# Best AIOps Tools and Platforms - Page 2 *By [Tian Lin](https://research.g2.com/insights/author/tian-lin)* 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. --- ## What Are the Most Common Questions About AIOps Tools? *AI-generated · Last updated: May 26, 2026* ### What AIOps Platforms most relied on by software engineers and DevOps teams for monitoring Java-based applications? Based on G2 reviews, buyers looking for AIOps tools for application monitoring often describe products in terms of root cause analysis, real-time observability, and full-stack visibility rather than Java-specific positioning. According to verified users, IBM Instana is repeatedly cited for real-time monitoring, distributed tracing, automatic service discovery, and quick setup in dynamic application environments. G2 reviewers mention Dynatrace for automated root-cause insights and visibility across applications and user activity, while Datadog is noted for bringing logs, metrics, telemetry, and dashboards together for troubleshooting. Across reviews, teams value fast issue isolation, unified monitoring, and easier diagnosis in complex environments, though some users mention pricing concerns and a learning curve for advanced features. **Here are some of the top-rated products on G2:** - [IBM Instana](https://www.g2.com/products/ibm-instana/reviews/ibm-instana-review-12851013) – used for real-time observability, automatic discovery, and faster root cause analysis in microservices environments - [Dynatrace](https://www.g2.com/products/dynatrace/reviews/dynatrace-review-12210503) – chosen for application monitoring, anomaly-based alerts, and broad visibility across apps and cloud infrastructure - [Datadog](https://www.g2.com/products/datadog/reviews/datadog-review-12583844) – used to combine logs, metrics, telemetry, and dashboards for debugging across environments ### Which AIOps Platforms avoid hallucinative outputs and provide accurate, explainable root cause analysis? Based on G2 reviews, no product is described as fully eliminating inaccurate outputs, but reviewers do call out which platforms provide clearer and more explainable root cause workflows. According to verified users, Dynatrace is often praised for giving a single, clear answer rather than many confusing alerts, while IBM Instana is repeatedly mentioned for automated root cause analysis, correlated signals, and actionable views across services. G2 reviewers mention ServiceNow IT Operations Management for event management, service mapping, and alert grouping that helps teams trace incidents back to likely causes. At the same time, some users note false positives, noisy alerts, or the need for policy tuning in several platforms, so buyers should expect setup quality and data hygiene to influence explainability. **Here are some of the top-rated products on G2:** - [Dynatrace](https://www.g2.com/products/dynatrace/reviews/dynatrace-review-12645823) – highlighted for clear root-cause explanations and reduced troubleshooting effort during application issues - [IBM Instana](https://www.g2.com/products/ibm-instana/reviews/ibm-instana-review-12520981) – used for automated root cause analysis, service dependency mapping, and correlated traces - [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews/servicenow-it-operations-management-review-12774803) – used for event grouping, health log analytics, and reducing resolution time through alert correlation ### Which AIOps Platforms reduce alert fatigue by intelligently correlating events and prioritizing critical issues? Based on G2 reviews, several AIOps tools stand out for reducing alert fatigue through correlation, grouping, and prioritization. According to verified users, ServiceNow IT Operations Management is frequently described as centralizing alerts from many tools, grouping related events, and helping teams focus on the right issues faster. G2 reviewers mention BigPanda for turning noisy alerts into context-rich incidents and automating triage, while PagerDuty is praised for cutting through fragmented incident response with event orchestration, escalation workflows, and AI-generated incident summaries. Reviewers also note that good outcomes still depend on alert tuning and clean monitoring inputs, but these products are repeatedly associated with lower noise, faster triage, and clearer prioritization during active incidents. **Here are some of the top-rated products on G2:** - [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews/servicenow-it-operations-management-review-12769041) – used for event noise reduction, deduplication, and bringing alerts into one unified interface - [BigPanda](https://www.g2.com/products/bigpanda/reviews/bigpanda-review-12853743) – chosen for alert correlation, added incident context, and faster triage - [PagerDuty](https://www.g2.com/products/pagerduty/reviews/pagerduty-review-12813126) – used to centralize incidents, summarize context, and route critical issues to the right responders ### What AIOps Platforms adopted by software engineers among teams past the first quarter of use? Based on G2 reviews, sustained adoption tends to show up in comments about daily use, smoother workflows, and reduced dependence on manual troubleshooting after implementation. According to verified users, ServiceNow IT Operations Management is often described as becoming a central system for CMDB visibility, event management, and operational workflows once teams are trained and configured. G2 reviewers mention Digitate as helping teams move from reactive support to proactive operations through noise reduction, automation, and self-healing, while ScienceLogic AI Platform is noted for hybrid visibility and workflow automation after teams invest in tuning and onboarding. Reviews suggest that continued use depends on whether organizations can manage complexity, setup effort, and training needs early on. ### What highest rated AIOps Platforms for monitoring web applications and providing end-to-end service visibility? Based on G2 reviews, IBM Instana is the strongest match for this question because verified users consistently highlight end-to-end tracing, automatic discovery, dynamic topology maps, and real-time visibility across services. According to verified users, Instana helps teams move from latency detection to pinpointing the source of issues without heavy manual instrumentation, making it well suited for monitoring modern web applications. G2 reviewers also describe seamless correlation across logs, traces, and metrics, along with useful service maps that show dependencies clearly. Some users mention pricing, dashboard rigidity, and a learning curve, but the recurring theme is strong application observability and fast root cause analysis across distributed environments, which aligns closely with end-to-end service visibility needs. ### Which AIOps Platforms help teams catch technical issues before they become actual problems affecting users? Based on G2 reviews, proactive detection is a common strength across several AIOps tools. According to verified users, Dynatrace helps teams detect performance degradation before end users are impacted, while Atera is described as catching warnings, degraded nodes, and infrastructure issues early so teams can act before outages spread. G2 reviewers mention ScienceLogic AI Platform for proactive monitoring and alerting that notifies teams before problems become critical, and Digitate is often associated with predictive analysis, proactive operations, and automated issue prevention. Reviewers also note that alert tuning matters, but the main buyer value is earlier visibility into risk, faster intervention, and less dependence on user complaints to surface operational problems. ### What most trusted AIOps Platforms by DevOps engineers and software engineers based on user reviews? Based on G2 reviews, trust is usually reflected in themes like dependable automation, clear observability, and confidence during incidents rather than in a single universal winner. According to verified users, ServiceNow IT Operations Management is trusted for CMDB visibility, event management, and centralizing operational workflows. G2 reviewers mention IBM Instana for dependable tracing, automatic discovery, and fast answers in dynamic environments, while Dynatrace is often trusted for AI-driven root cause insights and real-time monitoring. PagerDuty also appears in reviews where reliability of escalation and ownership matters most during outages. Across the category, trusted products are the ones reviewers say they rely on daily to reduce manual effort, improve response quality, and create clearer operational accountability. ### What AIOps Platforms integrate seamlessly with itsm platforms ITSM and provide automatic incident creation from alerts? Based on G2 reviews, ServiceNow IT Operations Management is the clearest fit for this use case because reviewers repeatedly describe native connections between monitoring, CMDB data, incident workflows, and event management. According to verified users, it centralizes alerts, supports incident creation, and ties operational data back to ITSM processes. G2 reviewers also mention SolarWinds Observability for creating ServiceNow incidents from alerts in data center environments, Atera for reliable ServiceNow API sync that keeps incidents flowing bi-directionally, and Digitate for ITSM integration with automated ticket creation. Reviews suggest buyers should look closely at connector setup and field mapping, but these products are directly associated with linking alerting to service management workflows. ### What best AIOps Platforms for DevOps engineers managing distributed systems and reducing mean time to resolution? Based on G2 reviews, DevOps teams managing distributed systems often value platforms that unify observability, reduce noisy alerts, and speed up root cause analysis. According to verified users, IBM Instana is repeatedly praised for automatic discovery, end-to-end tracing, and reducing manual log digging in microservices environments. G2 reviewers mention Dynatrace for automated root-cause insights and proactive detection across hybrid and cloud workloads, while ServiceNow IT Operations Management is described as improving visibility, correlating alerts, and helping reduce resolution time through event management and service mapping. Reviewers consistently connect lower MTTR with products that combine topology awareness, signal correlation, and actionable incident context rather than only adding more dashboards or raw data. **Here are some of the top-rated products on G2:** - [IBM Instana](https://www.g2.com/products/ibm-instana/reviews/ibm-instana-review-12368909) – used for real-time observability and faster root cause analysis across microservices - [Dynatrace](https://www.g2.com/products/dynatrace/reviews/dynatrace-review-12223944) – chosen for anomaly detection, automatic RCA, and visibility across hybrid environments - [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews/servicenow-it-operations-management-review-12773655) – used to correlate alerts, improve outage response, and give teams better root-cause visibility ### What AIOps Platforms that centralize visibility across systems and provide AI-driven root cause analysis for incidents? Based on G2 reviews, buyers looking for centralized visibility and AI-driven incident analysis will see a few recurring names. According to verified users, ServiceNow IT Operations Management is valued for bringing alerts, CMDB data, discovery, and event management into one operational view. G2 reviewers mention IBM Instana for unified visibility across infrastructure, applications, and traces with automated root cause analysis, while Dynatrace is recognized for AI-driven monitoring that reduces noise and surfaces clearer causes behind issues. Digitate also appears in reviews focused on aggregating signals from multiple monitoring tools and supporting proactive operations. Across the category, the strongest products combine single-pane visibility with correlation and guided troubleshooting rather than isolated monitoring data. ## How Many AIOps Tools Products Does G2 Track? **Total Products under this Category:** 119 ### Category Stats (Jun 2026) - **Average Rating**: 4.5/5 The average rating of products in this category, based on all submitted ratings - **New Reviews This Quarter**: 203 - **Buyer Segments**: Enterprise 54% │ Mid-Market 28% │ Small-Business 18% Represents the distribution of reviewers across all products in this category. - **Top Trending Product**: IBM Concert platform (+0.92%) - Among all products in this category, IBM Concert platform recorded the largest rating increase compared to last month *Last updated: June 01, 2026* ## How Does G2 Rank AIOps Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 12,200+ Authentic Reviews - 119+ 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. ## Top AIOps Tools at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) | 4.4/5.0 (391 reviews) | Enterprise AIOps tied to ITSM workflows | "[Excellent Service Discovery for Tracking and Managing Configuration Items](https://www.g2.com/survey_responses/servicenow-it-operations-management-review-12837306)" | | 2 | [OpManager Nexus](https://www.g2.com/products/opmanager-nexus/reviews) | 4.5/5.0 (206 reviews) | — | "[Clear, Organized Dashboard and Easy Device Integration](https://www.g2.com/survey_responses/opmanager-nexus-review-12778545)" | | 3 | [Atera](https://www.g2.com/products/atera/reviews) | 4.6/5.0 (1,157 reviews) | AIOps for IT teams managing distributed remote endpoints | "[Easy Patch Tracking and Smart Automation That Speeds Up Support](https://www.g2.com/survey_responses/atera-review-12874126)" | | 4 | [IBM Instana](https://www.g2.com/products/ibm-instana/reviews) | 4.4/5.0 (468 reviews) | Automatic application observability for cloud-native environments | "[Powerful Analytics and Automation Drive Exceptional Performance](https://www.g2.com/survey_responses/ibm-instana-review-12064579)" | | 5 | [Dynatrace](https://www.g2.com/products/dynatrace/reviews) | 4.5/5.0 (1,231 reviews) | Causal AI for root-cause identification across full stack | "[Davis AI Delivers Clear Root-Cause Insights and Real-Time User Monitoring](https://www.g2.com/survey_responses/dynatrace-review-12645823)" | | 6 | [Datadog](https://www.g2.com/products/datadog/reviews) | 4.4/5.0 (708 reviews) | Unified observability with AI anomaly detection | "[Unified Observability with Powerful Integrations and Fast Root Cause Analysis](https://www.g2.com/survey_responses/datadog-review-12783228)" | | 7 | [Rakuten SixthSense Observability](https://www.g2.com/products/rakuten-sixthsense-observability/reviews) | 4.6/5.0 (52 reviews) | APM-focused observability for distributed systems | "[Great monitoring tool!](https://www.g2.com/survey_responses/rakuten-sixthsense-observability-review-8230168)" | | 8 | [IBM Turbonomic](https://www.g2.com/products/ibm-turbonomic/reviews) | 4.4/5.0 (288 reviews) | Automated resource optimization across hybrid cloud | "[Advanced Infrastructure Optimizer with challenging configuration requirements.](https://www.g2.com/survey_responses/ibm-turbonomic-review-12821189)" | | 9 | [New Relic](https://www.g2.com/products/new-relic/reviews) | 4.4/5.0 (568 reviews) | Developer-focused performance insight | "[New Relic User Experience Review](https://www.g2.com/survey_responses/new-relic-review-10695865)" | | 10 | [Elastic Observability](https://www.g2.com/products/elastic-observability/reviews) | 4.2/5.0 (88 reviews) | OpenTelemetry-native observability on the Elastic stack | "[APM is a Game-Changer for GKE Infrastructure](https://www.g2.com/survey_responses/elastic-observability-review-12628710)" | ## Which AIOps Tools Is Best for Your Use Case? - **Leader:** [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) - **Highest Performer:** [Better Stack](https://www.g2.com/products/better-stack/reviews) - **Easiest to Use:** [Atera](https://www.g2.com/products/atera/reviews) - **Top Trending:** [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) - **Best Free Software:** [Dynatrace](https://www.g2.com/products/dynatrace/reviews) ## Which Type of AIOps Tools Tools Are You Looking For? - [AIOps Tools](https://www.g2.com/categories/aiops-platforms) *(current)* - [Application Performance Monitoring (APM) Tools](https://www.g2.com/categories/application-performance-monitoring-apm) - [Cloud Infrastructure Monitoring Software](https://www.g2.com/categories/cloud-infrastructure-monitoring) - [Observability Software](https://www.g2.com/categories/observability-software) --- **Sponsored** ### SysAid 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. [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%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=2647&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%3Fpage%3D2&secure%5Btoken%5D=0b5966ee252c976ef1c0fcc1e74f8e5573c644813c8e78e4acba92d0f9e43a29&secure%5Burl%5D=https%3A%2F%2Fwww.sysaid.com%2Flp%2Foverview-ai-itsm%3Futm_source%3Dg2%26utm_medium%3Dcpc%26utm_campaign%3Dg2_clicks%26sysaidlsd%3Dhelp-desk&secure%5Burl_type%5D=custom_url) --- ## Buyer Guide: Key Questions for Choosing AIOps Tools Software ### What do AIOps tools do? I explain AIOps platforms as systems that analyze signals across applications, infrastructure, and services to help teams detect issues early and understand what is happening beneath the surface. These tools consolidate logs, metrics, events, and traces into a single view, enabling teams to identify patterns that would be difficult to discern manually. They apply intelligence to operational data and surface insights that guide teams toward quicker, more informed decisions. Instead of navigating multiple dashboards or handling alerts in isolation, teams work from a centralized operational view that highlights what needs attention. ### Why do businesses use AIOps tools? Across organizations, I have observed that monitoring environments are becoming increasingly complex as cloud adoption accelerates and architectures shift toward more distributed systems. Teams generate far more telemetry than they can reasonably analyze without support, and that leads to gaps in visibility and slower response times. AIOps platforms help address these problems by correlating events and filtering out noise, ensuring that signals remain meaningful. Based on the G2 reviewer patterns I reviewed, several benefits show up consistently: - Reviewers often highlight reduced alert fatigue because platforms consolidate events into actionable insights. - Many appreciate faster root-cause identification that helps shorten outages. - Users mention early anomaly detection that reveals unusual behavior before it becomes a customer-facing issue. - Several describe improved collaboration because teams rely on one source of operational truth. These advantages help organizations maintain stability even as systems grow more distributed. ### Who uses AIOps tools primarily? After examining reviewer profiles on G2, I found that several groups depend on these platforms throughout the incident lifecycle. - IT operations teams monitor infrastructure health and triage any issues that arise. - SRE and DevOps teams coordinate the investigation and maintain service performance. - Application teams interpret telemetry related to code behavior and dependencies. - Support and service desk teams classify incidents based on correlated signals. - Technology leaders track reliability trends and operational maturity. Together, these groups benefit from shared visibility and consistent insights. ### What types of AIOps tools should I consider? When I assessed how reviewers describe this category, AIOps platforms generally fall into these categories: - **Observability-based platforms** centered on logs, metrics, and traces. - **Monitoring systems** enhanced with AI-driven event correlation. - **ITSM-integrated solutions** that automate ticket classification and routing. - **Resource optimization tools** focused on performance and capacity decisions. - **End-to-end AIOps suites** that support detection, investigation, and remediation in one workflow. Your ideal solution depends on your data sources, incident volume, and the level of automation you want. ### What are the core features to look for in AIOps tools? From the G2 review trends I evaluated, the strongest platforms tend to include: - **Event correlation** that consolidates similar alerts into meaningful incidents. - **Anomaly detection** across infrastructure and applications. - **Automated recommendations** that guide response actions. - **Integrations** with monitoring, observability, and ITSM systems. - **Dashboards** that centralize operational visibility. - **Support** for multi-cloud, hybrid, and microservice environments. ### What trends are shaping AIOps tools right now? From the market signals and user insights I reviewed, several trends stand out. - **AI-driven diagnosis** is accelerating incident understanding. - **Automated remediation** is becoming more common as runbooks evolve. - **Observability data** is merging with support workflows to create unified incident pipelines. - **Forecasting models** help teams anticipate capacity constraints. - **Governance features** are improving to make AI-driven decisions traceable. ### How should I choose AIOps tools? For me, the strongest AIOps solutions are the ones that reduce noise, strengthen visibility, and provide clear, reliable guidance during incidents. When those elements align, AIOps becomes a dependable layer that supports faster, more informed operational decisions. ### Why do businesses use AIOps tools? Across organizations, I have observed that monitoring environments are becoming increasingly complex as cloud adoption accelerates and architectures shift toward more distributed systems. Teams generate far more telemetry than they can reasonably analyze without support, and that leads to gaps in visibility and slower response times. AIOps platforms help address these problems by correlating events and filtering out noise, ensuring that signals remain meaningful. Based on the G2 reviewer patterns I reviewed, several benefits show up consistently: - Reviewers often highlight reduced alert fatigue because platforms consolidate events into actionable insights. - Many appreciate faster root-cause identification that helps shorten outages. - Users mention early anomaly detection that reveals unusual behavior before it becomes a customer-facing issue. - Several describe improved collaboration because teams rely on one source of operational truth. ### Who uses AIOps tools primarily? After examining reviewer profiles on G2, I found that several groups depend on these platforms throughout the incident lifecycle. - **IT operations teams** monitor infrastructure health and triage any issues that arise. - **SRE and DevOps teams** coordinate the investigation and maintain service performance. - **Application teams** interpret telemetry related to code behavior and dependencies. - **Support and service desk teams** classify incidents based on correlated signals. - **Technology leaders** track reliability trends and operational maturity. ### What types of AIOps tools should I consider? When I assessed how reviewers describe this category, AIOps platforms generally fall into these categories: - **Observability-based platforms** centered on logs, metrics, and traces. - **Monitoring systems enhanced with AI-driven event correlation.** - **ITSM-integrated solutions** that automate ticket classification and routing. - **Resource optimization tools** focused on performance and capacity decisions. - **End-to-end AIOps suites** that support detection, investigation, and remediation in one workflow. Your ideal solution depends on your data sources, incident volume, and the level of automation you want. ### What are the core features to look for in AIOps tools? From the G2 review trends I evaluated, the strongest platforms tend to include: - Event correlation that consolidates similar alerts into meaningful incidents. - Anomaly detection across infrastructure and applications. - Automated recommendations that guide response actions. - Integrations with monitoring, observability, and ITSM systems. - Dashboards that centralize operational visibility. - Support for multi-cloud, hybrid, and microservice environments. ### What trends are shaping AIOps tools right now? From the market signals and user insights I reviewed, several trends stand out: - **AI-driven diagnosis** is accelerating incident understanding. - **Automated remediation** is becoming more common as runbooks evolve. - **Observability data is merging with support workflows** to create unified incident pipelines. - **Forecasting models** help teams anticipate capacity constraints. - **Governance features are improving** to make AI-driven decisions traceable. --- ## What Are the Top-Rated AIOps Tools Products in 2026? ### 1. [Splunk Infrastructure Monitoring](https://www.g2.com/products/splunk-infrastructure-monitoring/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 48 **Product Description:** SignalFx is the only real-time cloud monitoring platform for infrastructure, microservices, and applications. The platform discovers and collects metrics across every component in your cloud environment, replacing traditional point tools and providing real-time predictive analytics. The massively scalable SignalFx architecture is optimized for cloud infrastructure and microservices-based applications, It provides powerful visualization, proactive alerting, and collaborative triage capabilities for organizations of all sizes. SignalFx is used by leading enterprises across high tech, financial services, consumer products, retail, communications, media, entertainment, and web-scale players like Yelp, HubSpot, Acquia, and Kayak. SignalFx is venture-funded by Andreessen Horowitz, Charles River Ventures, and General Catalyst ### What Do G2 Reviewers Say About Splunk Infrastructure Monitoring? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Splunk Infrastructure Monitoring, citing its intuitive interface and seamless integrations. - Users value **real-time monitoring** in Splunk, ensuring smooth performance and minimizing downtime for critical systems. - Users value the **versatile log management capabilities** of Splunk, enabling effective monitoring and visualization of infrastructure. - Users value the **real-time monitoring** capabilities of Splunk, enhancing system performance and minimizing downtime. - Users value the **real-time monitoring capabilities** of Splunk Infrastructure Monitoring, ensuring optimal performance and minimal downtime. **Cons:** - Users note that Splunk Infrastructure Monitoring is **expensive** and has a steep learning curve for effective use. - Users find the **steep learning curve** of Splunk Infrastructure Monitoring challenging, especially for basic users. - Users find the **difficult learning** curve of Splunk Infrastructure Monitoring challenging, impacting their ability to utilize its features effectively. - Users find the **learning difficulty** of Splunk Infrastructure Monitoring challenging, requiring time to master its complexities. - Users find Splunk's pricing structure to be **complex and expensive** , especially for large volumes of log data. #### What Are Recent G2 Reviews of Splunk Infrastructure Monitoring? **"[Versatile suite of tools for various security needs](https://www.g2.com/survey_responses/splunk-infrastructure-monitoring-review-7975767)"** **Rating:** 4.5/5.0 stars *— Verified User in Telecommunications* [Read full review](https://www.g2.com/survey_responses/splunk-infrastructure-monitoring-review-7975767) --- **"[Splunk: Infrastructure Monitoring Application](https://www.g2.com/survey_responses/splunk-infrastructure-monitoring-review-9103873)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/splunk-infrastructure-monitoring-review-9103873) --- #### What Are G2 Users Discussing About Splunk Infrastructure Monitoring? - [Why did splunk buy SignalFx?](https://www.g2.com/discussions/splunk-infrastructure-monitoring-why-did-splunk-buy-signalfx) - [Why did splunk buy SignalFx?](https://www.g2.com/discussions/why-did-splunk-buy-signalfx) - [What is SignalFx?](https://www.g2.com/discussions/splunk-infrastructure-monitoring-what-is-signalfx) ### 2. [ZIF](https://www.g2.com/products/zif/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 17 **Product Description:** The Zero Incident Framework (ZIF) is an AI-Ops based platform delivering enhanced network operations management around asset discovery, hybrid infrastructure monitoring, Proactive detection, and automation. The platform harnesses unique features from high-end technologies like artificial intelligence, machine learning, and intelligent automation. ZIF components provide organizations with full-fledged proactivity and a level of resilience that would enable increased availability and ‘zero outages’ in any environment be it cloud, on-premises, or hybrid IT infrastructure. ZIF is an AI-Ops platform that enables proactive detection and remediation of potential events helping organizations drive towards a Zero Incident Enterprise™. #### What Are Recent G2 Reviews of ZIF? **"[Amazing](https://www.g2.com/survey_responses/zif-review-9982605)"** **Rating:** 5.0/5.0 stars *— Mohamed M.* [Read full review](https://www.g2.com/survey_responses/zif-review-9982605) --- **"[This has been a perfect tool](https://www.g2.com/survey_responses/zif-review-4801812)"** **Rating:** 4.5/5.0 stars *— Mohammed F.* [Read full review](https://www.g2.com/survey_responses/zif-review-4801812) --- #### What Are G2 Users Discussing About ZIF? - [What is ZIF used for?](https://www.g2.com/discussions/what-is-zif-used-for) ### 3. [Moogsoft](https://www.g2.com/products/moogsoft/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 34 **Product Description:** The pioneer of AIOps, advancing enterprise availability with modern ITOps. Why AIOps? At Moogsoft, we understand that every business leader wants to protect and grow revenue, increase customer satisfaction, reduce security, legal and reputational risks, and/or drive down costs. But when something goes wrong it still takes too many people too long to discover the cause and resolve it. Without AIOps, IT teams continue to work in silos, miss and misprioritize issues. As companies have digitally transformed and every company has become a tech company, there are simply too many alerts and tickets, cumbersome manual processes, and not enough resources to do the job. Why Moogsoft? Moogsoft creates an automated connective layer that brings IT Operations, Observability, and Incident Management teams onto the same page. This helps lower your mean time to detect (MTTD), investigate and resolve incidents (MTTR), so you can move from being reactive to proactive. ### What Do G2 Reviewers Say About Moogsoft? *AI-generated summary from verified user reviews* **Pros:** - Users value the **efficient alert processing** and the impressive dashboard features of Moogsoft's alerting system. - Users find the **processing for alerts** exceptional in Moogsoft, complemented by a fantastic dashboard for easy management. - Users value the **awesome dashboard** of Moogsoft, which significantly enhances alert processing efficiency. - Users praise Moogsoft for its **exceptional data visualization** , enhancing their ability to process and manage alerts effectively. - Users appreciate the **visibility** Moogsoft provides through its outstanding dashboards and efficient alert processing. **Cons:** - Users express concerns over **stability issues** in Moogsoft, particularly under increased load conditions that cause outages. - Users report **performance issues** with Moogsoft, particularly experiencing system instability under heavy loads. - Users report that **slow loading** of Moogsoft can significantly hinder their experience, especially under heavy loads. - Users report **slow performance** of Moogsoft during high load, leading to frequent downtimes and frustration. #### What Are Recent G2 Reviews of Moogsoft? **"[Great Product](https://www.g2.com/survey_responses/moogsoft-review-9363339)"** **Rating:** 5.0/5.0 stars *— James C.* [Read full review](https://www.g2.com/survey_responses/moogsoft-review-9363339) --- **"[Excellent product support](https://www.g2.com/survey_responses/moogsoft-review-7899375)"** **Rating:** 4.5/5.0 stars *— Neha G.* [Read full review](https://www.g2.com/survey_responses/moogsoft-review-7899375) --- #### What Are G2 Users Discussing About Moogsoft? - [Is AIOps equivalent to DevOps?](https://www.g2.com/discussions/is-aiops-equivalent-to-devops) - [What are the benefits of AIOps?](https://www.g2.com/discussions/what-are-the-benefits-of-aiops) - 1 comment - [What type of platform is Moogsoft AIOps?](https://www.g2.com/discussions/what-type-of-platform-is-moogsoft-aiops) ### 4. [ScienceLogic AI Platform](https://www.g2.com/products/sciencelogic-ai-platform/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 20 **Product Description:** 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. ### What Do G2 Reviewers Say About ScienceLogic AI Platform? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **proactive monitoring** of ScienceLogic AI Platform, enhancing operational efficiency by addressing issues before they escalate. - Users highlight the **proactive monitoring and alerting** of ScienceLogic AI Platform, significantly mitigating potential business impacts. - Users appreciate the **ease of use** of ScienceLogic AI Platform, noting its clean interface and efficient monitoring capabilities. - Users value the **issue detection capabilities** of ScienceLogic AI Platform, enhancing proactive management and operational efficiency. - Users value the **efficiency in monitoring** provided by ScienceLogic AI Platform, enhancing IT operations and issue resolution. **Cons:** - Users find the **noisy alerts** troublesome, leading to false positives and a need for better tuning and management. - Users find the **difficult learning** curve of ScienceLogic AI Platform challenging but acknowledge its customizable strengths. - Users report a **steep learning curve** during initial setup, making the ScienceLogic AI Platform challenging to navigate. - Users note a **steep learning curve** during initial setup, which can complicate the customization process. - Users find the **initial setup complex** and experience a steep learning curve with the ScienceLogic AI Platform. #### What Are Recent G2 Reviews of ScienceLogic AI Platform? **"[Fantastic tool for Network Monitoring.](https://www.g2.com/survey_responses/sciencelogic-ai-platform-review-6662203)"** **Rating:** 4.5/5.0 stars *— Pradnesh C.* [Read full review](https://www.g2.com/survey_responses/sciencelogic-ai-platform-review-6662203) --- **"[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) ### 5. [Aisera](https://www.g2.com/products/aisera/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 133 **Product Description:** Aisera delivers an Agentic AI platform that leverages artificial intelligence and machine learning to automate and transform enterprise service desk operations across IT, HR, finance, legal, facilities, and customer service domains, delivering exponential cost efficiencies, higher organizational productivity, and an enhanced employee experience. Aisera’s Agentic AI platform acts as a cognitive layer of Artificial Intelligence on top of existing enterprise infrastructure, delivering a single pane of glass view into all business knowledge stored in all the disparate SORs, data systems, and applications that most enterprises accumulate over decades of technology investments. With a no-rip-n-replace approach, Aisera readily integrates with these existing SORs and applications and provides businesses the ability to launch fully autonomous agents that meet and exceed the most stringent enterprise data security, privacy, and compliance requirements and policies. The result is a highly efficient enterprise with transformed employee and customer experiences that translate into a continued increase in productivity levels across the enterprise. ### What Do G2 Reviewers Say About Aisera? *AI-generated summary from verified user reviews* **Pros:** - Users value the **easy implementation and integration** of Aisera, making the onboarding process seamless and efficient. - Users appreciate the **ease of use** of Aisera, highlighting its seamless implementation and flexible integration capabilities. - Users value the **responsive customer support** of Aisera, ensuring timely assistance and understanding of unique use cases. - Users appreciate the **effortless automation** Aisera provides, enhancing customer service and boosting overall productivity. - Users praise Aisera for its **seamless automation** , enhancing productivity and efficiency in handling repetitive tasks. **Cons:** - Users find the **learning curve steep** due to manual tuning needs, lack of documentation, and limited reporting capabilities. - Users find Aisera to be **time-consuming** , requiring manual intervention for updates and tedious navigation through its dashboards. - Users find Aisera's setup and maintenance to be **complex and demanding** , requiring significant ongoing effort and adjustments. - Users find **AI limitations** in Aisera frustrating, requiring extensive upfront work and ongoing maintenance for effective use. - Users find Aisera's platform difficult to learn, noting the **steep learning curve** and need for extensive support resources. #### What Are Recent G2 Reviews of Aisera? **"[AI Assistant That Works Wonder](https://www.g2.com/survey_responses/aisera-review-11589504)"** **Rating:** 4.0/5.0 stars *— Shruti S.* [Read full review](https://www.g2.com/survey_responses/aisera-review-11589504) --- **"[User-Friendly and Easy to Adopt, with Great AI Features](https://www.g2.com/survey_responses/aisera-review-12658974)"** **Rating:** 4.5/5.0 stars *— PRASHANT G.* [Read full review](https://www.g2.com/survey_responses/aisera-review-12658974) --- #### What Are G2 Users Discussing About Aisera? - [What do you recommend for companies considering Aisera for AI-powered customer support?](https://www.g2.com/discussions/what-do-you-recommend-for-companies-considering-aisera-for-ai-powered-customer-support) - 1 comment - [What is Aisera used for?](https://www.g2.com/discussions/what-is-aisera-used-for) - 1 comment - [What are the components of a successful service desk?](https://www.g2.com/discussions/aisera-what-are-the-components-of-a-successful-service-desk) ### 6. [BigPanda](https://www.g2.com/products/bigpanda/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 113 **Product Description:** BigPanda is an agentic IT operations platform that enables enterprises to keep the digital world running by transforming manual and reactive human processes into intelligent, autonomous systems. The world’s most trusted brands rely on BigPanda to detect, respond to, and prevent IT incidents at machine speed, improving operational efficiency and delivering exceptional service reliability to their customers. Our primary users include IT Operations (ITOps), Network Operations Centers (NOC), Major Incident Management, Change Management,, and Site Reliability Engineering (SRE) teams that face increasing challenges due to the complexities of modern IT infrastructure. Enterprises spend $250 billion annually on manual, human-driven IT operations, and it doesn’t scale. Teams are hindered by slow, reactive, and manual ITOps and incident management processes that cannot keep up with the scale and rapid pace of change in today's digital landscape. As a result, enterprises experience service outages and increased operational costs, detracting from their ability to innovate and improve service delivery. BigPanda addresses these challenges by transforming the overwhelming volume of IT alerts and incidents into automated, actionable workflows. By leveraging AI agents, advanced algorithms, and machine learning, the platform unifies events and IT knowledge, correlates incidents across domains, and automates triage and investigation. These capabilities streamline the incident response process and reduce the time spent on manual tasks, allowing IT professionals to focus on strategic initiatives rather than being bogged down by routine firefighting. The key capabilities of BigPanda include: - AI Incident Prevention helps teams stop change-related incidents before they happen with scalable, proactive change and problem management. - AI Detection and Response correlates signals and surfaces critical context, so your teams can act before incidents escalate. - The BigPanda L1 Agent strengthens your first line of defense by automating L1 NOC workflows end to end and scaling L1 operations without increasing headcount. - AI Incident Assistant helps IT teams streamline major incidents, including collaboration, investigation, and resolution, to reduce the impact on the business. These capabilities are powered by the BigPanda IT Knowledge Graph, which is purpose-built to enable an AI-first data strategy by capturing your siloed and fragmented data and using it to power insights and automation. BigPanda integrates seamlessly with existing IT tools, empowering enterprises to automate incident response workflows and gain real-time visibility into IT operations. Automating repetitive IT operations tasks helps organizations minimize human error and accelerate resolution times, while the integration capabilities ensure that teams can leverage their current toolsets without disruption. Additionally, BigPanda offers advanced analytics that provide valuable insights into operational performance, helping organizations make informed decisions that enhance service availability and drive business growth. By utilizing BigPanda, enterprises can significantly reduce their IT operating costs while improving service reliability and overall business agility. The platform empowers teams to proactively manage incidents, mitigate outage risk, and enhance customer satisfaction. As organizations continue to evolve amid digital transformation, BigPanda stands out as a critical tool for modern enterprise IT operations, enabling them to thrive in an increasingly complex environment. ### What Do G2 Reviewers Say About BigPanda? *AI-generated summary from verified user reviews* **Pros:** - Users value the **efficient alerting system** that reduces noise and streamlines incident management effectively. - Users value the **noise reduction** and automated workflows in BigPanda, which enhance incident management efficiency. - Users value the **automation capabilities** of BigPanda, enhancing efficiency and reducing noise in incident management. - Users value the **easy integrations** of BigPanda, enhancing efficiency by reducing noise and automating workflows. - Users value the **streamlined incident management** of BigPanda, which effectively reduces noise and automates workflows. #### What Are Recent G2 Reviews of BigPanda? **"[Turns Noisy Alerts into Context-Rich Incidents for Faster Resolution](https://www.g2.com/survey_responses/bigpanda-review-12853743)"** **Rating:** 5.0/5.0 stars *— Chandra S.* [Read full review](https://www.g2.com/survey_responses/bigpanda-review-12853743) --- **"[Our environment gotten quite better because of BigPanda](https://www.g2.com/survey_responses/bigpanda-review-10454898)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Games* [Read full review](https://www.g2.com/survey_responses/bigpanda-review-10454898) --- #### What Are G2 Users Discussing About BigPanda? - [How do you use Bigpanda?](https://www.g2.com/discussions/how-do-you-use-bigpanda) - [What is the use of Bigpanda?](https://www.g2.com/discussions/what-is-the-use-of-bigpanda) - 1 comment - [Is BigPanda a SaaS?](https://www.g2.com/discussions/is-bigpanda-a-saas) - 1 comment ### 7. [Mezmo](https://www.g2.com/products/mezmo/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 213 **Product Description:** Telemetry data is now overwhelming—noisy, slow, and expensive. Mezmo’s Active Telemetry delivers live, high-context observability that cuts the noise, slashes cost, and powers fast iteration, by tapping into logs, metrics, and traces—and acting on them the moment they’re created. Mezmo’s Active Telemetry Platform is powered by three unique capabilities: Active Engagement—giving Developers and AI agents on-demand access to the live data they need; Active Routing—letting users direct relevant, contextualized telemetry where it’s needed most; and Active Analysis—enabling in-stream, context-based decisions as data is generated. ### What Do G2 Reviewers Say About Mezmo? *AI-generated summary from verified user reviews* **Pros:** - Users find Mezmo's **ease of use** remarkable, streamlining log collection and analysis across various systems. - Users value the **ease of log collection and analysis** in Mezmo, enhancing incident response efficiency and user experience. - Users appreciate the **ease of monitoring** with Mezmo, streamlining log management and enhancing incident response efficiency. - Users value the **real-time monitoring** of Mezmo, enhancing efficiency during incident response and log analysis. - Users find that Mezmo significantly boosts **efficiency improvement** , enhancing productivity during log collection and analysis. **Cons:** - Users find the **UX improvements necessary** as the website's complexity hinders first-time usage and accessibility of resources. - Users find the **complex setup** of Mezmo challenging, requiring specialized knowledge and significant resources for effective implementation. - Users find the **cost of Mezmo to be quite high** , especially with increasing log volumes and recent price changes. - Users find the **learning difficulty** of Mezmo challenging initially, though improvements and support from the team help. - Users encounter **logging limitations** with Mezmo, including restricted log levels and difficulties recovering old log files. #### What Are Recent G2 Reviews of Mezmo? **"[Streamlined Log Management and Observability with Mezmo](https://www.g2.com/survey_responses/mezmo-review-11670560)"** **Rating:** 5.0/5.0 stars *— Nilansh B.* [Read full review](https://www.g2.com/survey_responses/mezmo-review-11670560) --- **"[Mezmo has helped our security operations as far as speed, efficiency, and integrations available](https://www.g2.com/survey_responses/mezmo-review-11110311)"** **Rating:** 5.0/5.0 stars *— Verified User in Telecommunications* [Read full review](https://www.g2.com/survey_responses/mezmo-review-11110311) --- #### What Are G2 Users Discussing About Mezmo? - [What does LogDNA do?](https://www.g2.com/discussions/what-does-logdna-do) - [Is LogDNA open source?](https://www.g2.com/discussions/is-logdna-open-source) - 1 comment - [What is the use of log DNA?](https://www.g2.com/discussions/what-is-the-use-of-log-dna) ### 8. [LogicMonitor](https://www.g2.com/products/logicmonitor/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 581 **Product Description:** LogicMonitor is an AI-first observability platform that helps enterprises protect revenue, brand reputation, and customer experience in a digital-first world. As every customer interaction depends on application and infrastructure performance, downtime is more than an IT issue—it is a business risk. LogicMonitor eliminates blind spots across cloud, infrastructure, applications, and the Internet, giving IT teams unified visibility from user experience to code-level performance. With AI-powered insights, intelligent alerting, and automation, LogicMonitor helps organizations detect, prioritize, and prevent issues before they impact customers. By enabling teams to move from reactive incident response to autonomous IT operations, LogicMonitor helps modern enterprises reduce disruption, operate efficiently at scale, and keep digital services performing reliably. For more information, visit  www.logicmonitor.com and our blog, or follow us on LinkedIn, X, Facebook, and YouTube. ### What Do G2 Reviewers Say About LogicMonitor? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of LogicMonitor, benefiting from its user-friendly UI and simple navigation. - Users praise the **implementation ease** of LogicMonitor, highlighting its fast deployment and user-friendly setup. - Users value the **broad range of monitoring capabilities** offered by LogicMonitor, enhancing both infrastructure and application oversight. - Users value the **comprehensive monitoring** of LogicMonitor, providing deep insights across servers, applications, and environments. - Users commend LogicMonitor for its **excellent customer support** , facilitating effective monitoring and integration with other tools. **Cons:** - Users find the **learning curve steep** due to reliance on advanced features and scripting skills for effective use. - Users note the **limited features** of LogicMonitor, particularly with aspects like log pipelines and integration usefulness. - Users find LogicMonitor to be **expensive** , which can be a significant barrier for smaller teams and projects. - Users find **inadequate monitoring** for traditional workloads leads to complications in deployment and troubleshooting processes. - Users find the **complexity of integrations** challenging, requiring significant investment in training and configuration efforts. #### What Are Recent G2 Reviews of LogicMonitor? **"[Agentless Auto-Discovery and Dashboards That Deliver a True Single Pane of Glass](https://www.g2.com/survey_responses/logicmonitor-review-12948595)"** **Rating:** 4.0/5.0 stars *— Keshav R.* [Read full review](https://www.g2.com/survey_responses/logicmonitor-review-12948595) --- **"[Real-Time Alerts and a Clean Dashboard for Confident Monitoring](https://www.g2.com/survey_responses/logicmonitor-review-12927438)"** **Rating:** 4.5/5.0 stars *— Saniya s.* [Read full review](https://www.g2.com/survey_responses/logicmonitor-review-12927438) --- #### What Are G2 Users Discussing About LogicMonitor? - [What is LogicMonitor used for?](https://www.g2.com/discussions/what-is-logicmonitor-used-for) - [What does LogicMonitor do?](https://www.g2.com/discussions/what-does-logicmonitor-do) - [Where does LogicMonitor store your monitored data?](https://www.g2.com/discussions/where-does-logicmonitor-store-your-monitored-data) ### 9. [Splunk APM](https://www.g2.com/products/splunk-apm/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 17 **Product Description:** Splunk APM is critical to help provide visibility and context into your apps and services as your environment scales. Splunk APM provides the most advanced solution for engineers who build and troubleshoot modern applications; with full fidelity trace analysis to provide context across complex cloud and microservice environments, AI directed troubleshooting and high cardinality to identify and resolve problems faster, AlwaysOn Profiling to provide code level visibility of service bottlenecks, and OpenTelemetry standardization to provide greater flexibility and control as you embrace new technologies and processes. ### What Do G2 Reviewers Say About Splunk APM? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **high quality data** from Splunk APM, enhancing product quality and boosting customer satisfaction. - Users value the **high-quality data** provided by Splunk APM, enhancing product quality and customer satisfaction. - Users value the **high quality data** from Splunk APM, enhancing product quality and customer satisfaction significantly. - Users appreciate the **high quality data** provided by Splunk APM, enhancing product quality and customer satisfaction. - Users appreciate the **high quality data** from Splunk APM, improving product quality and customer satisfaction. **Cons:** - Users find **inadequate reporting** in Splunk APM frustrating, making it hard to pull specific logs and data. - Users find the **inefficient log management** of Splunk APM frustrating, making specific data retrieval a challenge. - Users find it challenging to pull logs and data reports, lamenting the **difficulties in streamlining this process**. - Users find it challenging to pull **logs and data reports** , wishing the process was more streamlined and efficient. - Users find **poor reporting** in Splunk APM frustrating, as extracting specific logs can be cumbersome and complex. #### What Are Recent G2 Reviews of Splunk APM? **"[Best tool to track logs and visualise same in graphical representation](https://www.g2.com/survey_responses/splunk-apm-review-4784435)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/splunk-apm-review-4784435) --- **"[The best is app performance monitoring you can get!!](https://www.g2.com/survey_responses/splunk-apm-review-5167352)"** **Rating:** 4.0/5.0 stars *— Kevin V.* [Read full review](https://www.g2.com/survey_responses/splunk-apm-review-5167352) --- #### What Are G2 Users Discussing About Splunk APM? - [How Splunk is used in performance monitoring?](https://www.g2.com/discussions/how-splunk-is-used-in-performance-monitoring) - [Does Splunk have APM?](https://www.g2.com/discussions/does-splunk-have-apm) - [How does Splunk APM work?](https://www.g2.com/discussions/how-does-splunk-apm-work) ### 10. [AIMS](https://www.g2.com/products/aims-innovation-aims/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 17 **Product Description:** Build confidence in your IT Operations with AIMS, an automated monitoring solution powered by AI. Get early notifications with automated anomaly detection of the issues that can potentially bring down your business and understand which other systems could be impacted with automated service dependency discovery. AIMS auto-detects changes you deploy to applications and automatically includes them in your application monitoring scope. Gain agility, efficiency, and confidence to scale your IT Operations with AIMS in days, not months or years. #### What Are Recent G2 Reviews of AIMS? **"[AIMS-Integration](https://www.g2.com/survey_responses/aims-review-7138831)"** **Rating:** 5.0/5.0 stars *— Pramod G M.* [Read full review](https://www.g2.com/survey_responses/aims-review-7138831) --- **"[Fast time-to-value for those interested in pure AIOps](https://www.g2.com/survey_responses/aims-review-5323408)"** **Rating:** 4.5/5.0 stars *— Alexander L.* [Read full review](https://www.g2.com/survey_responses/aims-review-5323408) --- ### 11. [Splunk Observability Cloud](https://www.g2.com/products/splunk-observability-cloud/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 54 **Product Description:** Splunk Observability Cloud is a comprehensive, real-time monitoring and troubleshooting platform designed to provide full-stack visibility across any environment. By integrating application performance monitoring, infrastructure monitoring, and digital experience monitoring, it enables organizations to detect and resolve issues swiftly, ensuring optimal system performance and enhanced user experiences. Built on OpenTelemetry standards, Splunk Observability Cloud offers AI-driven insights and analytics, facilitating proactive management of complex, distributed systems. Key Features and Functionality: - Application Performance Monitoring (APM): Identifies and addresses application issues by combining related data into intuitive visuals, accelerating mean time to resolution (MTTR). - Infrastructure Monitoring: Provides instant visibility and real-time alerts to improve hybrid cloud performance. - Digital Experience Monitoring: Delivers insights into frontend performance through Real User Monitoring and Synthetic Monitoring, ensuring seamless user experiences. - AI-Powered Analytics: Utilizes machine learning-driven features like Service Maps and Trace Analytics to offer guided troubleshooting and faster issue resolution. - OpenTelemetry-Native: Ensures data ownership and control, preventing vendor lock-in and allowing consistent instrumentation across applications. - No Data Sampling: Collects and analyzes 100% of data with NoSample™ tracing, eliminating blind spots. - Log Observer Connect: Correlates logs stored in Splunk Platform with real-time metrics and traces, providing deeper context for software behavior. Primary Value and Problem Solving: Splunk Observability Cloud addresses the challenges of monitoring and managing complex, distributed systems by offering unified visibility and real-time troubleshooting capabilities. It empowers organizations to: - Accelerate Issue Resolution: By correlating metrics, traces, and logs, teams can quickly identify root causes, reducing downtime and improving system reliability. - Enhance User Experiences: Continuous monitoring of digital experiences ensures that performance issues are detected and resolved before impacting end-users. - Optimize Operational Efficiency: AI-driven insights and automated analytics streamline troubleshooting processes, allowing teams to focus on innovation rather than firefighting. - Maintain Data Control: The OpenTelemetry-native approach provides flexibility and prevents vendor lock-in, enabling organizations to adapt and scale their observability practices as needed. By integrating these capabilities, Splunk Observability Cloud enables organizations to maintain high system performance, deliver exceptional user experiences, and drive continuous innovation. ### What Do G2 Reviewers Say About Splunk Observability Cloud? *AI-generated summary from verified user reviews* **Pros:** - Users value the **efficiency** of Splunk Observability Cloud for its fast performance and effective real-time monitoring capabilities. - Users value the **powerful reporting and visualizations** of Splunk Observability Cloud for effective monitoring and analysis. - Users value the **real-time visibility and powerful SPL queries** in Splunk Observability Cloud for effective root cause analysis. - Users appreciate the **intelligent log monitoring** features of Splunk Observability Cloud, enhancing their event correlation and search capabilities. - Users value the **integrated log management** in Splunk Observability Cloud, enhancing metrics visibility and performance insights. **Cons:** - Users find the **difficult learning curve** of Splunk Observability Cloud challenging, especially for beginners needing time to acclimate. - Users find the **limited features** of Splunk Observability Cloud hinder their ability to customize and streamline processes effectively. - Users find the **missing features** in Splunk Observability Cloud hinder usability and complicate metric integration for microservices. - Users find the **complex setup** of Splunk Observability Cloud challenging, impacting their experience and effectiveness. - Users find the **cost prohibitive** , especially for larger data volumes, impacting accessibility for smaller organizations. #### What Are Recent G2 Reviews of Splunk Observability Cloud? **"[Excellent but expensive tool](https://www.g2.com/survey_responses/splunk-observability-cloud-review-8505372)"** **Rating:** 5.0/5.0 stars *— Smith G.* [Read full review](https://www.g2.com/survey_responses/splunk-observability-cloud-review-8505372) --- **"[Troubleshooter of Technology](https://www.g2.com/survey_responses/splunk-observability-cloud-review-10073406)"** **Rating:** 4.0/5.0 stars *— Lokesh V.* [Read full review](https://www.g2.com/survey_responses/splunk-observability-cloud-review-10073406) --- #### What Are G2 Users Discussing About Splunk Observability Cloud? - [What is Splunk IT Cloud used for?](https://www.g2.com/discussions/what-is-splunk-it-cloud-used-for) ### 12. [OpenText Operations Bridge (OpsBridge)](https://www.g2.com/products/opentext-operations-bridge-opsbridge/reviews) **Average Rating:** 4.0/5.0 **Total Reviews:** 16 **Product Description:** Micro Focus is now part of OpenText! OpenText™ Operations Bridge (OpsBridge) automatically monitors and analyzes the health and performance of Hybrid IT resources across any device, operating system, database, application, or service on all data types. With industry-leading AIOps capabilities, including event consolidation engines and noise reduction technology, it uniquely integrates end-to-end service awareness with rule and machine learning-based event correlation capabilities. Problems identified using a Vertica big data lake and machine learning, for example, to identify significant logs, can be manually or automatically remediated with flexible runbook automation and orchestration. These capabilities also apply to over 200 integrations with third-party tools and technology stacks. Executive stakeholders gain actionable insight on any device that has a browser with tailored dashboards showing vital status, business, and IT KPIs. Hybrid Cloud Monitoring for the Digital Enterprise Hybrid IT has quickly become the new normal, and IT operations teams are expected to offer both cloud and on-premises infrastructure options, whichever best meets the needs of the application or service. IT operations teams must adapt to new technologies, adopt new cloud vendors and other services chosen by the business, and monitor new applications and application releases with increasing frequency. OpenText™ OpsBridge exploits all AIOps capabilities to consolidate and analyze all your data. It reduces event volumes, isolates root-cause, and provides chatbots for ChatOps. It includes automation to remediate problems quickly while reducing human error with over 8000 provided runbook – or you can build your own. Deliver What the Business Needs When It Needs It Designed to deliver real business value, OpenText™ OpsBridge integrates all your tools and automates manual tasks. It focuses operations teams on the business services and users being impacted by automatically identifying root cause faster than ever before possible. Built-in AIOps intelligent analytics drives historical analysis, applying machine learning and 50+ patented algorithms to logs, events, metrics, and topology, which is so much more powerful than search alone. Key Benefits - Increased effectiveness (time, money, resources) of tools and services - Reduced effort and time to process service requests and resolve problems - Confidence from the lines of business in IT’s ability to deliver consistent, compliant services - Business needs and strategy that are on time and budget, and in stronger collaboration with IT - Reduced business risk, better service price performance, and accelerated time-to-market for new services Key Features - Automated Hybrid IT Discovery and Monitoring: Discovery and monitoring consolidates and exploits all your data types (events, metrics, logs, and topology) within a dynamically updated and accurate model. It shows the impact of incidents, ensuring no new service goes overlooked with dynamic top-down and bottoms-up service modeling and with monitoring automation. Aggregate all our your Hybrid IT resources into a single view with 200+ technology integrations. OpsBridge solution templates and management packs provide in-depth domain-specific monitoring, including infrastructure, databases, Microsoft environments, SAP environments, middleware, cloud, big data, application platforms, automation, load balancers, and web servers. The data is integrated into collect once store one technology (COSO), a containerized common data collection and storage for real-time streaming data ingestion and processing. - Consolidate Data and Reduce Noise: IT experts advise that the application of common data ingestion and algorithmic Big Data driven analytics to all your data is the key to improving service excellence. OpsBridge includes analytics and incorporates 50+ patents for high-speed, high-volume data analysis. Automated log, metric, and event analysis, plus anomaly detection, proactively alerts operators to abnormal activity and uncovers the most relevant insights from hundreds of millions of records to help your team better prioritize. With “time machine” replay, which correlates disparate data over any time range and in relation to topology graphs, users can visualize with ease when the problem started and find the offending resource. To enhance your control of virtualized resources and dynamically changing workloads, OpsBridge proposes optimized recipes for your resources. These recipes give you the ability to visualize resources, forecast their allocation impact, and master costs to set the right level of service. - Automated AIOps: OpsBridge incorporates all 11 AIOps capabilities, from agent-based intelligence and real-time performance analytics to multi-mode stream-based and topology-based correlation of event streams over time and across dependencies. - Robotize Processes and Remediation: With more than 8,000 runbooks to choose from, including hundreds of out-of-the-box integrations to popular IT Service Management tools, OpsBridge simplifies and accelerates the automation of tasks such as remedial actions, notifications, and recovery procedures. Orchestration of complex and conditional execution and rollback provides the means to strengthen compliance, remove manual errors, and develop IT Process Automation (ITPA) to slash costs and drive compliance, releasing rare resources for more critical business priorities. Adapting to changing circumstances is a core requirement for an agile organization. That’s the DevOps methodology, and OpsBridge supports it with: \> A dynamically updating model that reflects the deployment of new application and infrastructure instances, automatically activating the required monitoring. \> Robotized features for ChatOps-based collaboration across teams and tools such as Sitescope, OpsBridge Reporter and Operations Orchestration \> Automated tasks capture and share vital production information to the extended teams, as well as activating alternative configurations to keep your business on track. - Analyze Application Health: OpsBridge provides probes dispersed across the world to measure service quality, control SLAs, and application health. That data is also fed to COSO, processed by the AIOps based analytics, and shown in reports and dashboards. - Customize Dashboards and Reporting: The Business Value Dashboard (BVD) can exploit all the status and KPI data at your disposal to provide a TV-like, live channel of business and IT news that the BVD “paints” onto any device with a browser. BVD software can display online information—such as internet news feeds, live programs, and streaming videos—in views developed using popular office tools. BVD can consume historical data stored in COSO, preprocessing, and analyzing that data before being displayed for reporting. OpsBridge Performance Engine and BVD provide highly scalable, real-time performance collection, analysis, and graphing for hundreds of metrics and consume data from COSO. You can build and combine different metrics and IT status information into powerful dashboards you can quickly tailor into domain-specific or contextually-specific dashboard mashups. Supported Technologies Management Packs are domain-specific add-ons to OpsBridge that provide pre-programmed intelligence for that domain, domain-specific reports, and correlation rules. Full details are available here: https://www.microfocus.com/media/data-sheet/operations\_bridge\_ds.pdf - Infrastructure AIX CentOS Cluster Debian HPE-UX HyperV IBM LPAR KVM Oracle Enterprise Linux RedHat Solaris Solaris Zone SUSE Ubuntu VMware vSphere Windows XEN - Databases Cassandra Couchbase Apache CouchDB Informix Marklogic Microsoft SQL Server MongoDB MySQL Oracle Database Oracle RAC PostgreSQL Riak SAP Sybase ASE - Microsoft Environments Microsoft Active Directory Microsoft Azure Microsoft Exchange Server Microsoft IIS Microsoft SharePoint Server Microsoft Skype for Business - SAP Environments SAP SAP HANA - Middleware Apache ActiveMQ Apache Kafka Apache Tomcat Apache Web Server Glassfish IBM WebSphere Application Server iPlanet JBoss Memcached Oracle Weblogic Application Server Rabbit MQ Redis Varnish - Cloud Amazon Services (EC2, EBS, ECS, Dynamo DB, Beanstalk Services, AWS Service Status, RDS, ASG, ELB, SQS, RedShift, KMS, S3, AWS Billing, AWS Service Health Dashboards) Microsoft Azure (Azure Data Factory, Azure Data Lake, Virtual Machines, Azure SQL, Storage Account, Azure App Service Plan, Azure Web Apps, Azure Active Directory Discovery, Activity Logs, Windows Activity Logs hosted on the Azure environment, Azure Load Balancer, Multi-instance support for Storage account service) Google Cloud Platform OpenStack Kubernetes - Big Data Apache Falcon Apache Flume Apache Oozie Apache Spark Apache Storm Apache Zookeeper Hadoop (Apache, Cloudera distributions) HBase Micro Focus Vertica Database Solr - Application Platforms Docker (certified) Node.js - Automation Chef Jenkins - Generic BIND DHCP File Change Monitor FTP server Generic SMTP JMX Microsoft .NET OpenSSH Perfmon SNMP - Load Balancer HAProxy Nginx - Partner IBM AS/400 IBM DB2 IBM Mainframe - Web Server gUnicorn HTTP Lighttpd - Others Github Postfix - Integrations are connectors to other tools that bring in their data for display and analysis: Ambari AppDynamics Aternity BMC Impact Manager BMC Remedy CA Spectrum Cherwell ITSM CollectD DynaTrace APM (Compuware) Dynatrace Data Center RUM (Do IT WiSE) Dynatrace Data Center RUM (J9) Dynatrace Synthetics (Do IT Wise) ExtraHop Networks Helion Monasca HEP OneView HPE Systems Insight Manager IBM NetCool IBM Tivoli (J9) OpenText™ APM OpenText™ AppPulse Active / Mobile OpenText™ ArcSight Logger / ESM OpenText™ AppManager OpenText™ Network Node Manager i (NNMi) OpenText™ Operations Manager for UNIX OpenText™ Operations Manager for Windows OpenText™ Service Manager OpenText™ Universal CMDB Microsoft SCOM Nagios New Relic Nutanix Oracle Enterprise Manager Propel Service Exchange RemedyForce / Salesforce SAP Solution Manager Service Anywhere ServiceNow (AppLink) ServiceNow (Do IT WiSE) Solarwinds Network Performance Monitor Solarwinds Server and Application Monitor Splunk VMWare vCenter Operations Manager VMware vRealize Operations (VROPS) xMatters Zabbix Zenoss ### What Do G2 Reviewers Say About OpenText Operations Bridge (OpsBridge)? *AI-generated summary from verified user reviews* **Pros:** - Users value the **powerful infrastructure monitoring** capabilities of OpenText OpsBridge for enhanced performance insights. - Users find OpenText OpsBridge to be a **powerful infrastructure monitoring tool** that enhances operational efficiency. - Users appreciate the **powerful infrastructure monitoring ease** of OpenText OpsBridge, enhancing their operational efficiency and insights. - Users highlight the **powerful infrastructure monitoring** capabilities of OpenText OpsBridge, enhancing their operational efficiency. **Cons:** - Users report significant **delay issues** with support tickets, leading to frustration and unresolved problems over extended periods. - Users experience significant **delays in support responses** , resulting in unresolved tickets and wasted time with irrelevant requests. - Users express frustration over the **poor logging support** that leads to unresolved issues and wasted time. - Users report a **poor support team** that often fails to resolve tickets and requests irrelevant log uploads. - Users express frustration over **poor customer support** , with unresolved tickets and unnecessary requests prolonging resolution times. #### What Are Recent G2 Reviews of OpenText Operations Bridge (OpsBridge)? **"[Streamlining IT Operations with Micro Focus Operations Bridge (OpsBridge)](https://www.g2.com/survey_responses/opentext-operations-bridge-opsbridge-review-7960528)"** **Rating:** 5.0/5.0 stars *— Shubham D.* [Read full review](https://www.g2.com/survey_responses/opentext-operations-bridge-opsbridge-review-7960528) --- **"[Micro focus - operation manager](https://www.g2.com/survey_responses/opentext-operations-bridge-opsbridge-review-6536212)"** **Rating:** 5.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/opentext-operations-bridge-opsbridge-review-6536212) --- #### What Are G2 Users Discussing About OpenText Operations Bridge (OpsBridge)? - [What is Micro Focus Operations Bridge (OpsBridge) used for?](https://www.g2.com/discussions/what-is-micro-focus-operations-bridge-opsbridge-used-for) ### 13. [Grok](https://www.g2.com/products/grok/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 18 **Product Description:** Grok is an AI operations (AIOps) platform that proactively resolves IT incidents using machine intelligence and automation. ### What Do G2 Reviewers Say About Grok? *AI-generated summary from verified user reviews* **Pros:** - Users praise Grok's **real-time connection to X** , offering sharp insights and a fun, engaging personality. - Users appreciate the **ease of use** of Grok, enjoying its user-friendly interface and quick access to information. - Users appreciate the **easy setup** of Grok, allowing for a seamless start with instant assistance and insights. - Users appreciate the **easy initial setup** of Grok, enjoying its user-friendly interface and convenience. - Users are impressed by Grok's **innovative and unique approach** , providing a refreshing and engaging AI experience. **Cons:** - Users occasionally face **alert issues** with Grok, where it misinterprets queries, prompting a switch to other platforms. - Users find **insufficient information** from Grok at times, leading them to seek answers elsewhere like ChatGPT. - Users experience **data inaccuracy** with Grok, often leading to misinformation and incomplete responses affecting overall reliability. - Users find Grok has **limited features** , restricting options for customization and access, especially without the premium version. - Users find Grok lacking in **essential features** , limiting its effectiveness compared to more developed AI platforms. #### What Are Recent G2 Reviews of Grok? **"[Flexible Options Beyond the Basic AI Version](https://www.g2.com/survey_responses/grok-review-12328857)"** **Rating:** 4.0/5.0 stars *— Robert K.* [Read full review](https://www.g2.com/survey_responses/grok-review-12328857) --- **"[Pioneering Real-Time Insights with a Witty Edge](https://www.g2.com/survey_responses/grok-review-12326011)"** **Rating:** 5.0/5.0 stars *— Pratyaksh M.* [Read full review](https://www.g2.com/survey_responses/grok-review-12326011) --- ### 14. [CA WatchTower Platform ML Insights](https://www.g2.com/products/ca-watchtower-platform-ml-insights/reviews) **Average Rating:** 4.2/5.0 **Total Reviews:** 11 **Product Description:** Embedded intelligence to proactively prevent problems, fix issues faster and get more done. #### What Are Recent G2 Reviews of CA WatchTower Platform ML Insights? **"[Experience using CA Mainframe](https://www.g2.com/survey_responses/ca-watchtower-platform-ml-insights-review-8293626)"** **Rating:** 4.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/ca-watchtower-platform-ml-insights-review-8293626) --- **"[Working with CA Mainframe helps to analyse the business](https://www.g2.com/survey_responses/ca-watchtower-platform-ml-insights-review-8303876)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/ca-watchtower-platform-ml-insights-review-8303876) --- ### 15. [OpsPilot](https://www.g2.com/products/opspilot/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 174 **Product Description:** OpsPilot OpsPilot is an AI-powered observability and autonomous reliability platform with an AI Site Reliability Engineering (SRE) teammate that helps engineering and operations teams detect, understand, and resolve incidents faster — and increasingly prevent them from happening at all. Your 24/7 stack expert Modern production systems — microservices, distributed architectures, cloud and hybrid environments — generate enormous volumes of telemetry. Your existing tools surface that data. But they still leave engineers responsible for interpreting signals, finding root causes, and deciding what to do next. OpsPilot closes that gap. It continuously analyzes telemetry across your applications, infrastructure, and services — then tells your team what is happening, why it is happening, and what to do about it. From dashboards to autonomous reliability OpsPilot goes beyond alerting and visualization. It correlates signals across metrics, logs, traces, and deployment events to identify abnormal behavior, explain root causes, and guide teams toward faster resolution — dramatically reducing time spent on incident investigation and operational troubleshooting. Over time, it evolves from reactive investigation toward proactive and autonomous operations. Your AI SRE teammate OpsPilot acts as an AI SRE teammate — augmenting your operations team by answering the questions engineers face during incidents: What changed? Where is the failure occurring? Which service is responsible? What should we investigate next? Three core capabilities Observability — collects and correlates telemetry across metrics, logs, traces, JVM data, and application-level diagnostics for a complete picture of system behavior. Operational Intelligence — applies AI-driven analysis to surface what changed, what is causing the issue, which components are involved, and what actions may resolve it. Foundational capabilities include anomaly detection, alert reduction, telemetry correlation, and root cause analysis. Action and Automation — supports guided incident response, runbook generation, automated remediation, and continuous operational learning — moving teams progressively toward autonomous reliability. OpenTelemetry-native. No new agents required. OpsPilot ingests telemetry via OTLP over gRPC or HTTP — no proprietary agent required. It works with your existing OpenTelemetry instrumentation across Kubernetes, microservices, cloud services, and serverless platforms. Prometheus-compatible metrics, Loki log ingestion, and Jaeger/Zipkin trace formats are also supported. For teams needing deep JVM or ColdFusion diagnostics, the optional FusionReactor APM agent provides additional application-level telemetry. Built for DevOps, SRE, and platform engineering teams OpsPilot is designed for organizations running modern production systems that require high reliability and operational efficiency — particularly teams moving toward SRE or platform engineering models who need deeper operational insight without increasing headcount. Deployed as SaaS, hybrid, or agentless via OpenTelemetry. ### What Do G2 Reviewers Say About OpsPilot? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of OpsPilot, enjoying straightforward setup and accessible real-time insights. - Users value the **beneficial insights** from OpsPilot, enabling quick access to web metrics and performance analysis. - Users value the **real-time visibility and detailed monitoring capabilities** of FusionReactor APM for optimized performance. - Users value the **real-time monitoring** of OpsPilot, which enhances performance tracking and simplifies issue resolution significantly. - Users praise the **responsive customer support** of OpsPilot, appreciating their friendly and quick assistance with issues. **Cons:** - Users find the **learning curve steep** for OpsPilot, with complex settings that can often be confusing and overwhelming. - Users find the **difficult configuration** of OpsPilot challenging, often leading to missed insights or confusion over settings. - Users find that there is a **learning difficulty** with OpsPilot, particularly in setting up alerts and notifications. - Users find the **UI confusing** , particularly in the cloud version, despite ongoing improvements to enhance usability. - Users find the **UI design confusing** , affecting usability despite ongoing improvements for the OpsPilot interface. #### What Are Recent G2 Reviews of OpsPilot? **"[FusionReactor APM: Real-Time Memory Insights and Proactive Crash Protection](https://www.g2.com/survey_responses/opspilot-review-12399926)"** **Rating:** 5.0/5.0 stars *— Octavian C.* [Read full review](https://www.g2.com/survey_responses/opspilot-review-12399926) --- **"[Ein echtes "Must-Have" für jeden Betreiber eines Anwendungsservers.](https://www.g2.com/survey_responses/opspilot-review-11664008)"** **Rating:** 5.0/5.0 stars *— René H.* [Read full review](https://www.g2.com/survey_responses/opspilot-review-11664008) --- #### What Are G2 Users Discussing About OpsPilot? - [What is FusionReactor APM used for?](https://www.g2.com/discussions/what-is-fusionreactor-apm-used-for) ### 16. [SUSE Cloud Observability](https://www.g2.com/products/suse-cloud-observability/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 30 **Product Description:** SUSE Cloud Observability helps platform teams and SREs gain full-stack visibility across Kubernetes, hybrid and on-premise environments. Built with open standards like OpenTelemetry, it provides a unified platform to collect, correlate and act on telemetry data—metrics, events, logs and traces—without vendor lock-in. Whether you're troubleshooting distributed applications or optimizing performance at scale, SUSE Cloud Observability accelerates root cause analysis and helps teams move from issue detection to resolution fast. The platform come with 40+ prebuilt dashboards for EKS, EC2, Kubernetes and more. It is cloud-first, developer friendly and available as a free trial on the AWS Marketplace. ### What Do G2 Reviewers Say About SUSE Cloud Observability? *AI-generated summary from verified user reviews* **Pros:** - Users value the **seamless cloud integration** of SUSE Cloud Observability, enhancing their monitoring and troubleshooting capabilities. - Users value the **seamless integrations** of SUSE Cloud Observability, enhancing monitoring and troubleshooting across environments. - Users value the **real-time alerts** of SUSE Cloud Observability, enhancing their monitoring and troubleshooting capabilities efficiently. - Users value the **real-time alerts** in SUSE Cloud Observability for enhancing monitoring and troubleshooting efficiency. - Users value the **automation capabilities** of SUSE Cloud Observability for simplifying monitoring and troubleshooting processes effectively. **Cons:** - Users report **noisy alerts** that can disrupt their experience unless carefully fine-tuned during configuration. - Users find the **noisy alerts** to be problematic unless carefully configured, impacting their overall experience. - Users face a **difficult learning curve** with SUSE Cloud Observability, needing familiarity with Kubernetes and OpenTelemetry for effective use. - Users find the **inefficient alert system** challenging, as noisy alerts complicate management without careful configuration. - Users find the **learning curve steep** with SUSE Cloud Observability, especially for those new to Kubernetes or OpenTelemetry. #### What Are Recent G2 Reviews of SUSE Cloud Observability? **"[Powerful, User-Friendly Cloud Monitoring Solution](https://www.g2.com/survey_responses/suse-cloud-observability-review-11687459)"** **Rating:** 5.0/5.0 stars *— Md S.* [Read full review](https://www.g2.com/survey_responses/suse-cloud-observability-review-11687459) --- **"[Awesome](https://www.g2.com/survey_responses/suse-cloud-observability-review-11659087)"** **Rating:** 4.5/5.0 stars *— Prafull J.* [Read full review](https://www.g2.com/survey_responses/suse-cloud-observability-review-11659087) --- #### What Are G2 Users Discussing About SUSE Cloud Observability? - [What is StackState used for?](https://www.g2.com/discussions/what-is-stackstate-used-for) ### 17. [CrunchMetrics](https://www.g2.com/products/crunchmetrics/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 23 **Product Description:** CrunchMetrics is an advanced anomaly detection system, that leverages the combined power of statistical methods and AI-ML based techniques to sift through your data to identify incidents that are business critical in nature. It examines historical data to understand and establish what is ‘normal’ behavior, and then constantly monitors data streams to single out ‘abnormal’ patterns, known as anomalies. ### What Do G2 Reviewers Say About CrunchMetrics? *AI-generated summary from verified user reviews* **Pros:** - Users value the **real-time anomaly detection** capabilities of CrunchMetrics, enhancing operational transparency and decision-making efficiency. - Users appreciate the **ease of use** of CrunchMetrics, highlighting its user-friendly interface and smooth functionality. - Users appreciate the **analytical skills** of CrunchMetrics, providing valuable insights for better decision-making and problem-solving. - Users value the **enhanced efficiency** of CrunchMetrics, leveraging AI for improved decision-making and anomaly detection. - Users appreciate the **flexibility** of CrunchMetrics, noting its adaptability to various domains and seamless integration. **Cons:** - Users find the pricing to be **expensive** , suggesting it could be more competitive to encourage greater usage. - Users find the **confusing pricing** of CrunchMetrics to be a barrier, lacking transparency and accessibility. - Users may find the **learning curve challenging** , making daily to weekly usage of CrunchMetrics somewhat difficult. - Users find the **pricing structure challenging** , especially for larger organizations, impacting overall accessibility. - Users find the **implementation complexity** of CrunchMetrics to be challenging, impacting ease of use and efficiency. #### What Are Recent G2 Reviews of CrunchMetrics? **"[Good prospective tool](https://www.g2.com/survey_responses/crunchmetrics-review-8489990)"** **Rating:** 4.0/5.0 stars *— Mehmet D.* [Read full review](https://www.g2.com/survey_responses/crunchmetrics-review-8489990) --- **"[An incredible tool](https://www.g2.com/survey_responses/crunchmetrics-review-8959817)"** **Rating:** 5.0/5.0 stars *— Diego C.* [Read full review](https://www.g2.com/survey_responses/crunchmetrics-review-8959817) --- #### What Are G2 Users Discussing About CrunchMetrics? - [What is CrunchMetrics used for?](https://www.g2.com/discussions/what-is-crunchmetrics-used-for) ### 18. [Virtana Platform](https://www.g2.com/products/virtana-platform/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 35 **Product Description:** Virtana delivers the industry's deepest hybrid infrastructure observability platform, empowering enterprises to ensure the availability, efficiency, and resiliency of their mission-critical services. Our AI-powered platform unifies visibility across on-premises, cloud, and Kubernetes environments, providing comprehensive real-time insights and intelligent automation. Key differentiators: · AI-driven early warning system and automated root cause analysis · Comprehensive topology discovery and mapping across your entire IT estate · Consolidated alerts with policy-based noise reduction · Natural language infrastructure querying through Virtana Copilot · Vendor-agnostic platform supporting both on-premises and cloud deployments Organizations choose Virtana to: · Reduce mean time to resolution (MTTR) through AI-powered automation · Lower infrastructure costs with intelligent optimization · Improve team productivity by eliminating alert noise · Support demanding AI workloads with deep infrastructure insights · Transform infrastructure from a cost center to a strategic asset Whether you're managing traditional IT, hybrid environments, or advanced AI data centers, Virtana provides the deep observability and intelligent automation needed to drive operational excellence and accelerate digital transformation. #### What Are Recent G2 Reviews of Virtana Platform? **"[Fantasic Cloud Insight. In an easily digestable format!](https://www.g2.com/survey_responses/virtana-platform-review-7033454)"** **Rating:** 5.0/5.0 stars *— Jeff R.* [Read full review](https://www.g2.com/survey_responses/virtana-platform-review-7033454) --- **"[OpsCruise is useful in monitoring our cloud infrastructure thanks to Autonomous App Behavior Model](https://www.g2.com/survey_responses/virtana-platform-review-6648375)"** **Rating:** 4.0/5.0 stars *— Nikitha S.* [Read full review](https://www.g2.com/survey_responses/virtana-platform-review-6648375) --- #### What Are G2 Users Discussing About Virtana Platform? - [What is Zenoss used for?](https://www.g2.com/discussions/what-is-zenoss-used-for) - [What is Opscruise used for?](https://www.g2.com/discussions/what-is-opscruise-used-for) - [What is Virtana Platform used for?](https://www.g2.com/discussions/what-is-virtana-platform-used-for) ### 19. [Netreo](https://www.g2.com/products/netreo/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 54 **Product Description:** Netreo is the most comprehensive IT Operations full stack monitoring and AIOps company. We provide a single source of truth for proactive performance and availability monitoring for large enterprise networks, infrastructure, applications and business services. Our solution is used by: - IT Executives to have full visibility from the business service right down into the infrastructure and network that supports it. - IT Engineering departments as a decision support system for capacity planning, and architecting modern solutions. - IT Operations teams for real time visibility into what is failing in their environment, what bottlenecks exist and who it is affecting. We provide all of these insights for systems and vendor mixes in large heterogeneous and constantly evolving environments. We have an extensive and growing list of supported vendors (over 350 integrations) including network vendors, servers, storage, virtualization, cloud platforms and others. Our platform is also an extensible environment with the ability for our user community to build and share their integrations with others in our customer community. #### What Are Recent G2 Reviews of Netreo? **"[Netreo Amazing IT Observability and Operations experience](https://www.g2.com/survey_responses/netreo-review-8778727)"** **Rating:** 5.0/5.0 stars *— Rodrigo V.* [Read full review](https://www.g2.com/survey_responses/netreo-review-8778727) --- **"["Netreo: The Best Vendor for Full-Stack Monitoring and AIOps Solutions"](https://www.g2.com/survey_responses/netreo-review-7793121)"** **Rating:** 5.0/5.0 stars *— Victor A.* [Read full review](https://www.g2.com/survey_responses/netreo-review-7793121) --- #### What Are G2 Users Discussing About Netreo? - [What is Netreo used for?](https://www.g2.com/discussions/what-is-netreo-used-for) - 1 comment ### 20. [Deepchecks](https://www.g2.com/products/deepchecks/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 21 **Product Description:** Release high-quality LLM apps quickly without compromising on testing. Never be held back by the complex and subjective nature of LLM interactions. ### What Do G2 Reviewers Say About Deepchecks? *AI-generated summary from verified user reviews* **Pros:** - Users value the **strong security measures** of Deepchecks, ensuring compliance with strict data privacy standards. - Users value the **flexibility and versatility** of Deepchecks for various tasks and user types, ensuring broad applicability. - Users appreciate the **exceptional customer support** of Deepchecks, valuing its accessibility for both technical and non-technical users. - Users praise the **helpful and professional customer support** of Deepchecks, enhancing the overall user experience. - Users find the **ease of use** of Deepchecks beneficial for seamless adoption across technical and business teams. #### What Are Recent G2 Reviews of Deepchecks? **"[It was a great experience with the platform](https://www.g2.com/survey_responses/deepchecks-review-9936912)"** **Rating:** 5.0/5.0 stars *— PULAPARTHI V.* [Read full review](https://www.g2.com/survey_responses/deepchecks-review-9936912) --- **"[Best Solution for Both Coders and Clickers](https://www.g2.com/survey_responses/deepchecks-review-10344037)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer & Network Security* [Read full review](https://www.g2.com/survey_responses/deepchecks-review-10344037) --- ### 21. [Federator.ai](https://www.g2.com/products/federator-ai/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 9 **Product Description:** Federator.ai helps enterprises optimize cloud resources, maximize application performance, and save significant cost without excessive over-provisioning or under-provisioning of resources, meeting the service-level requirements of their applications. Enterprises often lack understanding of the resources needed to support their applications. This leads to either excessive over-provisioning or under-provisioning of resources (CPU, memory, storage). Using machine learning, Federator.ai determines the optimal cloud resources needed to support any workload on OpenShift and helps users find the best-cost instances from cloud providers for their applications. Resource planning and optimization By installing Federator.ai as an operator on OpenShift, you can predict what resources (e.g. CPU, Memory) are needed to support each of your applications without guessing. Imagine you are running hundreds of applications on OpenShift, and you need to allocate the right amount of cloud resources to support each of them. Federator.ai helps you do effective resource planning without excessive over-provisioning or under-provisioning your resources. Cloud cost optimization If you are running your applications on public clouds, you need to decide which instances from the cloud providers you need to subscribe to. You are charged for the cloud instances every minute, whether your applications utilize the resources or not. Federator.ai helps you determine the best-cost instances from cloud providers in supporting each of your application workloads. The typical cost savings on cloud instances using Federator.ai ranges from 20% to 70%. Application performance optimization In a dynamic environment, workloads can change quickly. Through auto-scaling, Kubernetes helps scale up and down the resources supporting your applications. Your application performance (throughput and latency) depends on the effectiveness of your auto-scaling. Using machine learning, Federator.ai significantly enhances your auto-scaling capability on OpenShift and optimizes your application performance. #### What Are Recent G2 Reviews of Federator.ai? **"[Great AIOps Tool](https://www.g2.com/survey_responses/federator-ai-review-7507492)"** **Rating:** 4.5/5.0 stars *— David W.* [Read full review](https://www.g2.com/survey_responses/federator-ai-review-7507492) --- **"[A great tool for cloud optimization](https://www.g2.com/survey_responses/federator-ai-review-7511130)"** **Rating:** 5.0/5.0 stars *— Sally L.* [Read full review](https://www.g2.com/survey_responses/federator-ai-review-7511130) --- ### 22. [System Center Operations Manager](https://www.g2.com/products/system-center-operations-manager/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 9 **Product Description:** At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create #### What Are Recent G2 Reviews of System Center Operations Manager? **"[MS SCOM Review](https://www.g2.com/survey_responses/system-center-operations-manager-review-4954747)"** **Rating:** 5.0/5.0 stars *— Elie S.* [Read full review](https://www.g2.com/survey_responses/system-center-operations-manager-review-4954747) --- **"[Best for Enterprise Systems Monitoring](https://www.g2.com/survey_responses/system-center-operations-manager-review-5323903)"** **Rating:** 5.0/5.0 stars *— Verified User in Retail* [Read full review](https://www.g2.com/survey_responses/system-center-operations-manager-review-5323903) --- #### What Are G2 Users Discussing About System Center Operations Manager? - [What does System Center Configuration Manager do?](https://www.g2.com/discussions/what-does-system-center-configuration-manager-do) - [What are the components of SCOM?](https://www.g2.com/discussions/what-are-the-components-of-scom) - [Which are the new features in System Center Operation Manager 2016?](https://www.g2.com/discussions/which-are-the-new-features-in-system-center-operation-manager-2016) ### 23. [Netdata](https://www.g2.com/products/netdata/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 51 **Product Description:** Netdata is an AI-driven real-time observability platform that monitors systems, containers, applications, and infrastructure across servers, cloud environments, Kubernetes clusters, and IoT devices. With zero-configuration deployment, Netdata installs instantly, automatically discovers metrics, builds dashboards, and begins monitoring without setup. Netdata AI serves as an intelligent on-call assistant, automatically investigating alerts, correlating anomalies across thousands of metrics, identifying root causes, and explaining incidents with clear, actionable recommendations. By transforming raw telemetry into AI-guided insights, Netdata helps engineering teams move from alert to resolution in minutes instead of hours. The platform collects per-second metrics through 800+ integrations across operating systems, containers, databases, applications, OpenMetrics exporters, StatsD, and logs. Its distributed architecture processes data at the edge, enabling high-resolution monitoring and visibility into short-lived performance issues that traditional monitoring tools often miss. Netdata is available as a scalable SaaS platform with Netdata Cloud or as a private deployment within your own infrastructure, supporting on-prem, private cloud, and air-gapped environments while delivering automated dashboards, ML-based anomaly detection, and real-time troubleshooting. ### What Do G2 Reviewers Say About Netdata? *AI-generated summary from verified user reviews* **Pros:** - Users find Netdata's **ease of use** remarkable, enabling effortless monitoring and quick insights into system performance. - Users highlight the **easy setup** of Netdata, enabling quick integration and efficient monitoring across multiple servers. - Users value the **real-time, granular performance monitoring** of Netdata, enhancing decision-making and infrastructure management. - Users value the **real-time monitoring** capabilities of Netdata, enabling proactive management and optimized system performance. - Users value the **user-friendly interface** of Netdata, appreciating its intuitive dashboard and appealing data presentation. **Cons:** - Users note the **missing features** in Netdata, yet appreciate its rapid improvements and essential monitoring capabilities. - Users find the **insufficient information** on documentation and Windows support a bit limiting for optimal usage. - Users find the **limited compatibility** of Netdata frustrating, especially with Windows and lack of third-party support. - Users note the **limited functionality** of Netdata, citing issues with scalability and network data assessment. - Users face **resource limitations** with Netdata, requiring powerful systems for effective data management and analysis. #### What Are Recent G2 Reviews of Netdata? **"[Easy to Use with Great Real-Time Monitoring and Alerts](https://www.g2.com/survey_responses/netdata-review-12597474)"** **Rating:** 5.0/5.0 stars *— Adolfo O.* [Read full review](https://www.g2.com/survey_responses/netdata-review-12597474) --- **"[An indispensable solution for central monitoring](https://www.g2.com/survey_responses/netdata-review-12045598)"** **Rating:** 4.5/5.0 stars *— Tade S.* [Read full review](https://www.g2.com/survey_responses/netdata-review-12045598) --- ### 24. [Pure1 AIOps](https://www.g2.com/products/pure1-aiops/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 12 **Product Description:** Pure1 Meta is global intelligence built from a massive collection of storage array health and performance data. By continuously scanning call-home telemetry from Pure’s installed base, Pure1 Meta uses machine learning predictive analytics to help resolve potential issues and optimize your workloads. ### What Do G2 Reviewers Say About Pure1 AIOps? *AI-generated summary from verified user reviews* **Pros:** - Users value the **great support team** of Pure1 AIOps for their fast responses and ease of implementation. - Users value the **ease of use** of Pure1 AIOps, thanks to its intuitive interface and streamlined administration. - Users find the **implementation ease** of Pure1 AIOps enhanced by a fully built-out system and user-friendly admin console. - Users value the **advanced security features** of Pure1 AIOps, enhancing their data protection and peace of mind. **Cons:** - Users find the **high upfront costs** and hardware subscription confusing, impacting their overall satisfaction with Pure1 AIOps. - Users find the **upfront cost and subscription fees** of Pure1 AIOps difficult to justify and understand clearly. #### What Are Recent G2 Reviews of Pure1 AIOps? **"[For monitoring cloud storage](https://www.g2.com/survey_responses/pure1-aiops-review-8917532)"** **Rating:** 4.0/5.0 stars *— Ludvi A.* [Read full review](https://www.g2.com/survey_responses/pure1-aiops-review-8917532) --- **"[Pure Storage Systems are more than just Storage](https://www.g2.com/survey_responses/pure1-aiops-review-10478466)"** **Rating:** 4.5/5.0 stars *— Verified User in Higher Education* [Read full review](https://www.g2.com/survey_responses/pure1-aiops-review-10478466) --- #### What Are G2 Users Discussing About Pure1 AIOps? - [What does Pure1 do?](https://www.g2.com/discussions/what-does-pure1-do) - [What is pure storage purity?](https://www.g2.com/discussions/pure1-what-is-pure-storage-purity) - [What is Pure1 Meta?](https://www.g2.com/discussions/what-is-pure1-meta) ### 25. [ManageEngine Applications Manager](https://www.g2.com/products/manageengine-applications-manager/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 105 **Product Description:** ManageEngine Applications Manager is an application performance & IT infrastructure monitoring solution that is designed to combat modern infrastructure problems and ensure that your business and end users are unaffected by substandard performance and downtime. By leveraging deep application performance monitoring with byte-code instrumentation, infrastructure monitoring, hybrid cloud monitoring, and digital experience monitoring from a single console, IT and DevOps teams will be able to gain code-level insights, automate their processes, pinpoint & resolve performance issues, and deliver better business outcomes. Overall, our product will help businesses optimize application usage & revenue, reduce MTTR, improve DevOps processes, migrate to the cloud with confidence, respond to incidents faster, and ensure seamless user experiences. ### What Do G2 Reviewers Say About ManageEngine Applications Manager? *AI-generated summary from verified user reviews* **Pros:** - Users value the **comprehensive end-to-end monitoring** of ManageEngine Applications Manager, enhancing performance detection and operational efficiency. - Users value the **monitoring capabilities** of ManageEngine Applications Manager, enabling proactive issue resolution before client impact. - Users benefit from the **comprehensive monitoring capabilities** of ManageEngine Applications Manager, enhancing issue resolution and performance insight. - Users value the **real-time monitoring** capabilities of ManageEngine Applications Manager, enhancing proactive performance management and efficiency. - Users value the **comprehensive visibility** of ManageEngine Applications Manager, enabling effective monitoring and quick issue resolution. **Cons:** - Users notice **limited features** and integration challenges, particularly in large enterprise setups, affecting overall user experience. - Users note **integration limitations** and scalability concerns, especially for large enterprises, impacting overall user experience. - Users face **integration issues** that complicate setups and limit connectivity with third-party tools, affecting overall usability. - Users find a **steep learning curve** during initial setup and configuration for larger environments in ManageEngine Applications Manager. - Users often face **initial setup complexity** in ManageEngine Applications Manager, which can be time-consuming and challenging. #### What Are Recent G2 Reviews of ManageEngine Applications Manager? **"[Reliable Tool for Application Performance Monitoring for ManageEngine Applications Manager.](https://www.g2.com/survey_responses/manageengine-applications-manager-review-12516609)"** **Rating:** 5.0/5.0 stars *— Ankur P.* [Read full review](https://www.g2.com/survey_responses/manageengine-applications-manager-review-12516609) --- **"[Comprehensive Tool for Application Performance Management](https://www.g2.com/survey_responses/manageengine-applications-manager-review-12533668)"** **Rating:** 5.0/5.0 stars *— Rashmita T.* [Read full review](https://www.g2.com/survey_responses/manageengine-applications-manager-review-12533668) --- #### What Are G2 Users Discussing About ManageEngine Applications Manager? - [Which of the following statistics do APM provide?](https://www.g2.com/discussions/which-of-the-following-statistics-do-apm-provide) - 1 comment - [What is APM tool?](https://www.g2.com/discussions/what-is-apm-tool) - 1 comment - [What is the use of ManageEngine?](https://www.g2.com/discussions/what-is-the-use-of-manageengine) - 1 comment ## What Is AIOps Tools? [IT Infrastructure Software](https://www.g2.com/categories/it-infrastructure) ## What Software Categories Are Similar to AIOps Tools? - [Application Performance Monitoring (APM) Tools](https://www.g2.com/categories/application-performance-monitoring-apm) - [Cloud Infrastructure Monitoring Software](https://www.g2.com/categories/cloud-infrastructure-monitoring) - [Observability Software](https://www.g2.com/categories/observability-software) --- ## 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. 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?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..)) ### 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 #### **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.[](https://www.g2.com/products/datadog/reviews?utm_source=chatgpt.com)[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.[](https://www.g2.com/products/dynatrace/reviews?utm_source=chatgpt.com)[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.[](https://www.g2.com/products/atera/reviews)[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,[](https://www.g2.com/products/servicenow-it-operations-management/reviews)[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[](https://www.g2.com/products/dynatrace/reviews?utm_source=chatgpt.com)[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 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.[](https://www.g2.com/products/dynatrace/reviews?utm_source=chatgpt.com)[Dynatrace](https://www.g2.com/products/dynatrace/reviews) is known for AI-driven observability and automatic service discovery across large distributed systems.[](https://www.g2.com/products/servicenow-it-operations-management/reviews)[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.[ ](https://www.g2.com/products/datadog/reviews?utm_source=chatgpt.com) #### **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.[](https://www.g2.com/products/dynatrace/reviews?utm_source=chatgpt.com)[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. #### 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[](https://research.g2.com/insights/author/gauri-pawsey)[Tian Lin](https://research.g2.com/insights/author/tian-lin) Last updated on: March 16, 2026