allowing for connections with monitoring, ticketing, and cloud services. For instance, Moogsoft users highlight its ability to integrate with tools like ServiceNow and Jira, enhancing incident management workflows. Similarly, Dynatrace is noted for its compatibility with various cloud environments and DevOps tools, facilitating a unified operational view. ### What is the average pricing model for AIOps platforms? The average pricing model for AIOps platforms typically includes subscription-based pricing, with monthly or annual billing options. Most platforms offer tiered pricing based on features and usage levels, with costs ranging from approximately $10 to $150 per user per month. For example, products like Moogsoft, Dynatrace, and Splunk Observability provide various pricing tiers that cater to different organizational needs, reflecting a common trend in the industry. ### How do AIOps platforms improve incident management processes? AIOps platforms enhance incident management by automating root cause analysis, reducing mean time to resolution (MTTR), and improving collaboration among teams. Users report that platforms like Moogsoft and Dynatrace streamline incident detection and response through AI-driven insights, enabling proactive management of IT operations. Additionally, tools such as Splunk and PagerDuty facilitate better visibility and communication, allowing teams to address incidents more efficiently. Overall, these platforms significantly minimize downtime and enhance operational efficiency. ### What are the key features to look for in AIOps platforms? Key features to look for in AIOps platforms include automated incident management, real-time analytics, machine learning capabilities for anomaly detection, integration with existing IT tools, and customizable dashboards. Users frequently highlight the importance of predictive insights and collaboration features to enhance team efficiency. Additionally, strong reporting capabilities and user-friendly interfaces are often mentioned as critical for effective utilization. Platforms like Dynatrace, Splunk, and Moogsoft are noted for their robust feature sets in these areas.