# 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** ### Zoho Analytics Zoho Analytics is a GenAI-powered self-service BI and analytics platform that helps businesses collect, prepare, analyze, and present insights from their data, all within minutes. Integrate with 500+ native data sources, like files, feeds, local and cloud databases, cloud storage, and popular business apps. Clean, transform, enrich, and catalog data with our agentic AI-powered, self-service data preparation and management capabilities. Create and manage complex ETL data pipelines using our visual pipeline builder, process stream data for real-time analytics, and set up a strong metrics layer for quality analysis and management. Zoho Analytics comes with 100+ domain-specific prebuilt reports and dashboards, pre-trained NLQ models, intelligently modeled and blended data across business applications, and lots more. Use our intuitive drag-and-drop visualization builder to build insightful and interactive reports and dashboards using a wide variety of visual components, like charts, widgets, pivot tables, tabular views and more. Generate customized reports and dashboards using simple, natural language with our AI-powered conversational agent, Zia. Ask Zia goes beyond basic reporting; it enables users to perform diagnostic analytics, forecast key metrics, and receive intelligent insights and recommendations. Users can assign tasks and trigger actions just by conversing with our agentic AI, Zia, streamlining their workflows and empowering data-driven decisions. Seamlessly embed Ask Zia into your custom or business applications to deliver contextual insights and actions. Enrich your analysis with automated insights by using our NLG-powered narration engine, Zia Insights. With diagnostic analytics for smarter decision-making, Zia Insights takes automated insights to the next level by bubbling up key drivers for particular business tasks. Enumerate complex business scenarios with what-if analyses, forecast KPIs, uncover trends and patterns with advanced analytical capabilities. Leverage cognitive analysis for keyword extraction and sentiment analysis, and more. Evaluate the best ML models with no-code assistance or develop custom models and functions using Python Code Studio. Zoho Analytics comes with pre-packed ML models (AutoML) that allow you to evaluate and pick the best model for your use case. Alternatively custom models and functions using Python Code Studio Embed our full-fledged analytics platform into other software applications. Craft and present immersive data stories through slideshows or purpose-built analytics portals. Collaborate securely through contextual comment threads and real-time messaging. Zoho Analytics has a robust set of APIs that enables elaborate customization and highly extensible low-code and no-code integration with any technology stack. It also offers a high degree of deployment flexibility (private, public, multi-cloud, and on-premises) and platform extensibility (professional services, partner support, and marketplace). Zoho Analytics is modern and scalable, and it can readily match growing data volumes and usage. Its time-tested and accredited enterprise-grade security features and governance framework ensure continuous data management and stewardship. On top of everything else, the TCO for Zoho Analytics—including licensing, implementation, customization, training, and support—is the lowest in our market. [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=2026-08-15T12%3A36%3A44Z&secure%5Bdisplayable_resource_id%5D=622&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=3431&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=3431&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=8cf7756b8611f4e501a9813fe8ba152efbdd8619947ff77a8c04af8d3d74baa8&secure%5Burl%5D=https%3A%2F%2Fwww.zoho.com%2Fanalytics%2Fembedded-analytics.html%3Futm_source%3DG2%26utm_medium%3Dcpc%26utm_campaign%3DEmbedded_BI&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:** 455 #### 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:** 223 #### 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/es/products/dynatrace/reviews) Dynatrace está avanzando en la observabilidad para los negocios digitales de hoy, ayudando a transformar la complejidad de los ecosistemas digitales modernos en poderosos activos empresariales. Al aprovechar las ideas impulsadas por la inteligencia artificial, Dynatrace permite a las organizaciones analizar, automatizar e innovar más rápido para impulsar su negocio hacia adelante. Aprende más en www.dynatrace.com. **Average Rating:** 4.5/5.0 **Total Reviews:** 1,234 #### How Do G2 Users Rate Dynatrace? - **Monitoreo de Sistemas:** 8.8/10 (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?:** 8.7/10 (Category avg: 9.1/10) - **Informes:** 8.2/10 (Category avg: 8.8/10) #### Who Is the Company Behind Dynatrace? - **Vendedor:** [Dynatrace](https://www.g2.com/es/sellers/dynatrace) - **Año de fundación:** 2005 - **Ubicación de la sede:** Boston, MA - **Twitter:** @Dynatrace 18,668 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=83c43c7495079d745f57a9f8c381cbe86f78689894d05ac3e6cb0ba76b16494d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F125999%2F&secure%5Burl_type%5D=linkedin_company_website) 6,060 empleados en LinkedIn® - **Propiedad:** NYSE: DT #### Who Uses This Product? - **Who Uses This:** Ingeniero de software, Ingeniero de Software Senior - **Top Industries:** Tecnología de la información y servicios, Servicios Financieros - **Company Size:** 69% Large, 23% Medium #### What Do G2 Reviewers Say About Dynatrace? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios elogian la **facilidad de uso** de Dynatrace, destacando su navegación intuitiva y su rápido proceso de instalación. - Los usuarios valoran la **función de punto de interrupción en tiempo real** para depurar código en producción, mejorando su proceso de desarrollo. - Los usuarios elogian la **rápida recopilación de información** de Dynatrace, mejorando la detección de errores y la eficiencia general de la depuración. - Los usuarios valoran las capacidades de **recopilación de datos exhaustiva** de Dynatrace, lo que permite una detección eficiente de errores sin interrupciones en la producción. - Los usuarios encuentran las capacidades de **monitoreo** invaluables para obtener información rápida y alertas oportunas sobre problemas del sistema, mejorando la fiabilidad. ##### Cons - Los usuarios encuentran la **curva de aprendizaje empinada** , con desafíos en la instrumentación y en entender el sistema de manera efectiva. - Los usuarios están frustrados con **las características faltantes** en Dynatrace, lo que afecta la extracción de datos y la usabilidad general. - Los usuarios encuentran que la **complejidad de la instrumentación** con Dynatrace puede obstaculizar la investigación efectiva de problemas y la facilidad de uso. - Los usuarios sienten que la **interfaz de usuario podría estar menos desordenada** , haciendo que la navegación y la visualización de registros sean engorrosas para los recién llegados. - Los usuarios encuentran el **empinada curva de aprendizaje** de Dynatrace desafiante, lo que dificulta aprovechar completamente sus características. #### What Are Recent G2 Reviews of Dynatrace? **["Observabilidad integral, excelente IA, pero precios complejos"](https://www.g2.com/es/survey_responses/dynatrace-review-13111992)** **Rating:** 4.0/5.0 stars _— Vishnu Vardhan N._ [Read full review](https://www.g2.com/es/survey_responses/dynatrace-review-13111992) **["Davis AI ofrece información clara sobre las causas raíz y monitoreo de usuarios en tiempo real."](https://www.g2.com/es/survey_responses/dynatrace-review-12645823)** **Rating:** 4.5/5.0 stars _— Sabina K._ [Read full review](https://www.g2.com/es/survey_responses/dynatrace-review-12645823) #### What Are G2 Users Discussing About Dynatrace? - [¿Para qué se utiliza Dynatrace?](https://www.g2.com/es/discussions/what-is-dynatrace-used-for) - 3 comments - [How do you use Rookout?](https://www.g2.com/es/discussions/how-do-you-use-rookout) - [What is the use of Rookout?](https://www.g2.com/es/discussions/what-is-the-use-of-rookout) - [What is offline debugging?](https://www.g2.com/es/discussions/what-is-offline-debugging) - [What does Rookout do?](https://www.g2.com/es/discussions/what-does-rookout-do) - 2 comments ### [ScienceLogic AI Platform](https://www.g2.com/products/sciencelogic-ai-platform/reviews) ScienceLogic delivers a unified, service-centric, AI-powered IT operations platform that transforms reactive IT into intelligent, automated operations, using high-fidelity telemetry data and safe, explainable automation to deliver measurable results. Deployable across on-premises, cloud, and hybrid environments, the ScienceLogic AI Platform consolidates fragmented tools, delivers complete service-aware observability, and empowers engineers to move beyond manual processes with the efficiency of automation and the intelligence of AI. Unlike competitors, ScienceLogic’s platform leverages automation as a true differentiator, providing goal-driven insights, closed-loop remediation, and explainable actions governed by enterprise policies. This reduces MTTR, improves efficiency, and frees teams to focus on innovation, with confidence that every automated action is safe, verifiable, and aligned with business intent. Through seamless integrations, advanced agentic AI capabilities, and a data-rich architecture built on continuous telemetry and discovery, the ScienceLogic AI Platform enables enterprises and managed service providers to manage complex, distributed infrastructures with accuracy, efficiency, and speed. Flexible and extensive, the ScienceLogic AI Platform helps enterprises, MSPs, government agencies, and other organizations scale services reliably, deliver superior customer experiences, and consolidate toolsets with intelligent automation built on trusted data. Recognized as a leader in The Forrester Wave™: AIOps Platforms, Q2 2025, and a visionary in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, ScienceLogic empowers customers to achieve faster service restoration, executive-level visibility, and optimal business outcomes, while advancing toward fully autonomous IT operations. **Average Rating:** 4.5/5.0 **Total Reviews:** 37 #### How Do G2 Users Rate ScienceLogic AI Platform? - **Systems Monitoring:** 9.3/10 (Category avg: 9.0/10) - **Artificial Intelligence:** 8.8/10 (Category avg: 8.6/10) - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Reporting:** 8.3/10 (Category avg: 8.8/10) #### Who Is the Company Behind ScienceLogic AI Platform? - **Seller:** [ScienceLogic](https://www.g2.com/sellers/sciencelogic) - **Company Website:** www.sciencelogic.com - **Year Founded:** 2003 - **HQ Location:** Reston, Virginia - **Twitter:** @ScienceLogic 9,190 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 52% Large, 21% Medium #### What Do G2 Reviewers Say About ScienceLogic AI Platform? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **automated root cause detection** of ScienceLogic AI, significantly reducing manual efforts and expediting problem resolution. - Users value the **unified visibility** and AI-driven analytics of ScienceLogic AI Platform for efficient IT management. - Users benefit from the **efficiency in monitoring** with ScienceLogic AI, enhancing visibility and reducing downtime. - Users value the **predictive analytics and visibility** of ScienceLogic AI Platform, enhancing IT operations and reducing downtime. - Users value the **comprehensive monitoring** capabilities of ScienceLogic AI Platform, enhancing IT management and operational efficiency. ##### Cons - Users face challenges with **noisy alerts and false positives** , which complicate alert management and tuning efforts. - Users find the **difficult learning curve** of ScienceLogic AI Platform challenging, impacting the overall setup experience. - Users find the **steep learning curve** of the ScienceLogic AI Platform challenging during initial setup and customization. - Users find the **steep learning curve** challenging during initial setup, though customization offers long-term benefits. - Users find the **initial setup complex** , which presents a steep learning curve and complicates deployment and integration. #### What Are Recent G2 Reviews of ScienceLogic AI Platform? **["Service-Centric Hybrid IT Visibility with Powerful AIOps Insights"](https://www.g2.com/survey_responses/sciencelogic-ai-platform-review-13204532)** **Rating:** 5.0/5.0 stars _— Rupa P._ [Read full review](https://www.g2.com/survey_responses/sciencelogic-ai-platform-review-13204532) **["Unified Observability, Automation, and Business Service Visibility in One Platform"](https://www.g2.com/survey_responses/sciencelogic-ai-platform-review-13224116)** **Rating:** 5.0/5.0 stars _— sasidharan r._ [Read full review](https://www.g2.com/survey_responses/sciencelogic-ai-platform-review-13224116) #### What Are G2 Users Discussing About ScienceLogic AI Platform? - [Which appliance provides the user interface in the SL1 architecture?](https://www.g2.com/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/discussions/which-appliance-provides-the-user-interface-in-the-sl1-architecture) - [What is infrastructure monitoring?](https://www.g2.com/discussions/what-is-infrastructure-monitoring) - [What is ScienceLogic used for?](https://www.g2.com/discussions/what-is-sciencelogic-used-for) - [What is ScienceLogic EM7?](https://www.g2.com/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/products/rakuten-sixthsense-observability/reviews) In today's digital landscape, businesses need a powerful and comprehensive Application Performance Monitoring (APM) solution to stay ahead of the curve. Introducing Rakuten SixthSense Observability - a next-generation APM tool that transforms the way you monitor, analyze, and optimize your applications and infrastructure. With its robust suite of features and advanced analytics, Rakuten SixthSense Observability empowers you to proactively identify and resolve issues, streamline operations, and enhance customer experiences. Key Capabilities: • Comprehensive Monitoring and Alerting: Rakuten SixthSense Observability offers end-to-end monitoring of your applications, infrastructure, and network performance. With real-time alerting and customizable dashboards, you can quickly detect issues and gain actionable insights into the health and performance of your systems. • Distributed Tracing and Correlation: Gain full visibility into your application's performance with distributed tracing, which tracks transactions and requests across multiple services and components. This feature helps you identify bottlenecks, latency issues, and errors, making it easier to optimize your application and enhance customer experiences. • Anomaly Detection and Machine Learning: Leverage Rakuten SixthSense's advanced machine learning capabilities to automatically identify unusual patterns and deviations in application performance and resource utilization. This proactive approach enables you to detect and resolve issues before they impact your business and customers. • Advanced Analytics and Visualization: Rakuten SixthSense's rich data visualization and analytics tools allow you to dive deep into your application performance data. Generate custom reports, analyze trends, and uncover hidden patterns that can drive continuous improvement and optimization. • Log Management and Integration: Effortlessly collect, analyze, and store logs from various sources with Rakuten SixthSense's integrated log management feature. This seamless integration enables you to correlate log data with performance metrics and traces, providing a comprehensive understanding of your application's behaviour. • Scalability and Flexibility: Rakuten SixthSense Observability is built to scale with your growing business needs, supporting a wide range of applications, services, and infrastructure. Its flexible architecture allows you to customize the tool to your specific requirements and integrate it with other monitoring and observability solutions. Current Feature set: • Application Performance Monitoring: Full stack visibility across Java, PHP, Node.js, Python, Go and a lot more! Key Features include, Distributed Tracing, Profiling, Database Monitoring • Infrastructure Monitoring: Get a birds-eye view of your infrastructure health and gain granular insights with easy deployment Key Features include Kubernetes, VMs, Web Servers, Cloud Integrations • Digital Experience Monitoring: Improve the end-user experience of your applications mapped with contextual information of application performance metrics • Browser Monitoring: Metrics to optimize end users’ experience and help in improving application performance. • Mobile Monitoring: Monitor crashes, performance & usage metrics for your mobile applications • Synthetic Monitoring: Stimulate end-user transactions using low code, no code test scripts • VM Monitoring: VM monitoring capability lets you view your infrastructure performance and health of servers, virtual machines, containers, databases etc. at a glance. • SixthSense Cognitive Engine: Modern observability and the proactive approach using artificial intelligence. The application uses different AI/ML algorithms that can predict performance metrics with an accuracy of up to 98% and a confidence level of 90%. **Average Rating:** 4.6/5.0 **Total Reviews:** 52 #### How Do G2 Users Rate Rakuten SixthSense Observability? - **Systems Monitoring:** 9.5/10 (Category avg: 9.0/10) - **Artificial Intelligence:** 9.0/10 (Category avg: 8.6/10) - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Reporting:** 8.6/10 (Category avg: 8.8/10) #### Who Is the Company Behind Rakuten SixthSense Observability? - **Seller:** [Rakuten SixthSense](https://www.g2.com/sellers/rakuten-sixthsense-f1af4c23-8be7-4bf4-a775-a4d50eebce5d) - **Year Founded:** 2016 - **HQ Location:** Bengaluru, IN - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn® - **Ownership:** TYO: 4755 #### Who Uses This Product? - **Who Uses This:** Senior Software Engineer - **Top Industries:** Information Technology and Services, Computer Games - **Company Size:** 47% Large, 38% Medium #### What Do G2 Reviewers Say About Rakuten SixthSense Observability? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **deep visibility** into application performance provided by Rakuten SixthSense, enhancing proactive anomaly detection and decision-making. - Users appreciate the **efficient alerting system** , enabling quick transitions from alerts to code resolution in one dashboard. - Users value the **excellent customer support** of Rakuten SixthSense, enhancing their experience with the platform. - Users appreciate the **ease of use** of Rakuten SixthSense Observability, simplifying troubleshooting with an intuitive interface. - Users appreciate the **easy implementation** of Rakuten SixthSense Observability, making monitoring and debugging straightforward and efficient. ##### Cons - Users find the **complex setup** challenging, requiring significant onboarding effort despite responsive support for customization. - Users find the **poor documentation** of Rakuten SixthSense Observability lacking, hindering effective use and onboarding. - Users report **false positive alerts** and desire enhanced functionality for timely error record displays and notifications. - Users note the **inefficient alert system** , citing frequent false positives and lacking desired dashboard reporting features. - Users feel that **documentation needs improvement** to enhance the overall usability and user experience of the tool. #### What Are Recent G2 Reviews of Rakuten SixthSense Observability? **["Great monitoring tool!"](https://www.g2.com/survey_responses/rakuten-sixthsense-observability-review-8230168)** **Rating:** 5.0/5.0 stars _— Verified User in Information Technology and Services_ [Read full review](https://www.g2.com/survey_responses/rakuten-sixthsense-observability-review-8230168) **["A very good SAAS monitoring & observability tool"](https://www.g2.com/survey_responses/rakuten-sixthsense-observability-review-11287792)** **Rating:** 5.0/5.0 stars _— Verified User in Computer Games_ [Read full review](https://www.g2.com/survey_responses/rakuten-sixthsense-observability-review-11287792) ### [Elastic Observability](https://www.g2.com/it/products/elastic-observability/reviews) Osservabilità nativa OpenTelemetry per un'analisi rapida delle cause principali guidata dall'IA Cerca, analizza e agisci con log, metriche e tracce. I leader SRE mirano a prevenire proattivamente i tempi di inattività, semplificare gli stack di strumenti e ridurre il lavoro ripetitivo, ma la complessità multi-cloud e i set di strumenti frammentati creano lacune di visibilità che rendono difficile rimanere al passo. OTel-native e potenziato dall'IA, Elastic Observability acquisisce e correla petabyte di telemetria tra le tue applicazioni, servizi e infrastrutture, in tempo reale. Accelera la risoluzione dei problemi con flussi di lavoro agentici integrati e un Assistente IA che va ben oltre la chat per rafforzare l'esperienza del team e guidare le indagini, basandosi sul contesto dei tuoi database di conoscenze organizzative. Più dati, più problemi? Non più. La maggior parte delle soluzioni di osservabilità e logging non sono state costruite per la scala odierna. Elastic sì. La nostra architettura è progettata per gestire petabyte di log con indicizzazione, compressione e archiviazione ricercabile efficiente, in modo da poter mantenere tutta la telemetria di cui hai bisogno, senza sforare il budget. Conserva di più, spendi meno e risolvi i problemi più velocemente con una piattaforma scalabile, aperta ed estensibile che unifica la visibilità in tutto il tuo ambiente. **Average Rating:** 4.2/5.0 **Total Reviews:** 90 #### How Do G2 Users Rate Elastic Observability? - **Monitoraggio dei Sistemi:** 9.0/10 (Category avg: 9.0/10) - **Intelligenza Artificiale:** 7.2/10 (Category avg: 8.6/10) - **Ritiene che the product sia stato un valido partner commerciale?:** 7.7/10 (Category avg: 9.1/10) - **Segnalazione:** 7.8/10 (Category avg: 8.8/10) #### Who Is the Company Behind Elastic Observability? - **Venditore:** [Elastic](https://www.g2.com/it/sellers/elastic) - **Sito web dell'azienda:** www.elastic.co - **Anno di Fondazione:** 2012 - **Sede centrale:** San Francisco, CA - **Twitter:** @elastic 65,200 follower su Twitter - **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/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 dipendenti su LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer - **Top Industries:** Tecnologia dell'informazione e servizi, Software per computer - **Company Size:** 51% Large, 48% Medium #### What Do G2 Reviewers Say About Elastic Observability? _AI-generated summary from verified user reviews_ ##### Pros - Gli utenti apprezzano l' **interfaccia utente intuitiva** di Elastic Observability, rendendola facile da navigare e configurare. - Gli utenti apprezzano le **capacità di allerta in tempo reale** di Elastic Observability, migliorando il monitoraggio proattivo e le informazioni sul sistema. - Gli utenti apprezzano le **eccellenti capacità di raccolta dei log** di Elastic Observability, semplificando i loro compiti di monitoraggio e analisi. - Gli utenti apprezzano le **eccellenti capacità di monitoraggio** di Elastic Observability, semplificando i loro processi di raccolta e analisi dei dati. - Gli utenti apprezzano la **facile integrazione e flessibilità** di Elastic Observability, migliorando la risoluzione dei problemi e la visibilità operativa. ##### Cons - Gli utenti trovano la **curva di apprendimento ripida** , richiedendo un addestramento e una conoscenza significativi per utilizzare efficacemente Elastic Observability. - Gli utenti trovano la **curva di apprendimento difficile** impegnativa, in particolare per i team non familiari con Elastic Stack e ELK. - Gli utenti trovano frustrante che ci sia **un'integrazione e un avviso limitati per la gestione dei log** , il che complica la visibilità dei log. - Gli utenti trovano la **difficoltà di apprendimento** scoraggiante, soprattutto quando navigano per la prima volta tra registri estesi e funzionalità avanzate. - Gli utenti affrontano **problemi di gestione dei log** , affrontando sfide con l'allerta, l'integrazione APM e la mancanza di una visualizzazione centralizzata dei log. #### What Are Recent G2 Reviews of Elastic Observability? **["APM è un punto di svolta per l'infrastruttura GKE"](https://www.g2.com/it/survey_responses/elastic-observability-review-12628710)** **Rating:** 5.0/5.0 stars _— Ever M._ [Read full review](https://www.g2.com/it/survey_responses/elastic-observability-review-12628710) **["Perspicace, ma necessita di una personalizzazione migliorata"](https://www.g2.com/it/survey_responses/elastic-observability-review-12668298)** **Rating:** 4.0/5.0 stars _— Sam ._ [Read full review](https://www.g2.com/it/survey_responses/elastic-observability-review-12668298) #### What Are G2 Users Discussing About Elastic Observability? - [Can I use Elasticsearch as a database?](https://www.g2.com/it/discussions/can-i-use-elasticsearch-as-a-database) - [Posso usare Elasticsearch gratuitamente?](https://www.g2.com/it/discussions/can-i-use-elasticsearch-for-free) - 1 comment - [What is elastic search?](https://www.g2.com/it/discussions/what-is-elastic-search) - [What is elastic search used for?](https://www.g2.com/it/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/es/products/site24x7/reviews) ManageEngine Site24x7 ofrece monitoreo unificado en la nube para DevOps y operaciones de TI dentro de organizaciones pequeñas a grandes. La solución monitorea la experiencia de usuarios reales que acceden a sitios web y aplicaciones desde dispositivos de escritorio y móviles. Las capacidades de monitoreo en profundidad permiten a los equipos de DevOps monitorear y solucionar problemas de aplicaciones, servidores e infraestructura de red, incluidas nubes privadas y públicas. El monitoreo de la experiencia del usuario final se realiza desde más de 100 ubicaciones en todo el mundo y varios operadores inalámbricos. **Average Rating:** 4.6/5.0 **Total Reviews:** 448 #### How Do G2 Users Rate Site24x7? - **Monitoreo de Sistemas:** 9.8/10 (Category avg: 9.0/10) - **Inteligencia Artificial:** 8.1/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 8.9/10 (Category avg: 9.1/10) - **Informes:** 9.4/10 (Category avg: 8.8/10) #### Who Is the Company Behind Site24x7? - **Vendedor:** [Zoho](https://www.g2.com/es/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704) - **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® - **Teléfono:** +1 (888) 900-9646 #### Who Uses This Product? - **Who Uses This:** Director Ejecutivo, Director de Tecnología - **Top Industries:** Tecnología de la información y servicios, Software de Computadora - **Company Size:** 45% Medium, 41% Small #### What Do G2 Reviewers Say About Site24x7? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios aprecian la **facilidad de uso** de Site24x7, beneficiándose de su interfaz simple y soporte útil. - Los usuarios aprecian la **visibilidad de un solo panel** que conecta sin problemas las métricas del sitio web y del servidor, ahorrando tiempo sin esfuerzo. - Los usuarios aprecian las capacidades de **monitoreo en tiempo real** de Site24x7, haciendo que el seguimiento del rendimiento sea simple y eficiente. - Los usuarios valoran las **amplias opciones de monitoreo** de Site24x7, lo que permite una fácil gestión de múltiples recursos desde una sola interfaz. - A los usuarios les encanta la **fácil configuración y la amplia visibilidad** de Site24x7, lo que hace que el monitoreo de la red sea eficiente y sencillo. ##### Cons - Los usuarios informan de **alertas faltantes** y desafíos con las interfaces, lo que afecta la eficiencia y efectividad del monitoreo de eventos. - Los usuarios encuentran el **proceso de integración de herramientas complejo** , lo que lleva a confusión debido a la multitud de opciones disponibles. - Los usuarios encuentran que los precios de Site24x7 son **caros** , especialmente para las pequeñas empresas que necesitan flexibilidad. - Los usuarios encuentran que la **curva de aprendizaje para las funciones avanzadas** de Site24x7 puede ser empinada y desalentadora. - Los usuarios encuentran la **interfaz de usuario mal diseñada** , señalando que carece de intuición y se siente desactualizada, afectando la usabilidad general. #### What Are Recent G2 Reviews of Site24x7? **["Solución de Monitoreo Todo en Uno Confiable"](https://www.g2.com/es/survey_responses/site24x7-review-13212653)** **Rating:** 5.0/5.0 stars _— Mohit Y._ [Read full review](https://www.g2.com/es/survey_responses/site24x7-review-13212653) **["Site24x7: Monitoreo fácil y todo en uno con alertas confiables e información de IA"](https://www.g2.com/es/survey_responses/site24x7-review-13214427)** **Rating:** 5.0/5.0 stars _— sandip E._ [Read full review](https://www.g2.com/es/survey_responses/site24x7-review-13214427) #### What Are G2 Users Discussing About Site24x7? - [What is the use of network monitoring tool?](https://www.g2.com/es/discussions/what-is-the-use-of-network-monitoring-tool) - [What is Site24x7?](https://www.g2.com/es/discussions/what-is-site24x7) - 1 comment - [What are the key features of network monitoring tool?](https://www.g2.com/es/discussions/what-are-the-key-features-of-network-monitoring-tool) - [¿Cuál es el uso de Site24x7?](https://www.g2.com/es/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/es/products/better-stack/reviews) Better Stack es una herramienta de observabilidad SRE basada en eBPF e impulsada por IA. Ayuda a los ingenieros a enviar software de alta calidad más rápido y ser el héroe de sus equipos de ingeniería. **Average Rating:** 4.8/5.0 **Total Reviews:** 337 #### How Do G2 Users Rate Better Stack? - **¿Ha sido the product un buen socio para hacer negocios?:** 9.6/10 (Category avg: 9.1/10) #### Who Is the Company Behind Better Stack? - **Vendedor:** [Better Stack](https://www.g2.com/es/sellers/better-stack-3c077b8c-37c5-4d79-9e19-15cf3bd1960b) - **Año de fundación:** 2021 - **Ubicación de la sede:** San Francisco, CA - **Twitter:** @BetterStackHQ 10,698 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=979819b5500b293fa36195dbf4bf6aea9e2ac71cc12348a9c99e1d21028cc158&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbetterstack%2F&secure%5Burl_type%5D=linkedin_company_website) 31 empleados en LinkedIn® #### Who Uses This Product? - **Who Uses This:** Director Ejecutivo, Director de Tecnología - **Top Industries:** Software de Computadora, Tecnología de la información y servicios - **Company Size:** 88% Small, 8% Medium #### What Do G2 Reviewers Say About Better Stack? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios valoran la **facilidad de uso** en Better Stack, elogiando su configuración intuitiva y sus capacidades de monitoreo confiables. - Los usuarios destacan la **fácil configuración** de Better Stack, apreciando su simplicidad y proceso de integración fluido. - Los usuarios elogian la **excelente interfaz de usuario** de Better Stack, mejorando la eficiencia del monitoreo y el flujo de trabajo para los equipos de desarrollo. - Los usuarios destacan la **notable facilidad de configuración** de Better Stack, lo que hace que sea rápido e intuitivo comenzar. - Los usuarios aprecian las **notificaciones instantáneas** de Better Stack, asegurando respuestas oportunas a problemas de inactividad y una gestión proactiva de incidentes. ##### Cons - Los usuarios encuentran que el precio de Better Stack es **caro** después de los límites del nivel gratuito, especialmente para las características personalizadas. - Los usuarios están frustrados por las **funciones faltantes** como la integración con Discord y las restricciones en los cambios de propiedad del sitio web. - Los usuarios encuentran los **problemas de precios** problemáticos después de exceder los límites del nivel gratuito, con costos más altos para funciones avanzadas. - Los usuarios encuentran que Better Stack tiene **funciones limitadas** , como soporte de dominio personalizado retrasado y falta de opciones de panel de control. - Los usuarios encuentran **la gestión de registros desafiante** , luchando con la navegación de la interfaz de usuario y fallos ocasionales en la recopilación de registros. #### What Are Recent G2 Reviews of Better Stack? **["Herramienta esencial gratuita para un monitoreo de sitios web sin esfuerzo"](https://www.g2.com/es/survey_responses/better-stack-review-13077620)** **Rating:** 4.5/5.0 stars _— Usuario verificado en Medios en línea_ [Read full review](https://www.g2.com/es/survey_responses/better-stack-review-13077620) **["Better Stack simplifica el monitoreo, las alertas y los registros con una detección de interrupciones rápida y confiable."](https://www.g2.com/es/survey_responses/better-stack-review-12954208)** **Rating:** 4.5/5.0 stars _— Ravindra N._ [Read full review](https://www.g2.com/es/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/es/discussions/which-tools-can-you-use-to-monitor-a-website-s-uptime) - [What is Hexometer browser?](https://www.g2.com/es/discussions/better-uptime-what-is-hexometer-browser) - [What is betteruptime?](https://www.g2.com/es/discussions/what-is-betteruptime) - [¿Es gratuito Better Uptime?](https://www.g2.com/es/discussions/is-better-uptime-free) - 7 comments, 1 upvote ### [PagerDuty](https://www.g2.com/es/products/pagerduty/reviews) PagerDuty ayuda a organizaciones de todos los tamaños a ofrecer experiencias digitales sin interrupciones al proporcionar información en tiempo real y automatización a través de PagerDuty Operations Cloud. Diseñado para gestionar incidentes críticos, PagerDuty permite a los equipos detectar, evaluar y resolver problemas más rápido, previniendo el tiempo de inactividad y asegurando la continuidad del negocio. Características Clave y Funcionalidad del Producto PagerDuty Operations Cloud es el corazón de nuestra plataforma, proporcionando respuesta proactiva a incidentes, gestión de guardias, flujos de trabajo automatizados e información impulsada por IA. Con integraciones fluidas a más de 700 herramientas, incluidas plataformas de monitoreo y colaboración, PagerDuty ayuda a los equipos a centralizar sus operaciones para mejorar la fiabilidad del servicio y evitar interrupciones. Lo que nos Hace Diferentes PagerDuty empodera a los equipos para resolver problemas críticos de manera rápida y eficiente, mejorando la resiliencia operativa y el rendimiento general. Confiado por organizaciones líderes, el Operations Cloud está diseñado de manera única para manejar las complejidades de los negocios digitales de hoy. Nuestra capacidad para ofrecer resolución de incidentes en tiempo real nos distingue, dando a los líderes de TI y CIOs la confianza para mantener servicios siempre activos. **Average Rating:** 4.5/5.0 **Total Reviews:** 950 #### How Do G2 Users Rate PagerDuty? - **Monitoreo de Sistemas:** 9.7/10 (Category avg: 9.0/10) - **Inteligencia Artificial:** 9.6/10 (Category avg: 8.6/10) - **¿Ha sido the product un buen socio para hacer negocios?:** 8.9/10 (Category avg: 9.1/10) - **Informes:** 9.4/10 (Category avg: 8.8/10) #### Who Is the Company Behind PagerDuty? - **Vendedor:** [PagerDuty](https://www.g2.com/es/sellers/pagerduty) - **Sitio web de la empresa:** www.pagerduty.com - **Año de fundación:** 2009 - **Ubicación de la sede:** San Francisco, CA - **Twitter:** @pagerduty 24,689 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=939d4e3ae38c9948c223fac14287559f3202cb25d6188d5a010904c292c7c1f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F482819%2F&secure%5Burl_type%5D=linkedin_company_website) 1,267 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:** 44% Medium, 38% Large #### What Do G2 Reviewers Say About PagerDuty? _AI-generated summary from verified user reviews_ ##### Pros - Los usuarios valoran las **notificaciones automatizadas y basadas en prioridades** de PagerDuty, mejorando la respuesta a incidentes y reduciendo el tiempo de resolución. - Los usuarios valoran las **notificaciones automatizadas y basadas en prioridades** de PagerDuty, asegurando respuestas oportunas y reduciendo el tiempo de inactividad. - Los usuarios elogian la **facilidad de integración y la gestión confiable** de alertas con las características intuitivas de PagerDuty. - Los usuarios aprecian la **facilidad de uso** de PagerDuty, disfrutando de características intuitivas y una gestión de incidentes sin problemas. - Los usuarios valoran las **fáciles integraciones** con varias herramientas como Slack y AWS, mejorando la colaboración y la gestión de incidentes. ##### Cons - Los usuarios encuentran que los **problemas de alerta** en PagerDuty llevan a confusión y limitaciones en la personalización del flujo de trabajo, afectando la eficiencia. - Los usuarios encuentran que el **precio es alto** , especialmente para equipos pequeños y características que deberían estar incluidas en un solo plan. - Los usuarios encuentran la **complejidad de la interfaz** en PagerDuty desafiante, especialmente para los nuevos usuarios que navegan por el sistema. - Los usuarios a menudo encuentran el **sistema de alertas ineficiente** abrumador, lo que lleva a interrupciones innecesarias y complejidad en la gestión. - Los usuarios encuentran la **interfaz de usuario compleja** y a veces torpe, especialmente desafiante para los nuevos usuarios que navegan a través de ella. #### What Are Recent G2 Reviews of PagerDuty? **["¡Mantente al tanto de tus alertas de gestión de incidentes mientras te desplazas!"](https://www.g2.com/es/survey_responses/pagerduty-review-9920149)** **Rating:** 4.5/5.0 stars _— Joshua O._ [Read full review](https://www.g2.com/es/survey_responses/pagerduty-review-9920149) **["Enfoque del equipo de TI: Menos estrés y más noches de sueño reparador"](https://www.g2.com/es/survey_responses/pagerduty-review-12856233)** **Rating:** 4.0/5.0 stars _— Johnny C._ [Read full review](https://www.g2.com/es/survey_responses/pagerduty-review-12856233) #### What Are G2 Users Discussing About PagerDuty? - [¿Para qué se utiliza PagerDuty?](https://www.g2.com/es/discussions/what-is-pagerduty-used-for) - 2 comments - [Who are PagerDuty competitors?](https://www.g2.com/es/discussions/who-are-pagerduty-competitors) - [¿Cuánto cuesta PagerDuty?](https://www.g2.com/es/discussions/how-much-does-pagerduty-cost) - 1 comment - [Who uses PagerDuty?](https://www.g2.com/es/discussions/who-uses-pagerduty) - [What is PagerDuty software?](https://www.g2.com/es/discussions/what-is-pagerduty-software) - ‹ Prev ‹ Prev - 1 - [2](/categories/aiops-platforms?open_modal_url=%2Fproducts%2Fsysaid%2Fwishlists%3Fhost_path%3D%252Fcategories%252Faiops-platforms%26source%3Dcategory&order=g2_score&page=2#product-list) - [3](/categories/aiops-platforms?open_modal_url=%2Fproducts%2Fsysaid%2Fwishlists%3Fhost_path%3D%252Fcategories%252Faiops-platforms%26source%3Dcategory&order=g2_score&page=3#product-list) - [4](/categories/aiops-platforms?open_modal_url=%2Fproducts%2Fsysaid%2Fwishlists%3Fhost_path%3D%252Fcategories%252Faiops-platforms%26source%3Dcategory&order=g2_score&page=4#product-list) - [5](/categories/aiops-platforms?open_modal_url=%2Fproducts%2Fsysaid%2Fwishlists%3Fhost_path%3D%252Fcategories%252Faiops-platforms%26source%3Dcategory&order=g2_score&page=5#product-list) - … - [8](/categories/aiops-platforms?open_modal_url=%2Fproducts%2Fsysaid%2Fwishlists%3Fhost_path%3D%252Fcategories%252Faiops-platforms%26source%3Dcategory&order=g2_score&page=8#product-list) - [9](/categories/aiops-platforms?open_modal_url=%2Fproducts%2Fsysaid%2Fwishlists%3Fhost_path%3D%252Fcategories%252Faiops-platforms%26source%3Dcategory&order=g2_score&page=9#product-list) - [Next › Next ›](/categories/aiops-platforms?open_modal_url=%2Fproducts%2Fsysaid%2Fwishlists%3Fhost_path%3D%252Fcategories%252Faiops-platforms%26source%3Dcategory&order=g2_score&page=2#product-list) Spotlight Categories [E-commerce Fraud Protection Software](https://www.g2.com/categories/e-commerce-fraud-protection) [Product Lifecycle Management (PLM) Software](https://www.g2.com/categories/product-lifecycle-management-plm) [Experience Management Software](https://www.g2.com/categories/experience-management) [Voice Recognition Software](https://www.g2.com/categories/voice-recognition) [Network Monitoring Software](https://www.g2.com/categories/network-monitoring) 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.