  # Best AIOps Tools and Platforms - Page 3

  *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 (207 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 (1,160 reviews) | AIOps for IT teams managing distributed remote endpoints | "[Comprehensive IT Management Made Easy with Powerful Add-Ons](https://www.g2.com/survey_responses/atera-review-12159122)" |
| 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 | [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)" |
| 10 | [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)" |

  
## 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)

  
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---

  
## 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. [Parny](https://www.g2.com/products/parny/reviews)
  **Average Rating:** 5.0/5.0
  **Total Reviews:** 11
  **Product Description:** Parny is an AIOps platform that helps engineering and operations teams understand, correlate, and respond to incidents across complex infrastructure environments. Parny ingests signals from existing monitoring tools and automatically discovers services and infrastructure components through built-in service discovery. It continuously maps real-time dependencies using its Domain Tree and Infrastructure Visibility capabilities, allowing teams to see how systems connect, where failures propagate, and what impact they create. Rather than treating alerts as isolated events, Parny correlates signals and transforms them into contextualized incidents. Alert and incident management workflows ensure that the right alert reaches the right responder with the correct operational context, reducing noise and accelerating resolution. By combining topology awareness, dependency intelligence, and response automation, Parny enables teams to move beyond reactive monitoring toward operational clarity. It supports modern distributed environments including microservices, containers, and hybrid cloud infrastructure without requiring replacement of existing observability investments. This approach helps organizations improve reliability, reduce alert fatigue, strengthen ownership visibility, and maintain service health at scale.



### What Do G2 Reviewers Say About Parny?
*AI-generated summary from verified user reviews*

**Pros:**

- Users praise Parny&#39;s **efficient alert management** , enabling seamless incident tracking and clear, organized notifications.
- Users love the **clean and intuitive interface** of Parny, making team management straightforward and efficient.
- Users appreciate the **efficient alert management** of Parny, enhancing incident tracking and communication during critical events.
- Users value Parny&#39;s **team collaboration features** , which enhance organization and streamline workflows effortlessly for better productivity.
- Users value the **AI-driven insights** of Parny, enhancing organization and productivity with minimal learning effort.

**Cons:**

- Users note **limited features** in Parny, particularly wishing for enhanced mobile app functionality compared to the web version.
- Users find the **limited mobile functionality** lacking, wishing for enhancements to match the web version&#39;s features.
- Users feel the mobile app requires **enhancement in quality** to align with the web version&#39;s features.
- Users note **integration issues** as some screens feel new and the integrations list needs improvement.
- Users find the **missing features** on the mobile app limiting compared to the web version, affecting usability.
  #### What Are Recent G2 Reviews of Parny?

**"[Fewer tabs, faster fixes, our switch to Parny](https://www.g2.com/survey_responses/parny-review-11820162)"**

**Rating:** 4.5/5.0 stars
*— Burak Hasan K.*

[Read full review](https://www.g2.com/survey_responses/parny-review-11820162)

---

**"[The Ease of Using Parny](https://www.g2.com/survey_responses/parny-review-12343519)"**

**Rating:** 5.0/5.0 stars
*— Müslüm A.*

[Read full review](https://www.g2.com/survey_responses/parny-review-12343519)

---

### 2. [Avantra](https://www.g2.com/products/avantra/reviews)
  **Average Rating:** 4.6/5.0
  **Total Reviews:** 12
  **Product Description:** Avantra is the industry-leading AIOps platform for SAP automation operations: helping companies transform into a self-healing enterprise. Avantra helps SAP customers to improve business experience, performance, and compliance, focus valuable resources on digital transformation and reduce operational cost. Avantra delivers a unified operations platform, whether on-premises, in the cloud, SaaS or hybrid, for both Build and Run operations. Founded in Switzerland in 2000 with a global presence, Enterprises as well as Managed Service Providers trust Avantra to provide them unmatched intelligence and insight into their landscape health. Learn more at avantra.com.



### What Do G2 Reviewers Say About Avantra?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **flexible automation features** of Avantra, enhancing usability and implementation for their needs.
- Users value the **flexibility and ease of use** in Avantra&#39;s data management capabilities and automation features.
- Users find Avantra **flexible and easy to use** , facilitating smooth implementation and understanding of its features.
- Users find Avantra to have an **easy implementation** , making it flexible and user-friendly for various automations.
- Users value the **flexibility** of Avantra, appreciating its ease of use and recent automation enhancements.

**Cons:**

- Users report **error handling issues** in Avantra, noting delays in bug fixes and inadequate support for queries.
- Users are disappointed by the **missing features** in Avantra, particularly the lack of timely bug fixes and support.
- Users have faced issues with **patching bugs** in Avantra, leading to unmet expectations for timely fixes.
- Users have experienced **poor customer support** , with slow responses to ticket queries and unresolved issues over time.
- Users express frustration with **poor support services** , citing slow response times and unresolved bugs in the tool.
  #### What Are Recent G2 Reviews of Avantra?

**"[Avantra - Automation Tool](https://www.g2.com/survey_responses/avantra-review-9239635)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Information Technology and Services*

[Read full review](https://www.g2.com/survey_responses/avantra-review-9239635)

---

**"[Easiest way to transform your business digitally and enhance customer experience.](https://www.g2.com/survey_responses/avantra-review-5102303)"**

**Rating:** 5.0/5.0 stars
*— John K.*

[Read full review](https://www.g2.com/survey_responses/avantra-review-5102303)

---

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

- [What is Avantra used for?](https://www.g2.com/discussions/what-is-avantra-used-for)
### 3. [PerfectScale](https://www.g2.com/products/perfectscale/reviews)
  **Average Rating:** 4.6/5.0
  **Total Reviews:** 21
  **Product Description:** PerfectScale by DoiT Kubernetes (K8s) Optimization and Governance Platform makes it easy for DevOps, Platform Engineering, and SRE professionals to improve the cost-effectiveness and stability of their complete K8s environment. As the industry&#39;s only solution combining AI with production-ready automation, K8s environments are safely and effortlessly right-sized for peak resilience and availability, to eliminate wasted resources and cost, and to minimize carbon emissions. As a Gartner Cool Vendor for Container Management, PerfectScale continuously optimizes every layer of your K8s stack, guaranteeing your environment is always perfectly scalable to meet demand. Key Platform Capabilities: - A unified platform to optimize the cost and performance of your complete K8s stack. - Autonomous container and workload right-sizing (including ephemeral,ML, and Java containers). - Node-level visibility and optimization insights (including autoscaling configurations). - Revision-aware automation aligns continuous optimization with continuous delivery. - Real-time resilience risk and cost anomaly detection. - Granular visibility, in-depth insight and costs, waste, and risk trend analysis over time. - Customizable alerting and ticketing that integrates directly into communication and collaboration tools. - OOTB integrations with JIRA, Slack, Teams, Datadog, Grafana, Okta, Prometheus, and more. Get started with PerfectScale for free. It deploys in minutes and instantly starts reducing Kubernetes costs and improving performance with minimal footprint on your environment. Get started today at perfectscale.io!



### What Do G2 Reviewers Say About PerfectScale?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **cost optimization** benefits of PerfectScale, achieving significant savings while maintaining optimal performance.
- Users benefit from **significant cost savings** with PerfectScale, optimizing Kubernetes efficiently without compromising performance.
- Users appreciate the **outstanding performance** of PerfectScale, enabling cost savings without sacrificing efficiency or effectiveness.
- Users appreciate the **ease of use** of PerfectScale, enjoying its clear insights and intuitive interface for optimal performance.
- Users appreciate the **efficiency improvement** from PerfectScale, optimizing Kubernetes workloads while cutting costs without sacrificing performance.

**Cons:**

- Users find the UI lacking, particularly in **graph visualization options** , hindering the overall tracking experience.
- Users report **dashboard issues** with limited UI themes and inability to zoom in on graphs.
- Users find the **poor UI design** limiting, especially with only dark mode available and no zoom feature for graphs.
- Users find the **limited UI options** frustrating, with only dark mode available and no ability to zoom in on graphs.
- Users suggest improvements for **UI updates** , including tabular views and AI services for better workload tracking.
  #### What Are Recent G2 Reviews of PerfectScale?

**"[PerfectScale makes Kubernetes optimization effortless and insightful](https://www.g2.com/survey_responses/perfectscale-review-11538732)"**

**Rating:** 5.0/5.0 stars
*— Tomer S.*

[Read full review](https://www.g2.com/survey_responses/perfectscale-review-11538732)

---

**"[Brings great visibility on kubernetes clusters in all aspects of cost savings](https://www.g2.com/survey_responses/perfectscale-review-11544156)"**

**Rating:** 4.0/5.0 stars
*— Ron C.*

[Read full review](https://www.g2.com/survey_responses/perfectscale-review-11544156)

---

### 4. [ZerofAI](https://www.g2.com/products/zerofai/reviews)
  **Average Rating:** 5.0/5.0
  **Total Reviews:** 4
  **Product Description:** ZerofAI is an AI-driven platform designed to support and automate IT operations and service management activities. It combines an intelligent chatbot interface with workflow automation, predictive analytics, and real-time monitoring to assist users in resolving IT issues, logging service requests, and accessing support information. The platform includes an intelligent chatbot that provides immediate responses to end-user IT queries and helps with tasks such as software deployment, ticket creation, and incident handling. ZerofAI also offers proactive capabilities such as asset health assessment, predictive analytics for early issue identification, and consolidated compliance information on a dashboard. By integrating automated workflows and data insights, ZerofAI aims to reduce manual intervention in routine IT support processes and provide visibility into operational performance metrics for support teams and IT managers.



### What Do G2 Reviewers Say About ZerofAI?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **smart AI/ML automation** features of ZerofAI, enhancing business efficiency and optimizing IT operations.

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

**"[Effortless Security Management with Predictive Insights](https://www.g2.com/survey_responses/zerofai-review-12605479)"**

**Rating:** 5.0/5.0 stars
*— Rahul M.*

[Read full review](https://www.g2.com/survey_responses/zerofai-review-12605479)

---

**"[An Intelligent Platform for Modern IT Operations](https://www.g2.com/survey_responses/zerofai-review-12936545)"**

**Rating:** 5.0/5.0 stars
*— Satyendra T.*

[Read full review](https://www.g2.com/survey_responses/zerofai-review-12936545)

---

### 5. [Hyground](https://www.g2.com/products/hyground/reviews)
  **Average Rating:** 5.0/5.0
  **Total Reviews:** 3
  **Product Description:** Hyground.ai is a sovereign AI SRE (Site Reliability Engineering) agent for mid-market and enterprise customers. It automates repetitive SRE work, investigates alerts, correlates logs and metrics, and proposes fixes before an on-call engineer even opens their laptop — all while being self-hosted and fully GDPR-compliant so no operational data leaves the customer&#39;s environment.


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

**"[Quick root cause analyses during incidents](https://www.g2.com/survey_responses/hyground-review-12900606)"**

**Rating:** 5.0/5.0 stars
*— Wladimir J.*

[Read full review](https://www.g2.com/survey_responses/hyground-review-12900606)

---

**"[Powerful, Secure Self-Hosted AI SRE Agent That Speeds Up Incident Resolution](https://www.g2.com/survey_responses/hyground-review-12660329)"**

**Rating:** 5.0/5.0 stars
*— Niklas T.*

[Read full review](https://www.g2.com/survey_responses/hyground-review-12660329)

---

### 6. [Maxim AI](https://www.g2.com/products/maxim-ai/reviews)
  **Average Rating:** 4.8/5.0
  **Total Reviews:** 3
  **Product Description:** At Maxim, we are building an end-to-end evaluation stack to help development teams evaluate AI applications and iteratively improve them. Our platform streamlines the entire lifecycle of AI applications, right from prompt engineering (experimentation, versioning, deployment) to pre-release testing for quality and functionality, data-set creation and management for testing and fine-tuning, and post-release monitoring. Our goal is to help development teams ship high quality AI products, faster.



### What Do G2 Reviewers Say About Maxim AI?
*AI-generated summary from verified user reviews*

**Pros:**

- Users appreciate the **ease of use** of Maxim AI, enabling smooth setup and efficient project management.
- Users appreciate the **real-time alerting system** of Maxim AI, enhancing safety and quality through immediate feedback.
- Users find **annotation efficiency** of Maxim AI impressive, significantly reducing manual tasks and speeding up their workflow.
- Users appreciate the **real-time monitoring and automation** of Maxim AI, enhancing safety and swiftly resolving issues.
- Users appreciate the **real-time monitoring** of Maxim AI, enhancing safety and rapidly resolving live issues.

**Cons:**

- Users find the **poor documentation** of Maxim AI lacking and in need of more detail for better understanding.
  #### What Are Recent G2 Reviews of Maxim AI?

**"[Maxim AI review](https://www.g2.com/survey_responses/maxim-ai-review-10576532)"**

**Rating:** 5.0/5.0 stars
*— Pooja S.*

[Read full review](https://www.g2.com/survey_responses/maxim-ai-review-10576532)

---

**"[Maxim AI evaluation](https://www.g2.com/survey_responses/maxim-ai-review-11813266)"**

**Rating:** 5.0/5.0 stars
*— Fouad M.*

[Read full review](https://www.g2.com/survey_responses/maxim-ai-review-11813266)

---

### 7. [Shakudo](https://www.g2.com/products/shakudo/reviews)
  **Average Rating:** 4.5/5.0
  **Total Reviews:** 2
  **Product Description:** Shakudo ensures compatibility across data tools allowing companies to build the best data infrastructure for their needs. With Shakudo you can mix and match your data tooling to create a more reliable, performant, and cost-effective stack than ever before.



### What Do G2 Reviewers Say About Shakudo?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **connectivity** of Shakudo, optimizing their experience by seamlessly integrating various data tools.
- Users value the **flexible data access** of Shakudo, effectively integrating various tools within their data stack.
- Users appreciate Shakudo for its **seamless data integration** , optimizing the use of various tools in their data stack.
- Users value Shakudo for its **effective coordination of various data tools** , enhancing their data stack management.
- Users find Shakudo&#39;s **data pipelining capabilities** excellent for optimizing the coordination of diverse data tools.

**Cons:**

- Users face challenges with **data management issues** , often needing additional tools for complex data manipulation tasks.
- Users find **feature limitations** in Shakudo, particularly lacking in data transformation capabilities for complex tasks.
- Users find Shakudo lacks **data transformation capabilities** , often needing additional tools for complex data manipulation tasks.
- Users are frustrated by the **lack of functionality** in Shakudo, relying on other tools for complex data tasks.
- Users find a **lack of data transformation tools** , relying on external solutions for complex data manipulation tasks.
  #### What Are Recent G2 Reviews of Shakudo?

**"[Designing an efficient infrastructure](https://www.g2.com/survey_responses/shakudo-review-9996719)"**

**Rating:** 4.5/5.0 stars
*— Eliyev E.*

[Read full review](https://www.g2.com/survey_responses/shakudo-review-9996719)

---

**"[P](https://www.g2.com/survey_responses/shakudo-review-9985567)"**

**Rating:** 4.5/5.0 stars
*— Giorgi B.*

[Read full review](https://www.g2.com/survey_responses/shakudo-review-9985567)

---

### 8. [Splunk IT Service Intelligence‎ (ITSI)](https://www.g2.com/products/splunk-it-service-intelligence-itsi/reviews)
  **Average Rating:** 4.9/5.0
  **Total Reviews:** 5
  **Product Description:** Splunk IT Service Intelligence (ITSI) is an AIOps and event management solution that correlates and applies machine learning to all data for real-time, predictive performance monitoring and integrated IT management workflows. This enables teams to prevent incidents before they impact the business, and detect, respond and resolve incidents all from one place.


  #### What Are Recent G2 Reviews of Splunk IT Service Intelligence‎ (ITSI)?

**"[Tool provides complete view of technology stack](https://www.g2.com/survey_responses/splunk-it-service-intelligence-itsi-review-8302326)"**

**Rating:** 5.0/5.0 stars
*— Aak P.*

[Read full review](https://www.g2.com/survey_responses/splunk-it-service-intelligence-itsi-review-8302326)

---

**"[Splunk IT team Integrate of AI for IT technology](https://www.g2.com/survey_responses/splunk-it-service-intelligence-itsi-review-9736956)"**

**Rating:** 5.0/5.0 stars
*— Malapati K.*

[Read full review](https://www.g2.com/survey_responses/splunk-it-service-intelligence-itsi-review-9736956)

---

  #### What Are G2 Users Discussing About Splunk IT Service Intelligence‎ (ITSI)?

- [What is Splunk IT Service Intelligence‎ (ITSI) used for?](https://www.g2.com/discussions/what-is-splunk-it-service-intelligence-itsi-used-for)
### 9. [Acure.io](https://www.g2.com/products/acure-io/reviews)
  **Average Rating:** 3.5/5.0
  **Total Reviews:** 1
  **Product Description:** Acure is a simple yet powerful AIOps incident control and automation platform. It is a fully software-based solution with a flexible and open architecture.


### 10. [Axtria InsightsMAx](https://www.g2.com/products/axtria-insightsmax/reviews)
  **Average Rating:** 4.5/5.0
  **Total Reviews:** 1
  **Product Description:** Axtria InsightsMAx™ is a cloud-based, unified analytics product built for the Life Sciences industry, with a rich reusable library of data preparation capabilities and analytics models across sales, marketing, payer, patient, and trade domains. The product allows for the collaborative development of analytics and facilitates interactive decision making across diverse personas within the business. Axtria’s deep life sciences experience is infused in every aspect of Axtria InsightsMAx™ and helps users build industry specific modules and workflows enabling faster insights across use cases.


  #### What Are Recent G2 Reviews of Axtria InsightsMAx?

**"[Cost effective solution to business insights](https://www.g2.com/survey_responses/axtria-insightsmax-review-7545607)"**

**Rating:** 4.5/5.0 stars
*— Ojasi K.*

[Read full review](https://www.g2.com/survey_responses/axtria-insightsmax-review-7545607)

---

### 11. [BMC Helix Operations Management with AIOps](https://www.g2.com/products/bmc-helix-operations-management-with-aiops/reviews)
  **Average Rating:** 3.8/5.0
  **Total Reviews:** 3
  **Product Description:** BMC Helix Monitor Predicts and proactively resolves operational issues to optimize performance and availability


  #### What Are Recent G2 Reviews of BMC Helix Operations Management with AIOps?

**"[Very good cloud platform for SaaS](https://www.g2.com/survey_responses/bmc-helix-operations-management-with-aiops-review-5201530)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Information Technology and Services*

[Read full review](https://www.g2.com/survey_responses/bmc-helix-operations-management-with-aiops-review-5201530)

---

**"[I am happy to use this product](https://www.g2.com/survey_responses/bmc-helix-operations-management-with-aiops-review-5097109)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Computer Software*

[Read full review](https://www.g2.com/survey_responses/bmc-helix-operations-management-with-aiops-review-5097109)

---

  #### What Are G2 Users Discussing About BMC Helix Operations Management with AIOps?

- [What does AIOps stand for?](https://www.g2.com/discussions/what-does-aiops-stand-for)
- [What are AIOps tools?](https://www.g2.com/discussions/what-are-aiops-tools)
- [What does BMC Helix do?](https://www.g2.com/discussions/bmc-helix-operations-management-with-aiops-what-does-bmc-helix-do)
### 12. [CloudVision](https://www.g2.com/products/cloudvision/reviews)
  **Average Rating:** 4.8/5.0
  **Total Reviews:** 3
  **Product Description:** CloudVision is a network-wide approach for workload orchestration, workflow automation and real-time telemetry as a turnkey solution for Cloud Networking.


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

**"[Seamless Cloud Networking Made Easy using Turnkey Solution](https://www.g2.com/survey_responses/cloudvision-review-8302241)"**

**Rating:** 5.0/5.0 stars
*— PRANAV K.*

[Read full review](https://www.g2.com/survey_responses/cloudvision-review-8302241)

---

**"[User](https://www.g2.com/survey_responses/cloudvision-review-8508734)"**

**Rating:** 4.5/5.0 stars
*— Abu Baker E.*

[Read full review](https://www.g2.com/survey_responses/cloudvision-review-8508734)

---

### 13. [DRYiCE IntelliOps](https://www.g2.com/products/dryice-intelliops/reviews)
  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1
  **Product Description:** Enterprises today have invested heavily in complex solutions for digital initiatives in modernizing their technology landscape while trying to support user expectations for continuously available digital services, but a few challenges impede their progress. The most pertinent is the siloed implementation of AI and automation point solutions, that are aimed at addressing a particular symptom rather than the underlying cause of an IT issue and no insights on business impact, leading to: • Fragmented customer experience and support • Multiple licensing for multiple products • Complex vendor management • High CAPEX and OPEX • No visibility on business impact DRYiCE IntelliOps is an integrated, full-stack AIOps and business flow observability solution offering that manages end-to-end agile hybrid IT operations for predictive and continuously available digital services aligned to core business objectives.


  #### What Are Recent G2 Reviews of DRYiCE IntelliOps?

**"[Great offering](https://www.g2.com/survey_responses/dryice-intelliops-review-7096628)"**

**Rating:** 5.0/5.0 stars
*— Saurav P.*

[Read full review](https://www.g2.com/survey_responses/dryice-intelliops-review-7096628)

---

### 14. [Evanios](https://www.g2.com/products/evanios/reviews)
  **Average Rating:** 4.0/5.0
  **Total Reviews:** 1
  **Product Description:** Evanios provides end-to-end visibility and actionable intelligence for dynamic IT environments. Utilizing preconfigured logic, machine learning algorithms, and ITSM contextual data, it automatically reduces alert noise, prioritizes events, identifies root cause and predicts outages before they occur.


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

**"[Evanios Monitoring system](https://www.g2.com/survey_responses/evanios-review-5100725)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Information Technology and Services*

[Read full review](https://www.g2.com/survey_responses/evanios-review-5100725)

---

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

- [What is Evanios used for?](https://www.g2.com/discussions/what-is-evanios-used-for)
### 15. [Eyer](https://www.g2.com/products/eyer/reviews)
  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1
  **Product Description:** Eyer is a headless, AI-powered observability and AIOps platform. Use agents like Telegraf, Prometheus and Open Telemetry to capture metrics and send to Eyer. Eyer&#39;s platform will automatically identify situations you need to act on before customers are impacted. Integrate actionable insights from Eyer into your dashboarding, ITSM or orchestration / run-book tool of choice.


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

**"[Impact on Eyer Connector](https://www.g2.com/survey_responses/eyer-review-9991336)"**

**Rating:** 5.0/5.0 stars
*— Mukunth K.*

[Read full review](https://www.g2.com/survey_responses/eyer-review-9991336)

---

### 16. [Lenses](https://www.g2.com/products/lenses/reviews)
  **Average Rating:** 4.2/5.0
  **Total Reviews:** 17
  **Product Description:** Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming across hybrid and multi-cloud environments, giving engineers the autonomy to explore, integrate, and govern data -- and modernize their applications with ease: - Efficiently find, explore, process, integrate and govern streams with a data catalog, SQL studio and SQL stream processors - Confidently share, migrate and back up data streams across any cloud or environment with the Kafka to Kafka replicator - Lenses K2K - Reduce the manual burden of Kafka operations with Lenses AI Agents. Product Website www.lenses.io



### What Do G2 Reviewers Say About Lenses?
*AI-generated summary from verified user reviews*

**Pros:**

- Users appreciate the **ease of use** of Lenses, valuing its straightforward approach to data querying and management.
- Users appreciate the **user-friendly interface** of Lenses, enhancing productivity and accessibility for all skill levels.
- Users value the **user-friendly interface** of Lenses, which simplifies visualizing and managing Kafka resources effectively.
- Users value the **intuitive design** of Lenses, enhancing accessibility and productivity for both experienced and novice users.
- Users value the **dependable data management** features of Lenses, enhancing their experience with streamlined SQL querying.

**Cons:**

- Users are concerned about **feature limitations** that may hinder flexibility and overlook necessary improvements for Lenses.
- Users express concerns about **vendor lock-in and limited features** , affecting flexibility and the need for better support.
- Users highlight the **limited access due to vendor lock-in** , affecting flexibility and future interoperability of Lenses.
- Users express concern over the **lack of essential features** in Lenses, stalling their overall progress and functionality.
- Users highlight **product maturity issues** due to unresolved bugs and lack of updates, affecting overall functionality and usability.
  #### What Are Recent G2 Reviews of Lenses?

**"[Using Lenses for years, pros and cons](https://www.g2.com/survey_responses/lenses-review-11974835)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Apparel &amp; Fashion*

[Read full review](https://www.g2.com/survey_responses/lenses-review-11974835)

---

**"[Reliable tool for managing and searching data streams](https://www.g2.com/survey_responses/lenses-review-11971548)"**

**Rating:** 4.5/5.0 stars
*— Jose Manuel C.*

[Read full review](https://www.g2.com/survey_responses/lenses-review-11971548)

---

### 17. [Loom Systems](https://www.g2.com/products/loom-systems/reviews)
  **Average Rating:** 4.8/5.0
  **Total Reviews:** 5
  **Product Description:** Loom Systems is a leading AIOps provider that helps organizations predict and prevent IT incidents before affecting their bottom line. Loom predicts problems, provides their root cause and crowd-sources expert knowledge to recommend resolutions in real time. Our platform mathematically models the analytical prowess of the human mind and infuses it with computational speed, accuracy and tirelessness. Our technology ingests every type of machine data, including unstructured data such as log files, learns its unique behavior over time, automatically detects anomalies and trends and recommends actions. Built for low-touch operational simplicity and usability, our solution empowers IT, DevOps, System Admins, NOC teams and Security specialists by transforming reactive users into proactive power-users. Our approach leads not only to lightning-fast identification and resolution of IT issues, but also to their prediction, allowing for preemptive measures to be taken. The four founders of Loom Systems share more than 50 combined years of experience generating actionable insights from Big Data. With deep technological and methodological background in elite technology intelligence units, as well as leadership positions at innovative companies in the private sector, they have spent their careers at the cutting edge of analytical process automation. After struggling daily with the tools currently in use in Big Data analysis, they&#39;ve teamed up to create the definitive technological solution to the problem. Out of this effort grew Loom Systems - an end-to-end platform that mathematically models human analytical skills, and combines it with machines&#39; calculation speed and diligence.


  #### What Are Recent G2 Reviews of Loom Systems?

**"[my opinion about loom systems](https://www.g2.com/survey_responses/loom-systems-review-1713785)"**

**Rating:** 5.0/5.0 stars
*— hans d.*

[Read full review](https://www.g2.com/survey_responses/loom-systems-review-1713785)

---

**"[Best AI base incident detection system.](https://www.g2.com/survey_responses/loom-systems-review-5373526)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Banking*

[Read full review](https://www.g2.com/survey_responses/loom-systems-review-5373526)

---

### 18. [OpsWorker AI SRE Production Intelligence](https://www.g2.com/products/opsworker-ai-sre-production-intelligence/reviews)
  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1
  **Product Description:** OpsWorker.ai Resolve production incidents and development issues with AI that understands your code, infrastructure, and telemetry — reducing MTTR by up to 80% and boosting engineering productivity by 50%. OpsWorker helps On-Call Engineers. Software Developers, SREs, and DevOps Engineers reduce MTTR, resolve complex development issues, and manage high-incident environments. Through intelligent incident correlation, code-aware troubleshooting, and deep integration into your technical ecosystem, OpsWorker delivers actionable insights and autonomous remediation — ensuring resilient, high-performance operations across Kubernetes and Cloud workloads.


  #### What Are Recent G2 Reviews of OpsWorker AI SRE Production Intelligence?

**"[It does the investigation legwork so your engineers can focus on the decisions that actually matter](https://www.g2.com/survey_responses/opsworker-ai-sre-production-intelligence-review-12477589)"**

**Rating:** 5.0/5.0 stars
*— Nune I.*

[Read full review](https://www.g2.com/survey_responses/opsworker-ai-sre-production-intelligence-review-12477589)

---

### 19. [Sedai](https://www.g2.com/products/sedai/reviews)
  **Average Rating:** 4.5/5.0
  **Total Reviews:** 4
  **Product Description:** Sedai goes beyond recommendations. Our platform takes action to autonomously manage and optimize your cloud resources, without manual intervention. It analyzes your production environment to find cost and reliability optimization opportunities in real time — learning from behavior patterns and adapting to new releases. Under the hood, Sedai uses deep reinforcement learning to predict the impact of potential optimizations, enabling the platform to take these actions safely. Sedai&#39;s unique approach makes it the only way way to manage and optimize the cloud at scale. Unlike conventional automation, Sedai doesn&#39;t follow fixed rules and scripts. Instead, it acts like an experienced SRE: incrementally adjusting the configuration of your resources until the exact point where performance or availability would be impacted. The result? Sedai has executed more than 25 million autonomous actions in production — with 0 incidents. Ready to save 30–50% on your cloud costs? Visit sedai.io to speak with our cloud optimization experts.


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

**"[Easily integrates various monitoring tools available in the environment!](https://www.g2.com/survey_responses/sedai-review-8493758)"**

**Rating:** 5.0/5.0 stars
*— Mindy J.*

[Read full review](https://www.g2.com/survey_responses/sedai-review-8493758)

---

**"[Save more with Sedai](https://www.g2.com/survey_responses/sedai-review-9878763)"**

**Rating:** 4.5/5.0 stars
*— dianelys H.*

[Read full review](https://www.g2.com/survey_responses/sedai-review-9878763)

---

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

- [What is Sedai used for?](https://www.g2.com/discussions/what-is-sedai-used-for)
### 20. [Splunk Cloud Platform](https://www.g2.com/products/splunk-cloud-platform/reviews)
  **Average Rating:** 4.3/5.0
  **Total Reviews:** 2
  **Product Description:** Search, analyze, visualize and act on your data with the flexible, secure and cost effective data platform service. Go live in as little as two days, and with your IT backend managed by Splunk experts you can focus on acting on your data. Search any kind of data in real-time to detect and prevent issues before they happen with access to the latest streaming and machine learning capabilities. Search any kind of data in real-time to detect and prevent issues before they happen with access to the latest streaming and machine learning capabilities.


  #### What Are Recent G2 Reviews of Splunk Cloud Platform?

**"[SaaS offering from Splunk](https://www.g2.com/survey_responses/splunk-cloud-platform-review-5332911)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Computer &amp; Network Security*

[Read full review](https://www.g2.com/survey_responses/splunk-cloud-platform-review-5332911)

---

**"[Platform as a Service provided which helps to set up quickly without any on-premise infrastructure](https://www.g2.com/survey_responses/splunk-cloud-platform-review-5088506)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Supermarkets*

[Read full review](https://www.g2.com/survey_responses/splunk-cloud-platform-review-5088506)

---

  #### What Are G2 Users Discussing About Splunk Cloud Platform?

- [What is Splunk Cloud Platform used for?](https://www.g2.com/discussions/what-is-splunk-cloud-platform-used-for)
### 21. [1Desk](https://www.g2.com/products/1desk/reviews)
  **Product Description:** 1Desk is the autonomic backbone for your business. Building on our 20-year history of AI innovation, 1Desk automates IT and business processes end-to-end by combining autonomic and cognitive technology into a unified platform.


### 22. [AIOps](https://www.g2.com/products/selector-aiops/reviews)
  **Product Description:** Selector&#39;s AIOps platform is an advanced solution designed to revolutionize IT operations by integrating artificial intelligence and machine learning. It automates anomaly detection, root cause analysis, and incident remediation, enabling IT teams to proactively manage and optimize their environments. By unifying observability and AIOps into a single, powerful platform, Selector empowers organizations to reduce downtime, minimize alert fatigue, and enhance overall operational efficiency.


### 23. [AIOps and Observability](https://www.g2.com/products/aiops-and-observability/reviews)
  **Product Description:** Our AIOps solution also offers full-stack observability into the digital experience (mobile, web, crash, journeys, funnel), app-to-network monitoring, and support for cloud-native architectures (lambda, open tracing) while aligning this and 3rd-party data to business services with measurable KPIs to help prioritize issues and relate performance to business goals as organizations seek to transform customer experience.


### 24. [Akmatori](https://www.g2.com/products/akmatori/reviews)
  **Product Description:** Akmatori is an AIOps platform, designed to handle alerts effortlessly and prevent on-call burnout. Automate incident response, reduce downtime, and simplify troubleshooting.


### 25. [Ativa™ Suite](https://www.g2.com/products/ativa-suite/reviews)
  **Average Rating:** 4.5/5.0
  **Total Reviews:** 2
  **Product Description:** Seize command of your network using Ativa™ for cutting-edge Automated Assurance &amp; Operations. Infovista&#39;s Ativa™ Suite consists of a collection of cloud-native modules designed to automate assurance across a range of network types, including fixed, mobile, legacy, and advanced cloud-based networks. These individual modules can be implemented separately or combined to connect user experience, service quality, and resource performance, ensuring comprehensive automated assurance accessible through a unified interface. Ativa™ enhances the effectiveness of your network and service management procedures by furnishing actionable intelligence across the full stack, encompassing digital experiences, applications, services, networks and infrastructure. Key features and benefits: - Fully cloud-native assurance suite for next-generation cloudified networks, powered by Infovista’s unparalleled Cloud Platform. - Open and flexible, providing industry- standard Open APIs and SDKs to integrate with external ecosystems and address future operational needs. - 360° horizontal and vertical assurance, correlating across domains your user experience and service performance to the underlying network and infrastructure. - Unmatched visibility thanks to multi-source data correlation, analytics and automation, breaking down siloes and delivering operational and business insights - Streamline operations and reduce OPEX through AI/ML and automation, deliver faster MTTx, enhance customer experience, and gain efficiency across the board. Trusted by over 1,000 customers worldwide, including 400 Mobile Network Operators, Infovista is a trusted partner to achieve unparalleled performance on your 5G and advanced networks journey.



### What Do G2 Reviewers Say About Ativa™ Suite?
*AI-generated summary from verified user reviews*

**Pros:**

- Users find the **ease of raw data conversion** in Ativa™ Suite highly beneficial for analyzing results efficiently.

  #### What Are Recent G2 Reviews of Ativa™ Suite?

**"[Network Performance Management review](https://www.g2.com/survey_responses/ativa-suite-review-4407412)"**

**Rating:** 4.5/5.0 stars
*— Adnan A.*

[Read full review](https://www.g2.com/survey_responses/ativa-suite-review-4407412)

---

**"[The Goto solution for Networking analytics](https://www.g2.com/survey_responses/ativa-suite-review-7918136)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Information Technology and Services*

[Read full review](https://www.g2.com/survey_responses/ativa-suite-review-7918136)

---

  #### What Are G2 Users Discussing About Ativa™ Suite?

- [What is Network Performance Management used for?](https://www.g2.com/discussions/what-is-network-performance-management-used-for)

    ## 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.&amp;nbsp;

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&#39;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))&amp;nbsp;

**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&#39;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&#39;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&#39;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.[&amp;nbsp;](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



