# Best AIOps Tools and Platforms

## How Many AIOps Tools Products Does G2 Track?

**Total Products under this Category:** 121

### Category Stats (Jul 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 (+3.53%) - Among all products in this category, ScienceLogic AI Platform recorded the largest rating increase compared to last month

_Last updated: July 29, 2026_

## How Does G2 Rank AIOps Tools Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 12,600+ Authentic Reviews
- 121+ 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=3824&focus%5B%5D=1211333&focus%5B%5D=39741)

Highlighted products: ServiceNow IT Operations Management, OpManager Nexus, Atera, IBM Instana, Dynatrace, Datadog, Rakuten SixthSense Observability, and ScienceLogic AI Platform.

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=datadog&focus%5B%5D=rakuten-sixthsense-observability&focus%5B%5D=sciencelogic-ai-platform)

**Sponsored**

### Datadog

Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. The SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=2107&secure%5Bchosen_at%5D=2026-07-30T19%3A26%3A39Z&secure%5Bdisplayable_resource_id%5D=2107&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2107&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=3824&secure%5Bresource_id%5D=2107&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Faiops-platforms&secure%5Btoken%5D=18eecf74a5ac328a7281b63220146853b0621166085d583ed63852dbba64c024&secure%5Burl%5D=https%3A%2F%2Fwww.datadoghq.com%2Fdg%2Fmonitor%2Ffree-trial-g2%2F%3Futm_source%3Dg2crowd%26utm_medium%3Dreview-site%26utm_campaign%3Ddg-coreplatform-multi-ww-en-g2&secure%5Burl_type%5D=custom_url)

### [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews)

ServiceNow IT Operations Management (ITOM) is a comprehensive solution designed to enhance the visibility, health, and optimization of an organization's IT infrastructure. By integrating advanced automation and artificial intelligence, ITOM enables proactive management of IT operations, reducing downtime and improving service delivery. Key Features and Functionality: - ITOM Visibility: Automates the discovery of IT assets across on-premises, cloud, and hybrid environments, providing a unified view of the infrastructure. Service Mapping identifies dependencies between IT components, facilitating impact analysis and change management. - ITOM Health: Consolidates and correlates events from various monitoring tools, enabling IT teams to prioritize and respond to critical incidents promptly. Operational Intelligence leverages AI and machine learning to detect patterns and anomalies, allowing for proactive issue resolution. - ITOM Optimization: Manages cloud resources effectively by providing visibility and control over public, private, and hybrid cloud environments. Automates provisioning, lifecycle management, and cost optimization of IT resources supporting application services. Primary Value and Solutions Provided: ServiceNow ITOM addresses the challenges of managing complex IT environments by offering a unified platform that enhances operational efficiency and service reliability. It enables organizations to transition from reactive to proactive operations, minimizing the risk of outages and optimizing resource utilization. By automating routine tasks and providing real-time insights, ITOM empowers IT teams to focus on strategic initiatives, ultimately driving business growth and resilience.

**Average Rating:** 4.4/5.0

**Total Reviews:** 436

#### How Do G2 Users Rate ServiceNow IT Operations Management?

- **Systems Monitoring:** 9.3/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 8.4/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Reporting:** 8.9/10 (Category avg: 8.8/10)

#### Who Is the Company Behind ServiceNow IT Operations Management?

- **Seller:** [ServiceNow](https://www.g2.com/sellers/servicenow)
- **Company Website:** www.servicenow.com
- **Year Founded:** 2004
- **HQ Location:** Santa Clara, CA
- **Twitter:** @servicenow  
55,548 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 51% Large, 19% Medium

#### What Do G2 Reviewers Say About ServiceNow IT Operations Management?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in ServiceNow IT Operations Management, enhancing customer support and case resolution efficiency.
- Users value the **visibility** offered by ServiceNow IT Operations Management, enhancing transparency and driving organizational efficiency.
- Users value the **enhanced visibility** into infrastructure and applications provided by ServiceNow IT Operations Management.
- Users appreciate the **smart automation** of ServiceNow IT Operations Management, enhancing efficiency and control in IT operations.
- Users appreciate the **top-notch flexibility** of ServiceNow ITOM, allowing seamless case resolution and documentation management.

##### Cons

- Users often struggle with the **steep learning curve** of ServiceNow IT Operations Management, limiting effective utilization and configuration.
- Users find the **complexity** of ServiceNow IT Operations Management challenging, particularly during setup and feature exploration.
- Users find the **setup complexity** of ServiceNow IT Operations Management challenging, requiring careful planning and skilled administration.
- Users note that ServiceNow IT Operations Management has a **high cost** that can burden mid-sized organizations significantly.
- Users struggle with the **steep learning curve** of ServiceNow IT Operations Management, finding it complex and time-consuming to master.

#### What Are Recent G2 Reviews of ServiceNow IT Operations Management?

**["ServiceNow ITOM: Driving Visibility, Automation, and AI-Powered Operations"](https://www.g2.com/survey_responses/servicenow-it-operations-management-review-12961465)**

**Rating:** 4.5/5.0 stars

_— Shubhangi G._

[Read full review](https://www.g2.com/survey_responses/servicenow-it-operations-management-review-12961465)

**["ServiceNow ITOM: Transforming IT Operations with AI‑Driven Intelligence"](https://www.g2.com/survey_responses/servicenow-it-operations-management-review-12955580)**

**Rating:** 4.5/5.0 stars

_— Ganesh G._

[Read full review](https://www.g2.com/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/discussions/what-is-operations-servicenow)
- [WHAT IS IT operations management software?](https://www.g2.com/discussions/what-is-it-operations-management-software)
- [What are the key IT services provided by ServiceNow?](https://www.g2.com/discussions/what-are-the-key-it-services-provided-by-servicenow)
- [Which functions are included in IT Operations Management?](https://www.g2.com/discussions/which-functions-are-included-in-it-operations-management)

### [OpManager Nexus](https://www.g2.com/products/opmanager-nexus/reviews)

OpManager Nexus is a full-stack observability platform that helps IT teams monitor and manage their entire infrastructure, including networks, servers, applications, databases, and websites, from a single console. Designed for mid-size to large organizations managing hybrid and on-premises environments, OpManager Nexus provides deep visibility across every layer of the IT stack. IT teams gain a consolidated view of their infrastructure, eliminating the need for multiple disconnected monitoring tools and reducing the operational overhead that comes with managing them. This unified approach enables faster decision-making and helps organizations maintain service reliability across complex, distributed environments where downtime can have a direct impact on business continuity. OpManager Nexus includes AIOps capabilities that go beyond traditional monitoring. Agentic AI and generative AI integrations automate routine diagnostics and accelerate issue resolution, while smart event correlation identifies relationships between alerts across the stack. Together, these capabilities help IT teams detect issues early, cut through alert noise, and resolve problems before they impact end users or broader business operations. For IT teams dealing with high volumes of events across large environments, this level of automation significantly reduces the time spent on manual troubleshooting. On the deployment front, OpManager Nexus supports both on-premises installation and cloud access (powered by Site24x7) through ManageEngine's private datacenters. Organizations can choose the model that aligns with their infrastructure strategy, security policies, and compliance requirements, without compromising on monitoring depth or platform capability. As part of the ManageEngine ecosystem, OpManager Nexus integrates natively with ITSM, analytics, and security tools, giving IT teams the full operational context needed to manage infrastructure performance and respond to incidents end to end.

**Average Rating:** 4.6/5.0

**Total Reviews:** 222

#### How Do G2 Users Rate OpManager Nexus?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10)

#### Who Is the Company Behind OpManager Nexus?

- **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704)
- **Company Website:** www.zoho.com
- **Year Founded:** 1996
- **HQ Location:** Austin, TX
- **Twitter:** @Zoho  
137,880 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9c8e45ddb296c32c6c5597ef9ba945c94562c57624f7bd1dcf1a9e9931f71578&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F38373%2F&secure%5Burl_type%5D=linkedin_company_website)  
30,766 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** IT Manager, Network Administrator
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 55% Medium, 31% Large

#### What Do G2 Reviewers Say About OpManager Nexus?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **monitoring capabilities** of OpManager Nexus, praising its ease of use and effective real-time alerting.
- Users value the **real-time monitoring** of OpManager Nexus, enhancing issue resolution and maintaining system efficiency.
- Users appreciate the **ease of use** of OpManager Nexus, which simplifies monitoring and management of critical systems.
- Users value the **intuitive user interface** of OpManager Nexus, enhancing their monitoring experience with easy navigation and alerts.
- Users value the **comprehensive monitoring** capabilities of OpManager Nexus for enhanced server and network management.

##### Cons

- Users find that the **complexity of setup** for OpManager Nexus can lead to difficulties in management and notifications.
- Users find the **complex configuration** of OpManager challenging, especially during initial setup and management of alerts.
- Users find the **complex setup** of OpManager Nexus challenging, especially during the initial onboarding process.
- Users note **missing features** in OpManager Nexus, with some advanced options locked behind higher editions, limiting functionality.
- Users find the **difficult configuration** of OpManager challenging, often leading to excessive alerts without proper adjustments.

#### What Are Recent G2 Reviews of OpManager Nexus?

**["Clear Dashboards and Proactive Alerts for Full Infrastructure Visibility"](https://www.g2.com/survey_responses/opmanager-nexus-review-13121842)**

**Rating:** 4.5/5.0 stars

_— Tarun A._

[Read full review](https://www.g2.com/survey_responses/opmanager-nexus-review-13121842)

**["Centralized NOC Dashboards and Real-Time Monitoring Made Simple"](https://www.g2.com/survey_responses/opmanager-nexus-review-13134137)**

**Rating:** 5.0/5.0 stars

_— Francesco T._

[Read full review](https://www.g2.com/survey_responses/opmanager-nexus-review-13134137)

#### What Are G2 Users Discussing About OpManager Nexus?

- [What is ManageEngine OpManager used for?](https://www.g2.com/discussions/what-is-manageengine-opmanager-used-for)
- [How do I upgrade ManageEngine OpManager?](https://www.g2.com/discussions/how-do-i-upgrade-manageengine-opmanager) - 1 comment, 3 upvotes
- [What is ManageEngine software?](https://www.g2.com/discussions/manageengine-opmanager-what-is-manageengine-software) - 1 comment
- [How do you use OpManager tools?](https://www.g2.com/discussions/how-do-you-use-opmanager-tools) - 1 comment
- [What is the use of OpManager?](https://www.g2.com/discussions/what-is-the-use-of-opmanager)

### [Atera](https://www.g2.com/products/atera/reviews)

The first and only Agentic AI platform for IT management, offers a digital workforce of AI agents that proactively and autonomously support your entire IT operation. Atera’s all-in-one IT management platform consolidates RMM, helpdesk, ticketing, advanced reporting and automation- thus empowering IT teams and MSPs to efficiently manage and protect infrastructure, automate tasks, and boost service quality by reducing downtime and improving SLAs. Introducing Robin by Atera: It isn’t another IT solution, it’s a transformation in how organization scale IT. This evolution paves the way for Autonomous IT, shifting the modus operandi from reactive or routine automation to proactive and preemptive action. (1) Cut 40% of your IT workload: Eliminate 100% of tasks that drain your team’s time. Robin doesn’t just assist, it acts and resolves. (2) Always-on. No downtime: Deliver 24/7/365 IT support, no vacations, no sick leave. (3) A personal IT tech for every employee: Intelligent, context-aware AI agent that understands your environment, adapts to each user, responds instantly, and resolves autonomously. Plus, early-adopters have said it’s also quite polite. Atera is pioneering the shift from automation to AI-powered autonomy in IT. With our AI agents, IT teams can offload repetitive tasks, resolve issues faster, ensure better service, and focus on strategy rather than fix/break or firefighting. We maintain the highest security and compliance standards and follow responsible AI frameworks, ensuring our AI can be a trusted extension of your IT team. Trusted by over 13K customers in 120+ countries, Atera offers a scalable solution enabling organizations to drive sustainable growth and maximize organizational efficiency. Discover how Atera can help you achieve unparalleled IT efficiency. Try Atera free for 30 days at: www.atera.com

**Average Rating:** 4.6/5.0

**Total Reviews:** 1,219

#### How Do G2 Users Rate Atera?

- **Systems Monitoring:** 8.8/10 (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:** 5.1/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Atera?

- **Seller:** [Atera](https://www.g2.com/sellers/atera)
- **Company Website:** www.atera.com
- **Year Founded:** 2011
- **HQ Location:** Tel Aviv
- **Twitter:** @AteraCloud  
1,675 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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)  
415 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Owner, IT Manager
- **Top Industries:** Information Technology and Services, Computer & Network Security
- **Company Size:** 55% Small, 30% Medium

#### What Do G2 Reviewers Say About Atera?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Atera to be incredibly **easy to use** , streamlining workstation and server management in one place.
- Users value the **powerful automation tools** of Atera, enabling efficient workstation and server management through scripts and remote access.
- Users appreciate the **all-in-one dashboard** of Atera, which streamlines their workflow and enhances productivity drastically.
- Users value the **efficiency** of Atera, noting its automation and ease of use streamline their device management.
- Users appreciate Atera's **proactive monitoring** , enhancing efficiency with a seamless all-in-one dashboard for better workflow.

##### Cons

- Users note **missing features** like checklists and insufficient alert context, complicating their overall Atera experience.
- Users find the **limited features** of Atera restrictive, especially in the mobile app and billing options.
- Users report that **improvement is needed** in Atera's interface changes and remote access reliability, impacting workflows.
- Users note that **report loading times and limited customization** can hinder efficiency and usability within Atera.
- Users highlight **feature issues** with Atera, including inconvenient billing increments and disruptive interface changes.

#### What Are Recent G2 Reviews of Atera?

**["Atera boosts productivity with automations, WhatsApp, and reports"](https://www.g2.com/survey_responses/atera-review-13106823)**

**Rating:** 5.0/5.0 stars

_— Fabian M._

[Read full review](https://www.g2.com/survey_responses/atera-review-13106823)

**["A practical way to coordinate technicians, users, and infrastructure work"](https://www.g2.com/survey_responses/atera-review-13121276)**

**Rating:** 4.5/5.0 stars

_— Alamgir H._

[Read full review](https://www.g2.com/survey_responses/atera-review-13121276)

#### What Are G2 Users Discussing About Atera?

- [What is Atera used for?](https://www.g2.com/discussions/what-is-atera-used-for) - 1 comment
- [What is the best RMM tool?](https://www.g2.com/discussions/what-is-the-best-rmm-tool) - 1 comment
- [Is atera safe?](https://www.g2.com/discussions/is-atera-safe) - 2 comments
- [What is atera RMM?](https://www.g2.com/discussions/what-is-atera-rmm) - 1 comment
- [What is atera software?](https://www.g2.com/discussions/what-is-atera-software) - 1 comment

### [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:** 469

#### 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?

**["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)

**["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)

#### What Are G2 Users Discussing About IBM Instana?

- [¿Qué es el Monitoreo del Rendimiento de Aplicaciones (APM)?](https://www.g2.com/es/discussions/what-is-application-performance-monitoring-apm) - 2 comments
- [What is Instana?](https://www.g2.com/es/discussions/instana-what-is-instana)
- [¿Qué es Instana?](https://www.g2.com/es/discussions/what-is-instana) - 2 comments

### [Dynatrace](https://www.g2.com/products/dynatrace/reviews)

Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. Learn more at www.dynatrace.com.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1,234

#### How Do G2 Users Rate Dynatrace?

- **Systems Monitoring:** 8.8/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 8.5/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10)
- **Reporting:** 8.2/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Dynatrace?

- **Seller:** [Dynatrace](https://www.g2.com/sellers/dynatrace)
- **Year Founded:** 2005
- **HQ Location:** Boston, MA
- **Twitter:** @Dynatrace  
18,668 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=83c43c7495079d745f57a9f8c381cbe86f78689894d05ac3e6cb0ba76b16494d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F125999%2F&secure%5Burl_type%5D=linkedin_company_website)  
6,060 employees on LinkedIn®
- **Ownership:** NYSE: DT

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 69% Large, 23% Medium

#### What Do G2 Reviewers Say About Dynatrace?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of Dynatrace, highlighting its intuitive navigation and quick installation process.
- Users value the **real-time break point feature** for debugging code in production, enhancing their development process.
- Users commend the **quick information gathering** of Dynatrace, enhancing bug detection and overall debugging efficiency.
- Users value the **comprehensive data gathering** capabilities of Dynatrace, enabling efficient bug detection without production interruptions.
- Users find **monitoring** capabilities invaluable for quick insights and timely alerts on system issues, enhancing reliability.

##### Cons

- Users find the **learning curve steep** , with challenges in instrumentation and understanding the system effectively.
- Users are frustrated with **missing features** in Dynatrace, impacting data extraction and overall usability.
- Users find the **complexity of instrumentation** with Dynatrace can hinder effective problem investigation and ease of use.
- Users feel the **UI could be less cluttered** , making navigation and log viewing cumbersome for newcomers.
- Users find the **steep learning curve** of Dynatrace challenging, making it difficult to fully utilize its features.

#### What Are Recent G2 Reviews of Dynatrace?

**["Comprehensive Observability, Excellent AI, but Complex Pricing"](https://www.g2.com/survey_responses/dynatrace-review-13111992)**

**Rating:** 4.0/5.0 stars

_— Vishnu Vardhan N._

[Read full review](https://www.g2.com/survey_responses/dynatrace-review-13111992)

**["Davis AI Delivers Clear Root-Cause Insights and Real-Time User Monitoring"](https://www.g2.com/survey_responses/dynatrace-review-12645823)**

**Rating:** 4.5/5.0 stars

_— Sabina K._

[Read full review](https://www.g2.com/survey_responses/dynatrace-review-12645823)

#### What Are G2 Users Discussing About Dynatrace?

- [What is Dynatrace used for?](https://www.g2.com/discussions/what-is-dynatrace-used-for) - 3 comments
- [How do you use Rookout?](https://www.g2.com/discussions/how-do-you-use-rookout)
- [What is the use of Rookout?](https://www.g2.com/discussions/what-is-the-use-of-rookout)
- [What is offline debugging?](https://www.g2.com/discussions/what-is-offline-debugging)
- [What does Rookout do?](https://www.g2.com/discussions/what-does-rookout-do) - 2 comments

### [Datadog](https://www.g2.com/products/datadog/reviews)

Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. The SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

**Average Rating:** 4.4/5.0

**Total Reviews:** 715

#### How Do G2 Users Rate Datadog?

- **Systems Monitoring:** 9.4/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 9.1/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10)
- **Reporting:** 9.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Datadog?

- **Seller:** [Datadog](https://www.g2.com/sellers/datadog)
- **Company Website:** www.datadoghq.com
- **Year Founded:** 2010
- **HQ Location:** New York
- **Twitter:** @datadoghq  
51,207 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, DevOps Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 47% Medium, 34% Large

#### What Do G2 Reviewers Say About Datadog?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Datadog, appreciating intuitive dashboards and seamless integrations for monitoring.
- Users value the **user-friendly monitoring features** of Datadog, appreciating its intuitive dashboards and quick integrations.
- Users value the **real-time monitoring** capabilities of Datadog, enhancing their operational awareness and response times.
- Users appreciate the **user-friendly interface** and **robust features** of Datadog for seamless monitoring and integration.
- Users value the **intuitive dashboard creation** in Datadog, making monitoring easy and effective across various environments.

##### Cons

- Users feel that Datadog's pricing is **expensive** , suggesting it should be more affordable for better access.
- Users find the **learning curve steep** , with many features overwhelming and requiring a higher level of experience.
- Users find the **pricing issues** of Datadog concerning, citing high costs that escalate unpredictably with added features.
- Users feel the **cost is too high** , especially as expenses can scale unpredictably with additional features and logs.
- Users report a **steep learning curve** with Datadog, finding setup and usage challenging for newcomers.

#### What Are Recent G2 Reviews of Datadog?

**["Faster incident detection and root-cause analysis, leading to better customer experience."](https://www.g2.com/survey_responses/datadog-review-12850013)**

**Rating:** 4.5/5.0 stars

_— Bertrand P._

[Read full review](https://www.g2.com/survey_responses/datadog-review-12850013)

**["Datadog: Unified Logs, Metrics & Traces for Real-Time Visibility and Faster Debugging"](https://www.g2.com/survey_responses/datadog-review-13049319)**

**Rating:** 4.5/5.0 stars

_— Anshul S._

[Read full review](https://www.g2.com/survey_responses/datadog-review-13049319)

#### What Are G2 Users Discussing About Datadog?

- [How good is Datadog?](https://www.g2.com/discussions/how-good-is-datadog)
- [Does Datadog use AWS?](https://www.g2.com/discussions/does-datadog-use-aws) - 2 comments
- [What can Datadog monitor?](https://www.g2.com/discussions/what-can-datadog-monitor)
- [What is the use of Datadog?](https://www.g2.com/discussions/what-is-the-use-of-datadog) - 3 comments

### [Rakuten SixthSense Observability](https://www.g2.com/it/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?

- **Monitoraggio dei Sistemi:** 9.5/10 (Category avg: 9.0/10)
- **Intelligenza Artificiale:** 9.0/10 (Category avg: 8.6/10)
- **Ritiene che the product sia stato un valido partner commerciale?:** 9.2/10 (Category avg: 9.1/10)
- **Segnalazione:** 8.6/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Rakuten SixthSense Observability?

- **Venditore:** [Rakuten SixthSense](https://www.g2.com/it/sellers/rakuten-sixthsense-f1af4c23-8be7-4bf4-a775-a4d50eebce5d)
- **Anno di Fondazione:** 2016
- **Sede centrale:** Bengaluru, IN
- **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/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 dipendenti su LinkedIn®
- **Proprietà:** TYO: 4755

#### Who Uses This Product?

- **Who Uses This:** Senior Software Engineer
- **Top Industries:** Tecnologia dell'informazione e servizi, Videogiochi
- **Company Size:** 47% Large, 38% Medium

#### What Do G2 Reviewers Say About Rakuten SixthSense Observability?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti apprezzano la **profonda visibilità** sulle prestazioni delle applicazioni fornita da Rakuten SixthSense, migliorando il rilevamento proattivo delle anomalie e il processo decisionale.
- Gli utenti apprezzano il **sistema di allerta efficiente** , che consente rapidi passaggi dagli avvisi alla risoluzione del codice in un'unica dashboard.
- Gli utenti apprezzano il **eccellente supporto clienti** di Rakuten SixthSense, migliorando la loro esperienza con la piattaforma.
- Gli utenti apprezzano la **facilità d'uso** di Rakuten SixthSense Observability, semplificando la risoluzione dei problemi con un'interfaccia intuitiva.
- Gli utenti apprezzano la **facile implementazione** di Rakuten SixthSense Observability, rendendo il monitoraggio e il debugging semplici ed efficienti.

##### Cons

- Gli utenti trovano la **configurazione complessa** impegnativa, richiedendo un notevole sforzo di onboarding nonostante il supporto reattivo per la personalizzazione.
- Gli utenti trovano la **scarsa documentazione** di Rakuten SixthSense Observability insufficiente, ostacolando l'uso efficace e l'integrazione.
- Gli utenti segnalano **falsi positivi negli avvisi** e desiderano una funzionalità migliorata per la visualizzazione tempestiva dei registri degli errori e delle notifiche.
- Gli utenti notano il **sistema di allerta inefficiente** , citando frequenti falsi positivi e la mancanza delle funzionalità desiderate di reportistica del dashboard.
- Gli utenti ritengono che **la documentazione necessiti di miglioramenti** per migliorare l'usabilità complessiva e l'esperienza utente dello strumento.

#### What Are Recent G2 Reviews of Rakuten SixthSense Observability?

**["Un ottimo strumento di monitoraggio e osservabilità SAAS"](https://www.g2.com/it/survey_responses/rakuten-sixthsense-observability-review-11287792)**

**Rating:** 5.0/5.0 stars

_— Utente verificato in Videogiochi_

[Read full review](https://www.g2.com/it/survey_responses/rakuten-sixthsense-observability-review-11287792)

**["Ottimo strumento di monitoraggio!"](https://www.g2.com/it/survey_responses/rakuten-sixthsense-observability-review-8230168)**

**Rating:** 5.0/5.0 stars

_— Utente verificato in Tecnologia dell'informazione e servizi_

[Read full review](https://www.g2.com/it/survey_responses/rakuten-sixthsense-observability-review-8230168)

### [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:** 4.4/5.0

**Total Reviews:** 27

#### How Do G2 Users Rate ScienceLogic AI Platform?

- **Systems Monitoring:** 9.0/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 8.9/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Reporting:** 8.8/10 (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)  
580 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 50% Large, 29% 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?

**["Cuts Through Alert Noise, Gets Us to Root Cause Faster"](https://www.g2.com/survey_responses/sciencelogic-ai-platform-review-13170810)**

**Rating:** 5.0/5.0 stars

_— Uday T._

[Read full review](https://www.g2.com/survey_responses/sciencelogic-ai-platform-review-13170810)

**["Pros and Cons of using ScienceLogic Platform"](https://www.g2.com/survey_responses/sciencelogic-ai-platform-review-10800224)**

**Rating:** 4.5/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/sciencelogic-ai-platform-review-10800224)

#### 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)

### [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:** 89

#### 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:** 52% 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?

**["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)

**["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)

#### 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/products/new-relic/reviews)

New Relic is the all-in-one Intelligent Observability platform built to help engineering and IT teams plan, build, deploy, and run software with confidence. By unifying metrics, events, logs, and traces into a single, secure telemetry cloud, New Relic gives over 25 million engineers real time visibility and AI-powered insights across their entire digital estate, from code to cloud. Designed to replace fragmented point solutions, New Relic consolidates full-stack observability into a single source of truth. The platform brings together Application Performance Monitoring (APM), infrastructure monitoring, log management, digital experience monitoring (DEM), container monitoring, and AIOps into one cohesive interface. Powered by an advanced AI engine, New Relic automatically pairs telemetry data to shift problem solving from reactive debugging to proactive and predictive resolution, helping teams reduce mean time to resolution (MTTR) and eliminate digital disruptions before they impact end users. Equipped with over 500 open source integrations, New Relic seamlessly connects with your existing stack. Coupled with transparent, consumption and user-based pricing, organizations gain full predictability over their costs without sacrificing telemetry depth.

**Average Rating:** 4.4/5.0

**Total Reviews:** 571

#### How Do G2 Users Rate New Relic?

- **Systems Monitoring:** 9.8/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 9.8/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10)
- **Reporting:** 9.4/10 (Category avg: 8.8/10)

#### Who Is the Company Behind New Relic?

- **Seller:** [New Relic](https://www.g2.com/sellers/new-relic)
- **Company Website:** newrelic.com
- **Year Founded:** 2008
- **HQ Location:** San Francisco, CA
- **Twitter:** @newrelic  
65,727 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 43% Medium, 30% Large

#### What Do G2 Reviewers Say About New Relic?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **easy and intuitive interface** of New Relic, simplifying navigation and usability significantly.
- Users value the **real-time monitoring** capabilities of New Relic, enhancing their insights and application performance management.
- Users value the **real-time monitoring** capabilities of New Relic, which enhance issue detection and resolution efficiency.
- Users value the **comprehensive observability capabilities** of New Relic, enabling effective monitoring and insight into application performance.
- Users appreciate the **detailed analytics** and customizable dashboards of New Relic, enhancing real-time insights and performance monitoring.

##### Cons

- Users find New Relic's pricing model **expensive** , particularly for teams managing high data volumes or multiple users.
- Users find the **pricing model expensive** for larger teams, particularly when dealing with high data volumes.
- Users find the **steep learning curve** of New Relic challenging, requiring time to fully understand the platform.
- Users find the **complexity** of New Relic's interface and pricing structure daunting, impacting ease of use.
- Users find **difficult learning** curves with NRQL and feature overload, making onboarding and navigation challenging for newcomers.

#### What Are Recent G2 Reviews of New Relic?

**["New Relic User Experience Review"](https://www.g2.com/survey_responses/new-relic-review-10695865)**

**Rating:** 5.0/5.0 stars

_— bhavik m._

[Read full review](https://www.g2.com/survey_responses/new-relic-review-10695865)

**["End-to-End Observability That Makes Troubleshooting Faster"](https://www.g2.com/survey_responses/new-relic-review-13057378)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/new-relic-review-13057378)

#### What Are G2 Users Discussing About New Relic?

- [What does observability mean?](https://www.g2.com/discussions/what-does-observability-mean)
- [How do you use New Relic?](https://www.g2.com/discussions/how-do-you-use-new-relic)
- [What is full stack visibility?](https://www.g2.com/discussions/what-is-full-stack-visibility) - 2 comments
- [What is New Relic tool used for?](https://www.g2.com/discussions/what-is-new-relic-tool-used-for) - 1 comment

### [IBM Turbonomic](https://www.g2.com/it/products/ibm-turbonomic/reviews)

IBM Turbonomic, ora parte della piattaforma Concert, è una piattaforma di gestione delle risorse applicative in tempo reale progettata per aiutare gli utenti a ottimizzare e gestire le risorse in ambienti ibridi e multi-cloud. Questa soluzione innovativa analizza continuamente le prestazioni delle applicazioni e l'utilizzo delle risorse, automatizzando le decisioni critiche sulle risorse per garantire prestazioni ottimali delle applicazioni riducendo al minimo i costi associati alle risorse cloud e infrastrutturali. IBM Turbonomic affronta le sfide della gestione di ambienti complessi e dinamici. Man mano che le organizzazioni adottano sempre più strategie ibride e multi-cloud, la necessità di una gestione efficace delle risorse diventa fondamentale. Turbonomic offre un approccio completo alla gestione delle prestazioni analizzando l'intero stack tecnologico, identificando inefficienze e scoprendo dipendenze che possono influire sulle prestazioni delle applicazioni. Questa capacità di gestione proattiva consente alle organizzazioni di mantenere alti livelli di servizio controllando i costi. Una delle caratteristiche chiave di IBM Turbonomic è la sua capacità di regolare continuamente le risorse applicative in tempo reale. Monitorando l'utilizzo delle risorse e le prestazioni delle applicazioni, Turbonomic previene il degrado delle prestazioni e il sovradimensionamento. Questo aggiustamento dinamico garantisce che le applicazioni ricevano le risorse necessarie quando necessario, il che è cruciale per mantenere livelli di prestazioni ottimali. Inoltre, la piattaforma automatizza le decisioni sulle risorse come il dimensionamento e il posizionamento, consentendo alle organizzazioni di concentrarsi su iniziative strategiche piuttosto che su compiti manuali di gestione delle risorse. I clienti di Turbonomic riportano una riduzione media del 33% degli sprechi di cloud e infrastruttura senza influire sulle prestazioni delle applicazioni e un ritorno sull'investimento del 471% in tre anni. IBM Turbonomic è disponibile anche su AWS Marketplace. Sfruttando Turbonomic, le aziende possono garantire che le loro applicazioni funzionino senza problemi, le risorse siano utilizzate efficacemente e i costi siano tenuti sotto controllo, il tutto mantenendo un focus sull'innovazione e la crescita. Per ulteriori informazioni, visitare www.ibm.com/products/turbonomic

**Average Rating:** 4.4/5.0

**Total Reviews:** 288

#### How Do G2 Users Rate IBM Turbonomic?

- **Monitoraggio dei Sistemi:** 8.7/10 (Category avg: 9.0/10)
- **Intelligenza Artificiale:** 8.5/10 (Category avg: 8.6/10)
- **Ritiene che the product sia stato un valido partner commerciale?:** 8.9/10 (Category avg: 9.1/10)
- **Segnalazione:** 8.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind IBM Turbonomic?

- **Venditore:** [IBM](https://www.g2.com/it/sellers/ibm)
- **Sito web dell'azienda:** www.ibm.com
- **Anno di Fondazione:** 1911
- **Sede centrale:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 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=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 dipendenti su LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, System Engineer
- **Top Industries:** Tecnologia dell'informazione e servizi, Software per computer
- **Company Size:** 43% Large, 32% Medium

#### What Do G2 Reviewers Say About IBM Turbonomic?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti apprezzano l' **ottimizzazione dei costi** ottenuta da IBM Turbonomic, beneficiando di una gestione delle risorse migliorata e di spese ridotte.
- Gli utenti apprezzano la **facilità d'uso** di IBM Turbonomic, rendendo la gestione delle risorse e l'analisi del carico di lavoro semplici ed efficienti.
- Gli utenti ammirano l' **automazione impressionante** di IBM Turbonomic, che gestisce efficacemente le risorse e migliora le prestazioni senza intervento manuale.
- Gli utenti apprezzano l' **ottimizzazione automatizzata delle risorse** di IBM Turbonomic, migliorando le prestazioni e semplificando gli sforzi di gestione delle risorse.
- Gli utenti apprezzano il **monitoraggio in tempo reale** di Turbonomic per i suoi approfondimenti attuabili che migliorano le prestazioni e l'affidabilità.

##### Cons

- Gli utenti affrontano una **ripida curva di apprendimento** con IBM Turbonomic, rendendo l'installazione e la configurazione iniziale impegnative per i nuovi arrivati.
- Gli utenti lottano con una **ripida curva di apprendimento** per IBM Turbonomic, richiedendo tempo e sforzo per comprenderne le complessità.
- Gli utenti affrontano un **processo di configurazione complesso** che ostacola un rapido onboarding e un'esperienza senza interruzioni con IBM Turbonomic.
- Gli utenti affrontano una significativa **curva di apprendimento** con IBM Turbonomic, richiedendo tempo e pazienza per un uso efficace.
- Gli utenti trovano la **configurazione difficile** di IBM Turbonomic impegnativa, richiedendo tempo e sforzo significativi per comprendere e configurare.

#### What Are Recent G2 Reviews of IBM Turbonomic?

**["Ottimizzatore Avanzato di Infrastruttura con requisiti di configurazione impegnativi."](https://www.g2.com/it/survey_responses/ibm-turbonomic-review-12821189)**

**Rating:** 4.0/5.0 stars

_— Pardeep J._

[Read full review](https://www.g2.com/it/survey_responses/ibm-turbonomic-review-12821189)

**["Ottimizzazione delle risorse più intelligente con l'automazione in tempo reale"](https://www.g2.com/it/survey_responses/ibm-turbonomic-review-12380847)**

**Rating:** 5.0/5.0 stars

_— Bishal D._

[Read full review](https://www.g2.com/it/survey_responses/ibm-turbonomic-review-12380847)

#### What Are G2 Users Discussing About IBM Turbonomic?

- [How much does Turbonomic cost?](https://www.g2.com/it/discussions/how-much-does-turbonomic-cost)
- [Who uses Turbonomic?](https://www.g2.com/it/discussions/who-uses-turbonomic)
- [What is Turbonomic IBM?](https://www.g2.com/it/discussions/what-is-turbonomic-ibm)
- [What is Turbonomic used for?](https://www.g2.com/it/discussions/what-is-turbonomic-used-for)

### [SysAid](https://www.g2.com/products/sysaid/reviews)

SysAid is a robust IT Service Management (ITSM) platform powered by Agentic AI, automating the repetitive, time-consuming work that keeps teams stuck in reactive mode. Adding a powerful new operational layer to IT, AI Agents take the first action, freeing IT teams to focus on optimization, innovation, and bigger challenges. Go live in weeks with fast onboarding, no heavy migrations, or steep learning curves. SysAid’s AI is purpose-built for IT, with security and governance built in. With our award-winning support, you’re set up for success. ITSM run by AI, and you.

**Average Rating:** 4.5/5.0

**Total Reviews:** 717

#### How Do G2 Users Rate SysAid?

- **Artificial Intelligence:** 10.0/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Reporting:** 10.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind SysAid?

- **Seller:** [SysAid](https://www.g2.com/sellers/sysaid)
- **Company Website:** www.sysaid.com
- **Year Founded:** 2002
- **HQ Location:** Toronto, Canada
- **Twitter:** @sysaid  
9,591 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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)  
263 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** IT Manager, System Administrator
- **Top Industries:** Information Technology and Services, Hospital & Health Care
- **Company Size:** 60% Medium, 30% Large

#### What Do G2 Reviewers Say About SysAid?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of SysAid, enhancing efficiency in IT service management and support tasks.
- Users praise the **excellent customer support** from SysAid that enhances their ticket management and communication processes.
- Users commend SysAid's **automation features** for enhancing efficiency in ticket routing and improving response times.
- Users appreciate the **robust ITSM features** of SysAid, enabling efficient ticketing, asset tracking, and automated workflows.
- Users value the **efficient ticket management** in SysAid, enhancing service delivery and asset tracking seamlessly.

##### Cons

- Users find the **missing features** in SysAid limiting, especially regarding API functionality and reporting capabilities.
- Users experience a **steep learning curve** with SysAid due to complex setup and extensive customization options.
- Users find the **clunky interface** of SysAid challenging, affecting usability and efficiency in managing tasks.
- Users experience **poor customer support** with slow response and resolution times, leading to frustrating delays and unresolved issues.
- Users find the **complex setup** of SysAid challenging, with difficult configurations and unoptimized mobile performance hindering efficiency.

#### What Are Recent G2 Reviews of SysAid?

**["SysAid meets you HelpDesk needs"](https://www.g2.com/survey_responses/sysaid-review-8279742)**

**Rating:** 5.0/5.0 stars

_— Paul D._

[Read full review](https://www.g2.com/survey_responses/sysaid-review-8279742)

**["Strong User Experience with Room for Developer Documentation Improvements"](https://www.g2.com/survey_responses/sysaid-review-12829911)**

**Rating:** 4.5/5.0 stars

_— Barry Q._

[Read full review](https://www.g2.com/survey_responses/sysaid-review-12829911)

#### What Are G2 Users Discussing About SysAid?

- [What is SysAid used for?](https://www.g2.com/discussions/what-is-sysaid-used-for) - 1 comment
- [How do I upgrade my SysAid?](https://www.g2.com/discussions/how-do-i-upgrade-my-sysaid) - 1 comment
- [Why did you choose service management program?](https://www.g2.com/discussions/why-did-you-choose-service-management-program) - 1 comment
- [How much are Sysaids?](https://www.g2.com/discussions/how-much-are-sysaids)
- [Are Sysaids free?](https://www.g2.com/discussions/are-sysaids-free) - 1 comment

### [Better Stack](https://www.g2.com/it/products/better-stack/reviews)

Better Stack è uno strumento di osservabilità SRE basato su eBPF e AI. Aiuta gli ingegneri a distribuire software di alta qualità più velocemente e a essere l'eroe dei loro team di ingegneria.

**Average Rating:** 4.8/5.0

**Total Reviews:** 329

#### How Do G2 Users Rate Better Stack?

- **Ritiene che the product sia stato un valido partner commerciale?:** 9.6/10 (Category avg: 9.1/10)

#### Who Is the Company Behind Better Stack?

- **Venditore:** [Better Stack](https://www.g2.com/it/sellers/better-stack-3c077b8c-37c5-4d79-9e19-15cf3bd1960b)
- **Anno di Fondazione:** 2021
- **Sede centrale:** San Francisco, CA
- **Twitter:** @BetterStackHQ  
10,698 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=979819b5500b293fa36195dbf4bf6aea9e2ac71cc12348a9c99e1d21028cc158&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbetterstack%2F&secure%5Burl_type%5D=linkedin_company_website)  
31 dipendenti su LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO, CTO
- **Top Industries:** Software per computer, Tecnologia dell'informazione e servizi
- **Company Size:** 88% Small, 8% Medium

#### What Do G2 Reviewers Say About Better Stack?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti apprezzano la **facilità d'uso** in Better Stack, elogiando la sua configurazione intuitiva e le capacità di monitoraggio affidabili.
- Gli utenti evidenziano la **facilità di configurazione** di Better Stack, apprezzandone la semplicità e il processo di integrazione fluido.
- Gli utenti elogiano la **eccellente interfaccia utente** di Better Stack, migliorando l'efficienza del monitoraggio e del flusso di lavoro per i team di sviluppo.
- Gli utenti evidenziano la **straordinaria facilità di configurazione** di Better Stack, rendendolo rapido e intuitivo da avviare.
- Gli utenti apprezzano le **notifiche istantanee** di Better Stack, garantendo risposte tempestive ai problemi di inattività e una gestione proattiva degli incidenti.

##### Cons

- Gli utenti trovano il prezzo di Better Stack **costoso** dopo i limiti del livello gratuito, in particolare per le funzionalità personalizzate.
- Gli utenti sono frustrati dalla **mancanza di funzionalità** come l'integrazione con Discord e le restrizioni sui cambiamenti di proprietà del sito web.
- Gli utenti trovano i **problemi di prezzo** problematici dopo aver superato i limiti del livello gratuito, con costi più elevati per le funzionalità avanzate.
- Gli utenti trovano che Better Stack abbia **funzionalità limitate** , come il supporto ritardato per domini personalizzati e la mancanza di opzioni per la dashboard.
- Gli utenti trovano la **gestione dei log impegnativa** , lottando con la navigazione dell'interfaccia utente e occasionali fallimenti nella raccolta dei log.

#### What Are Recent G2 Reviews of Better Stack?

**["Strumento essenziale gratuito per un monitoraggio del sito web senza sforzo"](https://www.g2.com/it/survey_responses/better-stack-review-13077620)**

**Rating:** 4.5/5.0 stars

_— Utente verificato in Media online_

[Read full review](https://www.g2.com/it/survey_responses/better-stack-review-13077620)

**["Better Stack semplifica il monitoraggio, l'allerta e i log con un rilevamento delle interruzioni rapido e affidabile."](https://www.g2.com/it/survey_responses/better-stack-review-12954208)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/it/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/it/discussions/which-tools-can-you-use-to-monitor-a-website-s-uptime)
- [What is Hexometer browser?](https://www.g2.com/it/discussions/better-uptime-what-is-hexometer-browser)
- [What is betteruptime?](https://www.g2.com/it/discussions/what-is-betteruptime)
- [Uptime migliore è gratuito?](https://www.g2.com/it/discussions/is-better-uptime-free) - 7 comments, 1 upvote

### [PagerDuty](https://www.g2.com/products/pagerduty/reviews)

PagerDuty helps organizations of all sizes deliver seamless digital experiences by providing real-time insights and automation through the PagerDuty Operations Cloud. Designed to manage critical incidents, PagerDuty enables teams to detect, assess, and resolve issues faster, preventing downtime and ensuring business continuity. Key Features and Product Functionality PagerDuty Operations Cloud is the heart of our platform, providing proactive incident response, on-call management, automated workflows, and AI-powered insights. With seamless integrations to over 700 tools, including monitoring and collaboration platforms, PagerDuty helps teams centralize their operations to improve service reliability and avoid disruption. What Makes us Different PagerDuty empowers teams to solve critical problems quickly and efficiently, enhancing operational resilience and improving overall performance. Trusted by leading organizations, the Operations Cloud is uniquely built to handle the complexities of today’s digital businesses. Our ability to deliver real-time incident resolution sets us apart, giving IT leaders and CIOs the confidence to maintain always-on services. Get Started Experience the power of the PagerDuty Operations Cloud. Learn more and start your free trial at www.pagerduty.com/free-trial

**Average Rating:** 4.5/5.0

**Total Reviews:** 948

#### How Do G2 Users Rate PagerDuty?

- **Systems Monitoring:** 9.7/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 9.6/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Reporting:** 9.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind PagerDuty?

- **Seller:** [PagerDuty](https://www.g2.com/sellers/pagerduty)
- **Company Website:** www.pagerduty.com
- **Year Founded:** 2009
- **HQ Location:** San Francisco, CA
- **Twitter:** @pagerduty  
24,689 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=939d4e3ae38c9948c223fac14287559f3202cb25d6188d5a010904c292c7c1f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F482819%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,267 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 44% Medium, 38% Large

#### What Do G2 Reviewers Say About PagerDuty?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **automated and priority-based notifications** from PagerDuty, enhancing incident response and reducing resolution time.
- Users value the **automated and priority-based notifications** of PagerDuty, ensuring timely responses and reducing downtime.
- Users praise the **ease of integration and reliable management** of alerts with PagerDuty's intuitive features.
- Users appreciate the **ease of use** of PagerDuty, enjoying intuitive features and seamless incident management.
- Users value the **easy integrations** with various tools like Slack and AWS, enhancing collaboration and incident management.

##### Cons

- Users find the **alert issues** in PagerDuty lead to confusion and limits on workflow customization, impacting efficiency.
- Users find the **pricing to be high** , especially for small teams and features that should be included in one plan.
- Users find the **complexity of the interface** in PagerDuty challenging, particularly for new users navigating the system.
- Users often find the **inefficient alert system** overwhelming, leading to unnecessary disruptions and complexity in management.
- Users find the **UI complex** and sometimes clunky, especially challenging for new users navigating through it.

#### What Are Recent G2 Reviews of PagerDuty?

**["Stay on top of your incident management alerts on the Go!"](https://www.g2.com/survey_responses/pagerduty-review-9920149)**

**Rating:** 4.5/5.0 stars

_— Joshua O._

[Read full review](https://www.g2.com/survey_responses/pagerduty-review-9920149)

**["Technical efficiency approach"](https://www.g2.com/survey_responses/pagerduty-review-12856233)**

**Rating:** 4.0/5.0 stars

_— Johnny C._

[Read full review](https://www.g2.com/survey_responses/pagerduty-review-12856233)

#### What Are G2 Users Discussing About PagerDuty?

- [What is PagerDuty used for?](https://www.g2.com/discussions/what-is-pagerduty-used-for) - 2 comments
- [Who are PagerDuty competitors?](https://www.g2.com/discussions/who-are-pagerduty-competitors)
- [How much does PagerDuty cost?](https://www.g2.com/discussions/how-much-does-pagerduty-cost) - 1 comment
- [Who uses PagerDuty?](https://www.g2.com/discussions/who-uses-pagerduty)
- [What is PagerDuty software?](https://www.g2.com/discussions/what-is-pagerduty-software)

### [Site24x7](https://www.g2.com/it/products/site24x7/reviews)

ManageEngine Site24x7 offre un monitoraggio unificato del cloud per DevOps e operazioni IT all'interno di organizzazioni di piccole e grandi dimensioni. La soluzione monitora l'esperienza degli utenti reali che accedono a siti web e applicazioni da dispositivi desktop e mobili. Le capacità di monitoraggio approfondito consentono ai team DevOps di monitorare e risolvere problemi di applicazioni, server e infrastruttura di rete, inclusi cloud privati e pubblici. Il monitoraggio dell'esperienza dell'utente finale viene effettuato da oltre 100 località in tutto il mondo e vari operatori wireless.

**Average Rating:** 4.6/5.0

**Total Reviews:** 433

#### How Do G2 Users Rate Site24x7?

- **Monitoraggio dei Sistemi:** 9.8/10 (Category avg: 9.0/10)
- **Intelligenza Artificiale:** 8.1/10 (Category avg: 8.6/10)
- **Ritiene che the product sia stato un valido partner commerciale?:** 8.9/10 (Category avg: 9.1/10)
- **Segnalazione:** 9.4/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Site24x7?

- **Venditore:** [Zoho](https://www.g2.com/it/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704)
- **Anno di Fondazione:** 1996
- **Sede centrale:** Austin, TX
- **Twitter:** @Zoho  
137,880 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=9c8e45ddb296c32c6c5597ef9ba945c94562c57624f7bd1dcf1a9e9931f71578&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F38373%2F&secure%5Burl_type%5D=linkedin_company_website)  
30,766 dipendenti su LinkedIn®
- **Telefono:** +1 (888) 900-9646 

#### Who Uses This Product?

- **Who Uses This:** CEO, CTO
- **Top Industries:** Tecnologia dell'informazione e servizi, Software per computer
- **Company Size:** 45% Medium, 42% Small

#### What Do G2 Reviewers Say About Site24x7?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti apprezzano la **facilità d'uso** di Site24x7, beneficiando della sua interfaccia semplice e del supporto utile.
- Gli utenti apprezzano la **visibilità unificata** che collega senza soluzione di continuità le metriche del sito web e del server, risparmiando tempo senza sforzo.
- Gli utenti apprezzano le capacità di **monitoraggio in tempo reale** di Site24x7, rendendo il tracciamento delle prestazioni semplice ed efficiente.
- Gli utenti apprezzano le **ampie opzioni di monitoraggio** di Site24x7, che consentono una facile gestione di più risorse da un'unica interfaccia.
- Gli utenti amano la **facilità di configurazione e l'ampia visibilità** di Site24x7, rendendo il monitoraggio della rete efficiente e semplice.

##### Cons

- Gli utenti segnalano **avvisi mancanti** e difficoltà con le interfacce, influenzando l'efficienza e l'efficacia del monitoraggio degli eventi.
- Gli utenti trovano il **processo di integrazione degli strumenti complesso** , portando a confusione a causa della moltitudine di opzioni disponibili.
- Gli utenti trovano i prezzi di Site24x7 **costosi** , in particolare per le piccole imprese che necessitano di flessibilità.
- Gli utenti trovano che la **curva di apprendimento per le funzionalità avanzate** di Site24x7 possa essere ripida e scoraggiante.
- Gli utenti trovano l' **interfaccia utente mal progettata** , notando che manca di intuitività e sembra obsoleta, influenzando l'usabilità complessiva.

#### What Are Recent G2 Reviews of Site24x7?

**["Site24x7: Monitoraggio Unificato con Avvisi Intelligenti AI e Approfondimenti sulle Cause Principali"](https://www.g2.com/it/survey_responses/site24x7-review-13054966)**

**Rating:** 5.0/5.0 stars

_— Ravi R._

[Read full review](https://www.g2.com/it/survey_responses/site24x7-review-13054966)

**["Monitoraggio affidabile dell'infrastruttura tutto-in-uno"](https://www.g2.com/it/survey_responses/site24x7-review-13181155)**

**Rating:** 5.0/5.0 stars

_— Anees S._

[Read full review](https://www.g2.com/it/survey_responses/site24x7-review-13181155)

#### What Are G2 Users Discussing About Site24x7?

- [What is the use of network monitoring tool?](https://www.g2.com/it/discussions/what-is-the-use-of-network-monitoring-tool)
- [What is Site24x7?](https://www.g2.com/it/discussions/what-is-site24x7) - 1 comment
- [What are the key features of network monitoring tool?](https://www.g2.com/it/discussions/what-are-the-key-features-of-network-monitoring-tool)
- [Qual è l'uso di Site24x7?](https://www.g2.com/it/discussions/what-is-the-use-of-site24x7) - 1 comment

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[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

| 

 | 

Enterprise AIOps tied to ITSM workflows

 | 

User Review

"ServiceNow ITOM: Transforming IT Operations with AI‑Driven Intelligence"

 |
| 

 | 

AIOps for IT teams managing distributed remote endpoints

 | 

User Review

"A practical way to coordinate technicians, users, and infrastructure work"

 |
| 

 | 

Automatic application observability for cloud-native environments

 | 

User Review

"Comprehensive Monitoring, Steep Learning Curve"

 |
| 

 | 

Causal AI for root-cause identification across full stack

 | 

User Review

"Comprehensive Observability, Excellent AI, but Complex Pricing"

 |
| 

 | 

Unified observability with AI anomaly detection

 | 

User Review

"Faster incident detection and root-cause analysis, leading to better customer experience."

 |
| 

 | 

APM-focused observability for distributed systems

 | 

User Review

"A very good SAAS monitoring & observability tool"

 |
| 

 | 

OpenTelemetry-native observability on the Elastic stack

 | 

User Review

"APM is a Game-Changer for GKE Infrastructure"

 |
| 

 | 

Developer-focused performance insight

 | 

User Review

"New Relic User Experience Review"

 |

* * *

Show More

* * *

## How Do You Choose the Right AIOps Tools?

### What You Should Know About AIOps Tools and Platforms

### 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.