# Best AIOps Tools with AIOps + Application Performance Monitoring Capabilities

## How Many AIOps Tools Products Does G2 Track?

**Total Products under this Category:** 122

### Category Stats (Jul 2026)

- **Average Rating:** 4.5/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** ScienceLogic AI Platform (+3.53%) - Among all products in this category, ScienceLogic AI Platform recorded the largest rating increase compared to last month

_Last updated: July 29, 2026_

## How Does G2 Rank AIOps Tools Products?

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

- 30 Analysts and Data Experts
- 12,600+ Authentic Reviews
- 122+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for AIOps Tools
 ![G2 Grid® for AIOps Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/aiops-platforms/grids.png?focus%5B%5D=115948&focus%5B%5D=17351&focus%5B%5D=16222&focus%5B%5D=27540&focus%5B%5D=2056&focus%5B%5D=3824&focus%5B%5D=1211333&focus%5B%5D=39741)

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

Underlying data: [Grid® JSON](https://www.g2.com/categories/aiops-platforms/grids.json?focus%5B%5D=servicenow-it-operations-management&focus%5B%5D=opmanager-nexus&focus%5B%5D=atera&focus%5B%5D=ibm-instana&focus%5B%5D=dynatrace&focus%5B%5D=datadog&focus%5B%5D=rakuten-sixthsense-observability&focus%5B%5D=sciencelogic-ai-platform)

**Sponsored**

### 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%5Bchosen_at%5D=2026-07-31T11%3A22%3A25Z&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%2Ff%2Faiops-application-performance-monitoring&secure%5Btoken%5D=8e10cd47481f7f4fc46c5e2b5cad9f01e27af6ad630ffcadd3ae0f8f2bacc631&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)

### [IBM Instana](https://www.g2.com/products/ibm-instana/reviews)

IBM Instana, now part of the Concert platform, discovers and maps all services, infrastructure, and their inter-dependencies automatically. Instana ingests all observability metrics, traces each request, profiles every process, and updates application dependency maps in real-time to deliver the context and actionable feedback needed by DevOps to optimize application performance, enable innovation and mitigate risk to help them add value and efficiency to the pipeline. IBM Instana is available on AWS Marketplace.

**Average Rating:** 4.4/5.0

**Total Reviews:** 469

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

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

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

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** www.ibm.com
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, System Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 41% Medium, 36% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find IBM Instana's **ease of use** remarkable, simplifying complex application monitoring and providing excellent support.
- Users value the **effortless monitoring** with IBM Instana, relishing real-time visibility and automatic service mapping.
- Users appreciate the **real-time monitoring** capabilities of IBM Instana, making root cause analysis effortless and efficient.
- Users appreciate the **effortless monitoring capabilities** of IBM Instana, enhancing visibility and simplifying application management.
- Users find the **easy setup** of IBM Instana allows effortless monitoring and quick real-time insights without manual configurations.

##### Cons

- Users find the pricing of IBM Instana to be **expensive** , especially as their infrastructure scales.
- Users encounter **busy UI issues** that complicate data analysis and require time to acclimate fully.
- Users find the **learning curve steep** , making setup and customization more challenging than with other monitoring tools.
- Users find the **difficult learning curve** of IBM Instana challenging, especially for new users navigating the interface.
- Users note the **expensive pricing** of IBM Instana, especially as infrastructure scales, which can be a concern.

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

**["Powerful Analytics and Automation Drive Exceptional Performance"](https://www.g2.com/survey_responses/ibm-instana-review-12064579)**

**Rating:** 4.5/5.0 stars

_— Konjengbam M._

[Read full review](https://www.g2.com/survey_responses/ibm-instana-review-12064579)

**["Comprehensive Monitoring, Steep Learning Curve"](https://www.g2.com/survey_responses/ibm-instana-review-13089173)**

**Rating:** 4.5/5.0 stars

_— Aleksander M._

[Read full review](https://www.g2.com/survey_responses/ibm-instana-review-13089173)

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

- [What is Application Performance Monitoring (APM)?](https://www.g2.com/discussions/what-is-application-performance-monitoring-apm) - 2 comments
- [What is Instana?](https://www.g2.com/discussions/instana-what-is-instana)
- [What is Instana?](https://www.g2.com/discussions/what-is-instana) - 2 comments

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

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

**Average Rating:** 4.5/5.0

**Total Reviews:** 1,234

#### How Do G2 Users Rate Dynatrace?

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

#### Who Is the Company Behind Dynatrace?

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

#### Who Uses This Product?

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

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

_AI-generated summary from verified user reviews_

##### Pros

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

##### Cons

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

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

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

**Rating:** 4.0/5.0 stars

_— Vishnu Vardhan N._

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

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

**Rating:** 4.5/5.0 stars

_— Sabina K._

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

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

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

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

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

**Average Rating:** 4.4/5.0

**Total Reviews:** 715

#### How Do G2 Users Rate Datadog?

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

#### Who Is the Company Behind Datadog?

- **Seller:** [Datadog](https://www.g2.com/sellers/datadog)
- **Company Website:** www.datadoghq.com
- **Year Founded:** 2010
- **HQ Location:** New York
- **Twitter:** @datadoghq  
51,207 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1b0942496e12618acadaab3a1601417c9f0d1941be094e2cefb0d89c606e73b5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1066442%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,386 employees on LinkedIn®

#### Who Uses This Product?

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

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

_AI-generated summary from verified user reviews_

##### Pros

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

##### Cons

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

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

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

**Rating:** 4.5/5.0 stars

_— Bertrand P._

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

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

**Rating:** 4.5/5.0 stars

_— Anshul S._

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

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

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

### [Elastic Observability](https://www.g2.com/products/elastic-observability/reviews)

OpenTelemetry-native observability for fast, AI-driven root cause analysis Search, analyze, and act with logs, metrics, and traces. SRE leaders aim to proactively prevent downtime, simplify tool stacks, and reduce toil, but multi-cloud complexity and fragmented toolsets create visibility gaps that make it hard to stay ahead. OTel-native and AI-powered, Elastic Observability ingests and correlates petabytes of telemetry across your applications, services, and infrastructure, in real-time. Accelerate troubleshooting with built-in agentic workflows and an AI Assistant that goes well beyond chat to bolster team expertise and guide investigations, grounded with context from your organizational knowledge-bases. More data, more problems? Not anymore. Most observability and logging solutions weren’t built for today’s scale. Elastic is. Our architecture is designed to handle petabytes of logs with indexing, compression, and efficient searchable storage so you can keep all the telemetry you need, without breaking the bank. Store more, spend less, and resolve issues faster with a scalable, open, and extensible platform that unifies visibility across your entire environment.

**Average Rating:** 4.2/5.0

**Total Reviews:** 89

#### How Do G2 Users Rate Elastic Observability?

- **Systems Monitoring:** 9.0/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 7.2/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 7.7/10 (Category avg: 9.1/10)
- **Reporting:** 7.8/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Elastic Observability?

- **Seller:** [Elastic](https://www.g2.com/sellers/elastic)
- **Company Website:** www.elastic.co
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @elastic  
65,200 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc8e533876f16af617380aaa3922cb6a39a1d6233f0b32a0fa987a5fdffd799e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F814025%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,079 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 52% Large, 48% Medium

#### What Do G2 Reviewers Say About Elastic Observability?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive user interface** of Elastic Observability, making it easy to navigate and set up.
- Users value the **real-time alerting capabilities** of Elastic Observability, enhancing proactive monitoring and system insights.
- Users appreciate the **excellent log collection** capabilities of Elastic Observability, streamlining their monitoring and analysis tasks.
- Users appreciate the **excellent monitoring capabilities** of Elastic Observability, simplifying their data collection and analysis processes.
- Users value the **easy integration and flexibility** of Elastic Observability, enhancing troubleshooting and operational visibility.

##### Cons

- Users find the **learning curve steep** , requiring significant training and knowledge to effectively utilize Elastic Observability.
- Users find the **difficult learning** curve challenging, particularly for teams unfamiliar with Elastic Stack and ELK.
- Users find it frustrating that there is **limited integration and alerting for log management** , which complicates log visibility.
- Users find the **learning difficulty** daunting, especially when navigating extensive logs and advanced features for the first time.
- Users struggle with **log management issues** , facing challenges with alerting, APM integration, and lack of centralized log viewing.

#### What Are Recent G2 Reviews of Elastic Observability?

**["Insightful, But Needs Improved Customization"](https://www.g2.com/survey_responses/elastic-observability-review-12668298)**

**Rating:** 4.0/5.0 stars

_— Sam ._

[Read full review](https://www.g2.com/survey_responses/elastic-observability-review-12668298)

**["APM is a Game-Changer for GKE Infrastructure"](https://www.g2.com/survey_responses/elastic-observability-review-12628710)**

**Rating:** 5.0/5.0 stars

_— Ever M._

[Read full review](https://www.g2.com/survey_responses/elastic-observability-review-12628710)

#### What Are G2 Users Discussing About Elastic Observability?

- [Can I use Elasticsearch as a database?](https://www.g2.com/discussions/can-i-use-elasticsearch-as-a-database)
- [Can I use Elasticsearch for free?](https://www.g2.com/discussions/can-i-use-elasticsearch-for-free) - 1 comment
- [What is elastic search?](https://www.g2.com/discussions/what-is-elastic-search)
- [What is elastic search used for?](https://www.g2.com/discussions/what-is-elastic-search-used-for)

### [New Relic](https://www.g2.com/products/new-relic/reviews)

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

**Average Rating:** 4.4/5.0

**Total Reviews:** 571

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

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

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

- **Seller:** [New Relic](https://www.g2.com/sellers/new-relic)
- **Company Website:** newrelic.com
- **Year Founded:** 2008
- **HQ Location:** San Francisco, CA
- **Twitter:** @newrelic  
65,727 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a9eddd984f33572c5efbac2b43c77a680b5f6fb4b0c874a8dc1b10aa32b60f58&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F426253%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,053 employees on LinkedIn®

#### Who Uses This Product?

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

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

_AI-generated summary from verified user reviews_

##### Pros

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

##### Cons

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

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

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

**Rating:** 5.0/5.0 stars

_— bhavik m._

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

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

**Rating:** 4.5/5.0 stars

_— Ravindra N._

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

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

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

### [OpsRamp](https://www.g2.com/products/opsramp/reviews)

OpsRamp’s modern, SaaS-based platform provides enterprise IT teams and managed service providers comprehensive IT operations management (ITOM) from discovery to monitoring to remediation and automation in a single, unified solution.

**Average Rating:** 4.1/5.0

**Total Reviews:** 22

#### How Do G2 Users Rate OpsRamp?

- **Systems Monitoring:** 5.8/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 4.2/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 7.7/10 (Category avg: 9.1/10)
- **Reporting:** 5.6/10 (Category avg: 8.8/10)

#### Who Is the Company Behind OpsRamp?

- **Seller:** [OpsRamp](https://www.g2.com/sellers/opsramp)
- **Year Founded:** 2014
- **HQ Location:** San Jose, CA
- **Twitter:** @OpsRamp  
1,451 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9b52598de7f698d58175c206dddb937f11f31035c21d7a94837f062b05cda6dd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fopsramp%2F&secure%5Burl_type%5D=linkedin_company_website)  
156 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 54% Large, 29% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **outstanding customer support** of OpsRamp, ensuring their queries are promptly addressed.
- Users praise the **outstanding customer support** offered by OpsRamp, ensuring assistance with any tool-related queries.
- Users value the **customizability** of OpsRamp, allowing tailored integration with various ITOM and ITSM tools seamlessly.
- Users value the **user-friendly dashboard** of OpsRamp, enhancing ease of discovery and monitoring for infrastructure.
- Users appreciate the **user-friendly interface** of OpsRamp, enabling easy discovery and monitoring without difficulty.

##### Cons

- Users find OpsRamp **expensive** , especially for smaller organizations when compared to alternative solutions.
- Users feel the **high licensing cost** of OpsRamp is particularly burdensome for smaller organizations compared to alternatives.
- Users find that the **pricing may be high for smaller organizations** , especially when compared to other alternatives.
- Users experience **slow performance** in dashboards when retrieving data, especially in larger environments.

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

**["OpsRamp - Modernize Your IT Operations"](https://www.g2.com/survey_responses/opsramp-review-10657405)**

**Rating:** 5.0/5.0 stars

_— B Venkata Sai Ram P._

[Read full review](https://www.g2.com/survey_responses/opsramp-review-10657405)

**["Unified Observability and Automation That Streamlines IT Operations"](https://www.g2.com/survey_responses/opsramp-review-12985367)**

**Rating:** 4.5/5.0 stars

_— Ambuj P._

[Read full review](https://www.g2.com/survey_responses/opsramp-review-12985367)

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

- [What is OpsRamp used for?](https://www.g2.com/discussions/what-is-opsramp-used-for)

### [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews)

Find out what is happening in your business and take meaningful action quickly with Splunk Enterprise. Automate the collection, indexing and alerting of machine data that's critical to your operations. Uncover the actionable insights from all your data — no matter the source or format. Leverage artificial intelligence and machine learning for predictive and proactive business decisions.

**Average Rating:** 4.3/5.0

**Total Reviews:** 415

#### How Do G2 Users Rate Splunk Enterprise?

- **Systems Monitoring:** 7.9/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 7.0/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10)
- **Reporting:** 7.9/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Splunk Enterprise?

- **Seller:** [Cisco](https://www.g2.com/sellers/cisco)
- **Year Founded:** 1984
- **HQ Location:** San Jose, CA
- **Twitter:** @Cisco  
720,366 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=476aeabc5a712d049453edd5c54ea0318890d9e60d93782e37fe028224df1cbd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcisco%2F&secure%5Burl_type%5D=linkedin_company_website)  
95,545 employees on LinkedIn®
- **Ownership:** NASDAQ:CSCO

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 64% Large, 27% Medium

#### What Do G2 Reviewers Say About Splunk Enterprise?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **innovation** of Splunk Enterprise, appreciating its user-friendly features and powerful analytics capabilities.
- Users value the **customization features** of Splunk Enterprise, enabling tailored insights and dynamic dashboards for effective monitoring.
- Users commend the **ease of use** of Splunk Enterprise, enhancing effective monitoring and quick issue resolution.
- Users value the **efficient log management** capabilities of Splunk Enterprise for accurate analysis and insights.
- Users value the **powerful reporting features** of Splunk Enterprise, enhancing data analysis and visualization capabilities significantly.

##### Cons

- Users find Splunk Enterprise to be **expensive** , especially as data volumes grow, impacting smaller teams' operations.
- Users face a **steep learning curve** with Splunk Enterprise, which can hinder quick mastery of its features.
- Users highlight the **expensive licensing** of Splunk Enterprise, making it difficult for some companies to adopt.
- Users face **integration issues** with Splunk Enterprise, requiring better add-ons and simpler architecture for easier deployment.
- Users feel that Splunk Enterprise has **missing features** , lacking important add-ons and more flexible data onboarding options.

#### What Are Recent G2 Reviews of Splunk Enterprise?

**["SPL search and dashboards are really useful"](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655)**

**Rating:** 4.0/5.0 stars

_— Nishith J._

[Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655)

**["Excellent Enterprise Observability and Log Management Solution for Hybrid Cloud Infrastructure"](https://www.g2.com/survey_responses/splunk-enterprise-review-12045230)**

**Rating:** 4.5/5.0 stars

_— RaviShankar S._

[Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-12045230)

#### What Are G2 Users Discussing About Splunk Enterprise?

- [What is Splunk Enterprise used for?](https://www.g2.com/discussions/what-is-splunk-enterprise-used-for) - 1 comment
- [What is the difference between Splunk Enterprise and Splunk Enterprise Security?](https://www.g2.com/discussions/splunk-enterprise-what-is-the-difference-between-splunk-enterprise-and-splunk-enterprise-security) - 1 comment
- [What are Splunk Enterprise components?](https://www.g2.com/discussions/what-are-splunk-enterprise-components) - 1 comment
- [Which apps ship with Splunk Enterprise?](https://www.g2.com/discussions/which-apps-ship-with-splunk-enterprise) - 1 comment
- [What does Splunk Enterprise do?](https://www.g2.com/discussions/what-does-splunk-enterprise-do) - 1 comment

### [meshIQ](https://www.g2.com/products/meshiq/reviews)

meshIQ is the enterprise evolution platform purpose-built to transform how organizations manage and optimize their middleware—the digital nervous system of the enterprise. It provides unified visibility, control, and modernization of messaging, event streaming, and B2B transactional flows across all middleware vendors, all environments, and at enterprise scale. Acting as a real-time intelligence layer across your entire ecosystem, meshIQ connects, monitors, and analyzes every message, event, and business transaction with forensic-level insight, so you can run incredibly lean operations with confidence and control. By eliminating the expense, complexity, and manual nature of managing multiple middleware platforms, meshIQ helps enterprises dramatically cut OPEX, resolve incidents and disputes up to 70% faster, reduce manual reconciliation efforts, and accelerate service delivery. The platform also provides a safe, fast, and reliable path to modernize middleware and migrate to modern architectures such as Apache Kafka®, ActiveMQ®, and cloud-native environments—without disruption. And with built-in B2B Flow Intelligence, organizations can assure every business transaction to safeguard revenue, meet regulatory requirements, and protect customer trust and experiences.

**Average Rating:** 4.6/5.0

**Total Reviews:** 99

#### How Do G2 Users Rate meshIQ?

- **Systems Monitoring:** 9.4/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 9.4/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Reporting:** 9.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind meshIQ?

- **Seller:** [meshIQ](https://www.g2.com/sellers/meshiq)
- **Company Website:** www.meshiq.com
- **Year Founded:** 1994
- **HQ Location:** Plainview, NY
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6ae12737b76d06acefae1190bf0238ab1bc7076e40569f64e10b7e757474e81a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fnastel-technologies%2F&secure%5Burl_type%5D=linkedin_company_website)  
62 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Banking, Information Technology and Services
- **Company Size:** 43% Large, 36% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users commend the **ease of use** of meshIQ, appreciating its intuitive design and unified view across platforms.
- Users value the **real-time monitoring** of meshIQ, facilitating quick issue detection and enhancing operational efficiency.
- Users appreciate the **intuitive user interface** of meshIQ, enabling quick insights for both technical and management teams.
- Users appreciate the **deep visibility** into middleware environments, making monitoring and troubleshooting significantly easier.
- Users appreciate the **deep visibility into middleware environments** provided by meshIQ, simplifying monitoring and troubleshooting significantly.

##### Cons

- Users find the **difficult learning** curve of meshIQ overwhelming, especially for advanced configurations and heavy datasets.
- Users find the **learning curve steep** for MeshIQ, as the powerful features can be overwhelming initially.
- Users find the **complexity of initial setup** and dense configurations challenging, hindering effective use of meshIQ.
- Users find the **difficult configuration** of meshIQ time-consuming and challenging, especially for those unfamiliar with the system.
- Users find the **learning difficulty** of meshIQ challenging, particularly during initial setup and advanced feature usage.

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

**["Nastel xRay with powerful ML"](https://www.g2.com/survey_responses/meshiq-review-6834033)**

**Rating:** 5.0/5.0 stars

_— Aniket T._

[Read full review](https://www.g2.com/survey_responses/meshiq-review-6834033)

**["Robust Message Tracking, Needs Better Observability"](https://www.g2.com/survey_responses/meshiq-review-11712309)**

**Rating:** 4.0/5.0 stars

_— kamalakar r._

[Read full review](https://www.g2.com/survey_responses/meshiq-review-11712309)

### [Coralogix](https://www.g2.com/products/coralogix/reviews)

Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events, enhancing operational efficiency and reducing total cost of ownership by up to 70%. Coralogix stands out for its simple pricing model, based solely on data volume ingested and retained, and offers free, fast customer support with less than 30 second response time and 1 hour resolution time. Our platform covers the entire range of observability with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all streamlined for quick integration and immediate value. Components within the stream store the system state to provide stateful insights and real-time alerting without ever needing to index the data — so there are never any trade-offs to achieve observability. Once ingested, parsed, and enriched, data is written remotely to an archive bucket controlled by the client. The archive can be queried directly at any time, from the platform UI or via CLI, giving users infinite retention with full control over, and access to, their data. View and query your data from any dashboard using any syntax. Coralogix has successfully completed relevant security and privacy compliances by BDO including GDPR, SOC 2, PCI, HIPAA, and ISO 27001/27701.

**Average Rating:** 4.6/5.0

**Total Reviews:** 339

#### How Do G2 Users Rate Coralogix?

- **Systems Monitoring:** 8.7/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 6.7/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10)
- **Reporting:** 8.8/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Coralogix?

- **Seller:** [Coralogix](https://www.g2.com/sellers/coralogix)
- **Company Website:** www.coralogix.com
- **Year Founded:** 2014
- **HQ Location:** San Francisco, CA
- **Twitter:** @Coralogix  
4,102 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ef56bf9e77f90e052266a03df08c90be65b7100d379c98d7e03372c2daaa8254&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3763125%2F&secure%5Burl_type%5D=linkedin_company_website)  
588 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, DevOps Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 53% Medium, 34% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** in setting up Coralogix, benefiting from seamless integrations and efficient monitoring.
- Users value the **integrated log management** of Coralogix, enhancing speed and accuracy in root-cause analysis.
- Users praise the **responsive customer support** of Coralogix, ensuring quick resolutions and enhanced user experience.
- Users value the **real-time monitoring** capabilities of Coralogix, enhancing user experience and incident response efficiency.
- Users appreciate the **user-friendly interface** of Coralogix, making it easy to search and export logs efficiently.

##### Cons

- Users find the **learning curve steep** , making it challenging for beginners to navigate and master metrics collection.
- Users find the **missing feature for exporting searched strings** limits their ability to efficiently manage logs.
- Users experience **slow performance** with Coralogix, leading to frustrating delays in loading and retrieving logs.
- Users find **learning difficulty** with Coralogix, especially concerning advanced features and navigating the overwhelming UI.
- Users note the **difficult learning curve** in navigating Coralogix’s complex setup and technical syntax initially.

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

**["Coralogix Game Changer Logging Tool"](https://www.g2.com/survey_responses/coralogix-review-11633887)**

**Rating:** 4.5/5.0 stars

_— Shakti V._

[Read full review](https://www.g2.com/survey_responses/coralogix-review-11633887)

**["Reliable Log Monitoring with Room for Improvement"](https://www.g2.com/survey_responses/coralogix-review-12091026)**

**Rating:** 4.5/5.0 stars

_— Aayush M._

[Read full review](https://www.g2.com/survey_responses/coralogix-review-12091026)

### [Splunk AppDynamics](https://www.g2.com/products/splunk-appdynamics/reviews)

Powered by Cisco, AppDynamics is on a mission to help companies see their technology through the lens of the business so they can work as one to prioritize what matters most. We’re reinventing the observability space and simplifying the challenge of digital transformation for the world’s largest enterprises. In this era of unprecedented digital growth, the AppDynamics Business Observability Platform transforms organizations faster by providing business context deep into the technology stack, aligning teams around shared priorities, and enabling technologists to act with confidence and control. AppDynamics has been recognized by Gartner as a leader in the APM market for more than eight years and was positioned highest in ‘ability to execute’ in Gartner’s 2021 Magic Quadrant Report for APM.

**Average Rating:** 4.3/5.0

**Total Reviews:** 336

#### How Do G2 Users Rate Splunk AppDynamics?

- **Systems Monitoring:** 9.2/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 8.3/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10)
- **Reporting:** 9.4/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Splunk AppDynamics?

- **Seller:** [Cisco](https://www.g2.com/sellers/cisco)
- **Year Founded:** 1984
- **HQ Location:** San Jose, CA
- **Twitter:** @Cisco  
720,366 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=476aeabc5a712d049453edd5c54ea0318890d9e60d93782e37fe028224df1cbd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcisco%2F&secure%5Burl_type%5D=linkedin_company_website)  
95,545 employees on LinkedIn®
- **Ownership:** NASDAQ:CSCO

#### Who Uses This Product?

- **Who Uses This:** Senior Software Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 58% Large, 35% Medium

#### What Do G2 Reviewers Say About Splunk AppDynamics?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **easy integration** of AppDynamics with ITSM tools, enhancing their monitoring and operational efficiency.
- Users appreciate the **easy integration with ITSM tools** , enhancing their ability to monitor enterprise applications efficiently.
- Users find **ease of integration** with tools like ServiceNow enhances their experience with AppDynamics significantly.
- Users value the **easy integrations** with tools like Servicenow, enhancing connectivity and efficiency for application monitoring.
- Users value the **easy integration** with ITSM tools like ServiceNow for enhanced application performance monitoring.

##### Cons

- Users express concerns over **billing issues** , including high renewal costs and slow support timelines post-Cisco acquisition.
- Users express concern over **expensive renewal costs** and delayed support timelines post-Cisco acquisition impacting overall value.
- Users experience delays due to a **inefficient alert system** following Cisco's acquisition, impacting overall response times.
- Users express frustration with **poor customer support** , citing slow response times and unresolved product issues post-acquisition.
- Users express concerns about **high renewal costs** and extended timelines for product enhancements post-Cisco acquisition.

#### What Are Recent G2 Reviews of Splunk AppDynamics?

**["Best-in-Class Application Performance Monitoring with Splunk AppDynamics"](https://www.g2.com/survey_responses/splunk-appdynamics-review-13182989)**

**Rating:** 4.5/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/splunk-appdynamics-review-13182989)

**["AppDynamics - A powerful analytics tool for business transactions and monitoring"](https://www.g2.com/survey_responses/splunk-appdynamics-review-9780843)**

**Rating:** 4.5/5.0 stars

_— Brajesh S._

[Read full review](https://www.g2.com/survey_responses/splunk-appdynamics-review-9780843)

#### What Are G2 Users Discussing About Splunk AppDynamics?

- [What is AppDynamics used for?](https://www.g2.com/discussions/what-is-appdynamics-used-for) - 1 comment

### [Moogsoft](https://www.g2.com/products/moogsoft/reviews)

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.

**Average Rating:** 4.5/5.0

**Total Reviews:** 34

#### How Do G2 Users Rate Moogsoft?

- **Systems Monitoring:** 8.8/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 9.1/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10)
- **Reporting:** 8.6/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Moogsoft?

- **Seller:** [Moogsoft](https://www.g2.com/sellers/moogsoft)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, California
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Analyst
- **Top Industries:** Information Technology and Services
- **Company Size:** 82% Large, 18% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **effective alert processing** and great dashboard features of Moogsoft, enhancing their monitoring experience.
- Users value the **effective alert processing** in Moogsoft, complemented by an impressive dashboard for better management.
- Users highlight the **awesome dashboard usability** of Moogsoft, enhancing their experience in managing alerts efficiently.
- Users commend Moogsoft for its **excellent data visualization** , enhancing alert processing with an impressive dashboard.
- Users value the **visibility** provided by Moogsoft’s dashboards, enhancing alert processing and overall monitoring efficiency.

##### Cons

- Users face **stability issues** with Moogsoft, especially during high load, resulting in downtime and disruptions.
- Users often face **performance issues** with Moogsoft, particularly during high load, leading to system downtimes.
- Users are frustrated by the **slow loading** issues in Moogsoft, especially during peak usage times.
- Users report **slow performance** in Moogsoft during high load, leading to frequent downtime 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)
- [What is Moogsoft software?](https://www.g2.com/discussions/what-is-moogsoft-software)

### [LogicMonitor](https://www.g2.com/products/logicmonitor/reviews)

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.

**Average Rating:** 4.5/5.0

**Total Reviews:** 587

#### How Do G2 Users Rate LogicMonitor?

- **Systems Monitoring:** 8.7/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 7.6/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10)
- **Reporting:** 8.4/10 (Category avg: 8.8/10)

#### Who Is the Company Behind LogicMonitor?

- **Seller:** [LogicMonitor](https://www.g2.com/sellers/logicmonitor)
- **Company Website:** www.logicmonitor.com
- **Year Founded:** 2007
- **HQ Location:** Santa Barbara, CA
- **Twitter:** @logicmonitor  
12,430 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0575241055ce06002a2f1fd1e29a1c2520416578fcf099eef91facac629c652e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1165219%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,226 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Infrastructure Manager, IT Manager
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 52% Medium, 30% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in LogicMonitor, praising its intuitive navigation and user-friendly interface.
- Users value the **ease of implementation** with LogicMonitor, praising its fast deployment and intuitive management.
- Users commend the **extensive monitoring capabilities** of LogicMonitor, covering various technologies in diverse environments.
- Users value **comprehensive monitoring** by LogicMonitor, offering deep visibility across applications, cloud, and hybrid infrastructures.
- Users value the **excellent customer support** offered by LogicMonitor, enhancing their ability to manage environments efficiently.

##### Cons

- Users find the **learning curve steep** , needing advanced skills for effective use of LogicMonitor's features.
- Users note the **limited features** of LogicMonitor, leading to potential workarounds and a steep learning curve.
- Users find LogicMonitor **expensive** , especially for small teams, with complex integrations and a lack of free tier options.
- Users express concern over **inadequate monitoring** capabilities, making it challenging to manage traditional server workloads effectively.
- Users find the **configuration complexity** challenging, requiring significant effort and skills for effective utilization of LogicMonitor.

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

**["Predictive Forecasting Controls Are a Math Nerd’s Dream"](https://www.g2.com/survey_responses/logicmonitor-review-12957464)**

**Rating:** 4.5/5.0 stars

_— Nidhi S._

[Read full review](https://www.g2.com/survey_responses/logicmonitor-review-12957464)

**["LogicMonitor has cut our MTTR 42% and provided tight ROI."](https://www.g2.com/survey_responses/logicmonitor-review-12956089)**

**Rating:** 4.5/5.0 stars

_— Tiya P._

[Read full review](https://www.g2.com/survey_responses/logicmonitor-review-12956089)

#### 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)
- [What does logic monitor do?](https://www.g2.com/discussions/what-does-logic-monitor-do) - 1 comment
- [How much does LogicMonitor cost?](https://www.g2.com/discussions/how-much-does-logicmonitor-cost)

### [Splunk APM](https://www.g2.com/products/splunk-apm/reviews)

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.

**Average Rating:** 4.4/5.0

**Total Reviews:** 17

#### How Do G2 Users Rate Splunk APM?

- **Systems Monitoring:** 9.2/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 6.7/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10)
- **Reporting:** 8.3/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Splunk APM?

- **Seller:** [Cisco](https://www.g2.com/sellers/cisco)
- **Year Founded:** 1984
- **HQ Location:** San Jose, CA
- **Twitter:** @Cisco  
720,366 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=476aeabc5a712d049453edd5c54ea0318890d9e60d93782e37fe028224df1cbd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcisco%2F&secure%5Burl_type%5D=linkedin_company_website)  
95,545 employees on LinkedIn®
- **Ownership:** NASDAQ:CSCO

#### Who Uses This Product?

- **Top Industries:** Financial Services, Information Technology and Services
- **Company Size:** 70% Large, 20% Medium

#### 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, which enhances product quality and boosts customer satisfaction.
- Users value the **high-quality data** from Splunk APM, which significantly improves product quality and customer satisfaction.
- Users value the **high-quality data** from Splunk APM, which helps catch small issues and enhance customer satisfaction.
- Users appreciate the **high quality data** from Splunk APM, enhancing product quality and customer satisfaction.
- Users love the **high-quality error tracking** of Splunk APM, enhancing product quality and customer satisfaction.

##### Cons

- Users find the **inadequate reporting** capabilities of Splunk APM frustrating, as pulling specific logs is often challenging.
- Users find **inefficient log management** frustrating, wishing for an easier process to pull specific logs and reports.
- Users find it **difficult to pull specific logs** , wishing for an easier process in data reporting with Splunk APM.
- Users find it challenging to manage **log management issues** , wishing for an easier way to pull specific data reports.
- Users find **poor reporting** capabilities frustrating, wishing for simpler access to specific logs and data reports.

#### What Are Recent G2 Reviews of Splunk APM?

**["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)

**["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)

#### 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)
- [What is APM in Splunk?](https://www.g2.com/discussions/what-is-apm-in-splunk)

### [OpenText Operations Bridge (OpsBridge)](https://www.g2.com/products/opentext-operations-bridge-opsbridge/reviews)

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

**Average Rating:** 4.0/5.0

**Total Reviews:** 16

#### How Do G2 Users Rate OpenText Operations Bridge (OpsBridge)?

- **Systems Monitoring:** 10.0/10 (Category avg: 9.0/10)
- **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 9.1/10)
- **Reporting:** 10.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind OpenText Operations Bridge (OpsBridge)?

- **Seller:** [OpenText](https://www.g2.com/sellers/opentext)
- **Year Founded:** 1991
- **HQ Location:** Waterloo, ON
- **Twitter:** @OpenText  
21,565 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6c339a6555764b5ffce77c3df08d6ed9c9b1cb1ee1baeebac8435f0485b7cca5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2709%2F&secure%5Burl_type%5D=linkedin_company_website)  
23,048 employees on LinkedIn®
- **Ownership:** NASDAQ:OTEX

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Retail
- **Company Size:** 106% Large, 3% Medium

#### What Do G2 Reviewers Say About OpenText Operations Bridge (OpsBridge)?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **powerful infrastructure monitoring** capabilities of OpenText OpsBridge, enhancing their operational efficiency.
- Users commend the **powerful infrastructure monitoring** capabilities of OpenText OpsBridge, enhancing their operational efficiency.
- Users appreciate the **monitoring ease** of OpenText OpsBridge, making infrastructure management straightforward and efficient.
- Users appreciate the **powerful infrastructure monitoring** capabilities of OpenText OpsBridge, enhancing their operational efficiency significantly.

##### Cons

- Users report significant **delay issues** with support, as tickets often remain unresolved for extended periods.
- Users experience significant **delays** with the support team, with unresolved tickets and unnecessary requests prolonging issues.
- Users face challenges with the **logging issues** as the support team often asks for irrelevant logs, delaying resolutions.
- Users are frustrated with the **poor support team** , as many tickets remain unresolved for extended periods.
- Users express frustration over **poor customer support** , as unresolved tickets lead to wasted time and ineffective assistance.

#### 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)

### [Netreo](https://www.g2.com/products/netreo/reviews)

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.

**Average Rating:** 4.5/5.0

**Total Reviews:** 54

#### How Do G2 Users Rate Netreo?

- **Systems Monitoring:** 9.4/10 (Category avg: 9.0/10)
- **Artificial Intelligence:** 9.2/10 (Category avg: 8.6/10)
- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10)
- **Reporting:** 9.2/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Netreo?

- **Seller:** [BMC Helix](https://www.g2.com/sellers/bmc-helix)
- **Year Founded:** 2025
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=63b4dbbe36c184b8e0bcfe321196485a32ca82b8a8050b7bdd9dc630481c3b87&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbmchelix%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,266 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Primary/Secondary Education
- **Company Size:** 37% Medium, 34% Large

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

**[""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)

**["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)

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

- [What is Netreo used for?](https://www.g2.com/discussions/what-is-netreo-used-for) - 1 comment

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[Browse AIOps Platforms Themes](/categories/aiops-platforms/themes)

Below are the top-rated AIOps Tools with AIOps + Application Performance Monitoring capabilities, as verified by G2’s Research team. Real users have identified AIOps + Application Performance Monitoring as an important function of AIOps Tools. Compare different products that offer this feature so you can decide which is best for your business needs.

Top Tools at a Glance

| 

 | 

Enterprise AIOps tied to ITSM workflows

 | 

User Review

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

 |
| 

 | 

AIOps for IT teams managing distributed remote endpoints

 | 

User Review

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

 |
| 

 | 

Automatic application observability for cloud-native environments

 | 

User Review

"Comprehensive Monitoring, Steep Learning Curve"

 |
| 

 | 

Causal AI for root-cause identification across full stack

 | 

User Review

"Comprehensive Observability, Excellent AI, but Complex Pricing"

 |
| 

 | 

Unified observability with AI anomaly detection

 | 

User Review

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

 |
| 

 | 

APM-focused observability for distributed systems

 | 

User Review

"A very good SAAS monitoring & observability tool"

 |
| 

 | 

OpenTelemetry-native observability on the Elastic stack

 | 

User Review

"APM is a Game-Changer for GKE Infrastructure"

 |
| 

 | 

Developer-focused performance insight

 | 

User Review

"New Relic User Experience Review"

 |

* * *

Show More

* * *

## How Do You Choose the Right AIOps Tools?

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

### AIOps Platforms software buying insights at a glance

Modern IT environments generate enormous volumes of operational data across infrastructure, applications, and cloud services. [AIOps platforms](https://www.g2.com/categories/aiops-platforms) apply machine learning and automation to analyze that data in real time, helping IT and [DevOps](https://www.g2.com/categories/devops) teams detect anomalies, correlate alerts, and resolve incidents faster. By combining telemetry from logs, metrics, traces, and infrastructure signals, AIOps software helps teams move from reactive monitoring to proactive operations. In practice, these platforms act as a decision layer for IT operations—turning massive volumes of performance data into prioritized insights that help teams understand what's happening across complex environments and respond before issues escalate.

As cloud-native architectures, microservices, and distributed systems become the norm, AIOps platforms are becoming increasingly essential for teams responsible for uptime and performance. Buyers often adopt AIOps solutions to reduce alert fatigue, accelerate root-cause analysis, and maintain visibility across sprawling infrastructure environments. Instead of manually investigating thousands of monitoring signals, teams use automation and AI to surface the most relevant issues and recommend remediation steps.

Buyer searches converge on one phrasing: the best AIOps platforms for DevOps and distributed systems MTTR reduction. Recent reviews back that framing directly. Administrators describe these platforms cutting mean time to resolution by correlating metrics, logs, and traces in one place, and DevOps engineers in distributed, multi-cloud environments report alert volumes dropping by more than half once dynamic thresholds replace static ones. Based on G2 reviews, administrators, day-to-day users, and consultants evaluate AIOps platforms by comparing alert correlation and noise reduction, automated root-cause analysis, and the implementation and tuning effort the platform demands before it delivers.

Based on G2 reviews, products in this category receive strong satisfaction scores overall, with an average star rating of 4.63 out of 5 and an average likelihood to recommend of 9.26 out of 10. Reviewers also report strong usability scores, with ease of use averaging 5.17 and ease of setup 5.03, suggesting many of the best AIOps tools are becoming more accessible to DevOps and IT operations teams.

The biggest buying pattern I see is that organizations evaluating AIOps platforms are looking for two things at once: deeper visibility into complex systems and [automation](https://www.g2.com/categories/professional-services-automation) that reduces the time to detect and resolve incidents. That's why the best AIOps tools are often evaluated not just on monitoring capabilities, but also on how well they correlate signals, surface actionable insights, and integrate with existing observability and [incident management](https://www.g2.com/categories/incident-management) workflows.

Organizations use AIOps platforms to detect anomalies across infrastructure, applications, and networks in real time while automating root-cause analysis to resolve incidents faster. They also help reduce alert noise through correlation, optimize cloud resource allocation, and provide predictive insights that allow teams to prevent outages before they impact users.

Pricing for AIOps software varies widely depending on data volume, deployment scale, and automation capabilities. Entry-level solutions typically start with usage-based or node-based pricing, while enterprise AIOps solutions often use custom pricing based on telemetry ingestion, integrations, and automation features. Organizations evaluating the best AIOps tools should consider long-term operational value, including reduced downtime, fewer manual troubleshooting hours, and improved infrastructure efficiency.

#### Top 5 FAQs from software buyers:

- What are AIOps platforms and how do they improve IT operations?
- How do AIOps solutions reduce alert noise and incident response times?
- What features should I look for in the best AIOps tools?
- How does AIOps software integrate with existing monitoring and observability platforms?
- What are the implementation challenges of deploying AIOps platforms?

G2's top-rated AIOps platforms software, based on verified user reviews, includes [Atera](https://www.g2.com/products/atera/reviews), [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews), [IBM Instana](https://www.g2.com/products/ibm-instana/reviews), and [Dynatrace](https://www.g2.com/products/dynatrace/reviews).

### What are the top-reviewed AIOps Platforms on G2?

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

- Number of Reviews: 316
- Satisfaction Score: 100
- Market Presence Score: 72
- G2 Score: 86

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

- Number of Reviews: 74
- Satisfaction Score: 74
- Market Presence Score: 98
- G2 Score: 86

[IBM Instana](https://www.g2.com/products/ibm-instana/reviews)

- Number of Reviews: 109
- Satisfaction Score: 68
- Market Presence Score: 93
- G2 Score: 80

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

- Number of Reviews: 808
- Satisfaction Score: 66
- Market Presence Score: 94
- G2 Score: 80

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

- Number of Reviews: 99
- Satisfaction Score: 56
- Market Presence Score: 84
- G2 Score: 70

Satisfaction score reflects how positively users rate and feel about a product based on review-driven signals (beyond just a star average). ([Source 2](https://www.g2.com/reports))

Market Presence score reflects a product's reach and strength in the market using signals like market share, seller size, and broader visibility/impact indicators. ([Source 2](https://www.g2.com/reports))

G2 Score is calculated as a proprietary composite that (in simplified terms) averages Satisfaction and Market Presence to rank products within a category. ([Source 2](https://www.g2.com/reports))

Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies))

### What I Often See in AIOps Platforms

#### Feedback Pros: What Users Consistently Appreciate

- Real-time anomaly detection with end-to-end system performance visibility

_"Dynatrace provides deep, AI-driven monitoring and observability across hybrid and multi-cloud environments, with excellent end-to-end visibility. Its AI engine automatically detects anomalies, reduces noise, and delivers clear root-cause insights. The Dynatrace interface is clean, the topology mapping is incredibly accurate, and the single-agent deployment makes onboarding very easy."_

_-_ [_Lokesha K._](https://www.g2.com/products/dynatrace/reviews/dynatrace-review-12223944)\*\*, Dynatrace Review\*

- User-friendly dashboards simplifying monitoring across complex distributed environments

_"Datadog gives us a single observability layer that ties metrics, logs, traces, and AI-driven insights together. What I like most is how fast it is to instrument new services, define custom metrics, and build dashboards that actually help teams make decisions. We also use Datadog extensively for deploying internal AI agents—its event streams, log ingestions, and metric pipelines make it easy to create intelligent triggers and automated workflows. The correlation between logs → metrics → alerts is incredibly powerful, and the AI-based anomaly detection has helped us reduce blind spots in our observability stack."_

_-_ [_Ajay V._](https://www.g2.com/products/datadog/reviews/datadog-review-12011820)\*\*, Datadog Review\*

- Automated insights that reduce troubleshooting time across infrastructure layers

_"Best about ServiceNow IT Operations Management is how it brings everything together in one place—from real-time infrastructure visibility to automated workflows. It cuts through alert noise, helps spot issues before they impact users, and saves a lot of time with smart automation. It just makes IT operations feel more in control and less reactive. Integration connection support is broader and easier to use. Can use day-to-day process automation and tasks."_

_-_ [_Anil P._](https://www.g2.com/products/servicenow-it-operations-management/reviews/servicenow-it-operations-management-review-11494216)\*\*, ServiceNow IT Operations Management\*

#### Cons: Where Many Platforms Fall Short

- Steep learning curve for new users configuring advanced features

_"The initial implementation can be complex. Discovery tuning, CMDB cleanup, and event correlation rules require careful planning. If the data foundation is not clean, the value of ITOM decreases quickly. Licensing and overall cost can also be significant, particularly for mid-sized organizations. It's powerful, but it's not lightweight. There's also a learning curve. Administrators need proper training to fully leverage automation and event management capabilities."_

_-_ [_Dharamveer p_](https://www.g2.com/products/servicenow-it-operations-management/reviews/servicenow-it-operations-management-review-12414550)\*\*., ServiceNow IT Operations Management\*

- Complex initial setup requiring significant configuration across monitoring sources

_"If I had to point out the area of improvement, the integration with non-IBM products can feel a bit restrictive compared to its seamless support for the IBM ecosystem. When we try to bring in third-party or custom black box applications, the setup requires more manual heavy lifting than the plug-and-play experience we get with native IBM tools. Additionally, the notification system can be a bit overwhelming if you don't spend a significant amount of time fine-tuning your alert threshold and smart alerts. You can quickly find yourself dealing with a noisy volume of warnings that aren't all machine critical, which can lead to alert fatigue for on-call technicians."_

_-_ [_Andrea F._](https://www.g2.com/products/ibm-instana/reviews/ibm-instana-review-12278638)\*\*, IBM Instana Review\*

- Interface complexity when navigating large volumes of operational data

_"User interface contains an overwhelming amount of features that make it difficult to navigate through. Categorization is often innacurate and causes problems with finding specific logs. Time-frame functionalities are often buggy and unreliable. It's unclear how to integrates bugs from application in development to DataDog log system."_

_-_ [_Aviv Y_](https://www.g2.com/products/datadog/reviews/datadog-review-11173766)\*\*., Datadog Review\*

### My Expert Takeaway on AIOps Platforms in 2026

Based on G2 reviews, products in the AIOps platforms category perform strongly across the indicators that typically signal real operational value. Reviewers report an average star rating of 4.63/5 and a likelihood-to-recommend score of 9.26/10, alongside solid usability metrics, including 5.17 for ease of use and 5.03 for ease of setup. That combination suggests most teams see measurable benefits once their AIOps software is implemented and integrated into daily monitoring workflows.

Where high-performing teams stand out is in how they operationalize automation and observability data. Organizations that get the most value from AIOps solutions tend to treat them as part of a broader observability strategy rather than a standalone monitoring tool. They connect telemetry sources across logs, metrics, and traces, configure alert correlation and automation rules, and continuously refine anomaly detection thresholds so teams can focus on the incidents that truly matter.

I also see stronger adoption patterns among organizations operating at large digital scale—particularly in industries like financial services, SaaS, and e-commerce—where engineering teams manage distributed systems and large volumes of telemetry. In these environments, the best AIOps tools help teams surface meaningful signals from noisy monitoring data and prioritize the most impactful incidents before they affect users.

If you're evaluating whether AIOps platforms are the right investment, I recommend focusing on three early indicators: how well the platform correlates alerts across your monitoring stack, how quickly teams can identify root causes using automated insights, and whether the AIOps software integrates cleanly with your existing observability and incident management workflows. Teams that validate these areas early typically see faster incident resolution and more proactive operations.

### AIOps Platforms FAQs

#### Most Popular FAQs

**Which AIOps platforms have the best reviews?**

Better Stack, OpsPilot, Atera, and Site24x7 hold the strongest combinations of rating and review base in this category:

- [Better Stack](https://www.g2.com/products/better-stack): Rated 4.8 stars across 331 reviews, the highest rating among mid-size review bases in the category.
- [OpsPilot](https://www.g2.com/products/opspilot): Rated 4.8 stars across 180 reviews.
- [Atera](https://www.g2.com/products/atera): Rated 4.6 stars across 1,231 reviews, the largest base at that rating, though its reviews span RMM and helpdesk use as much as AIOps, so read the category-tagged reviews.
- [Site24x7](https://www.g2.com/products/site24x7): Rated 4.6 stars across 441 reviews.

[Dynatrace](https://www.g2.com/products/dynatrace) carries the category's largest overall base at 1,366 reviews and 4.5 stars.

**What are AIOps use cases versus MLOps use cases?**

AIOps applies machine learning to IT operations data, correlating alerts, finding root causes, and predicting incidents, while MLOps is the discipline of deploying and maintaining machine learning models themselves. The buyers differ: AIOps serves IT operations, SRE, and DevOps teams running infrastructure, and recent reviews show what that looks like in practice, from [BigPanda](https://www.g2.com/products/bigpanda) reviewers correlating alerts across monitoring tools to [LogicMonitor](https://www.g2.com/products/logicmonitor) reviewers forecasting capacity problems before they land. MLOps serves data science teams shipping models, which is a separate G2 category entirely. The confusion is understandable since both put "ops" after an AI term, but evaluating an AIOps platform on MLOps criteria, or the reverse, wastes a procurement cycle. If your goal is fewer outages and faster incident resolution, you are shopping in this category.

**Which AIOps platforms are best for predictive IT operations?**

The platforms best for predictive IT operations show prediction in recent reviews as prevented incidents rather than dashboards, and two products carry the most concrete forecasting evidence. Based on G2 reviews:

- [LogicMonitor](https://www.g2.com/products/logicmonitor): Reviewers describe predictive forecasting with a configurable training window of 30 or 90 days that projects metric trends forward, letting teams see where a resource is heading before it becomes an incident.
- [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management): Reviewers cite predictive insights alongside event correlation as what shifts IT operations from reactive firefighting to proactive work, with issues resolved before they reach users.

The counterweight is data appetite: ServiceNow reviewers say the AI depends heavily on high-quality data and the right configuration and can generate false positives early on, and one LogicMonitor reviewer notes CSV exports include only historical raw data, not the forecasted points. Judge predictive claims by asking vendors for a customer example where a forecast prevented a real incident.

**What are the biggest challenges when implementing an AIOps platform?**

Recent reviews converge on three challenges: Data quality, tuning effort, and cost predictability. This question reflects a dominant pattern across search results for this category rather than a single source.

- **Data quality:** [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management) reviewers are blunt that dirty CMDB data, duplicates, and missing relationships degrade AI accuracy quickly, with early deployments generating false positives until configuration matures.
- **Tuning effort:** [IBM Instana](https://www.g2.com/products/ibm-instana) reviewers describe noisy warning volumes until alert thresholds are fine-tuned, and [PagerDuty](https://www.g2.com/products/pagerduty) reviewers report duplicate pages until grouping rules are dialed in.
- **Cost predictability:** [Dynatrace](https://www.g2.com/products/dynatrace) reviewers call consumption-based pricing hard to forecast as telemetry grows, and [Datadog](https://www.g2.com/products/datadog) reviewers describe log ingestion costs that need ongoing governance.

**Which AIOps platforms are best for monitoring?**

[Dynatrace](https://www.g2.com/products/dynatrace/reviews) is widely used for full-stack monitoring across cloud and microservices environments using AI-driven analytics. [Datadog](https://www.g2.com/products/datadog/reviews) provides unified monitoring across metrics, logs, and traces, making it popular for cloud-native environments. [IBM Instana](https://www.g2.com/products/ibm-instana/reviews) focuses on automatic application discovery and real-time performance monitoring for distributed systems.

**Who provides the best AIOps in networking?**

[Datadog](https://www.g2.com/products/datadog/reviews) helps teams track network traffic, service dependencies, and infrastructure health through real-time telemetry data. [Dynatrace](https://www.g2.com/products/dynatrace/reviews) applies AI-driven analytics to correlate signals across network, infrastructure, and applications to quickly pinpoint root causes of issues. [Atera](https://www.g2.com/products/atera/reviews) focuses on AI-powered monitoring and automation for IT teams managing endpoints, networks, and remote infrastructure.

**Will AIOps replace DevOps?**

AIOps is designed to support DevOps teams rather than replace them by automating operational analysis and incident detection. For example, [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) helps teams automate event correlation and incident response across IT environments, while [Dynatrace](https://www.g2.com/products/dynatrace/reviews) provides AI-driven insights that help engineers identify issues faster. In practice, AIOps reduces manual monitoring work while DevOps teams focus on building, deploying, and improving systems.

**Which AIOps software integrates with DevOps workflows?**

[Datadog](https://www.g2.com/products/datadog/reviews) integrates with CI/CD tools and cloud platforms to monitor deployments and performance changes. [Dynatrace](https://www.g2.com/products/dynatrace/reviews) connects with Kubernetes, Jira, and collaboration tools to automate alerting and root-cause analysis. [IBM Instana](https://www.g2.com/products/ibm-instana/reviews) provides real-time observability for containerized and microservices environments used in modern DevOps pipelines.

**Which AIOps platforms are best for early issue detection?**

Recent reviews give consistent answers on which platforms deliver early issue detection, catching problems before users feel them:

- [Site24x7](https://www.g2.com/products/site24x7/reviews): Reviewers describe AI anomaly detection that spots issues before they take systems down and can trigger automatic fixes such as restarting a frozen server.
- [Dynatrace](https://www.g2.com/products/dynatrace/reviews): Reviewers say real-time monitoring, automatic dependency mapping, and proactive alerting make it easier to detect problems early, with the Davis AI engine pinpointing performance bottlenecks before they impact end users.
- [New Relic](https://www.g2.com/products/new-relic): Reviewers credit real-time monitoring and alerting with catching issues the moment they begin, so teams detect and resolve problems before they reach end users.
- [LogicMonitor](https://www.g2.com/products/logicmonitor/reviews): One DevOps team reports weekly alert volume falling from 400 to 150 actionable alerts after replacing static thresholds with dynamic ones, which keeps genuine early warnings from drowning in noise.

The counterweight is that early detection is earned, not installed, with Site24x7 reviewers warning that default settings are oversensitive and flood on-call engineers with false alarms until heavily customized and LogicMonitor reviewers describing alarm storms when starting thresholds go untuned: Budget tuning time into the first month of any deployment, and measure detection value by incidents caught before user impact, not by alert volume.

**Which AIOps platforms do users rate as most trusted in their reviews?**

Trust in this category means something specific: Believing the platform when it says what broke.

- [Dynatrace](https://www.g2.com/products/dynatrace/reviews): Earns the most explicit trust language in recent reviews, with users describing its Davis AI as explaining why something went wrong rather than merely flagging it, delivering a single answer instead of a hundred confusing alerts.
- [PagerDuty](https://www.g2.com/products/pagerduty/reviews): Reviewers call it dependable in the way that matters at 3 a.m., with alerts that consistently reach the right on-call engineer.
- [BigPanda](https://www.g2.com/products/bigpanda/reviews): Reviewers describe correlation that shows the sequence of events, such as a network switch dropping, then a database timing out, then the application failing, which ends finger pointing.

The counterweight is that trust is conditional, with [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) reviewers noting its AI depends heavily on clean data and can generate false positives early on, and some [Coralogix](https://www.g2.com/products/coralogix/reviews) reviewers describing buggy releases that eroded their confidence even as others praise its anomaly detection: Ask each vendor's references how often their team acts on a named root cause without re-verifying.

**Which are the top AIOps platforms for Java application monitoring?**

As per the vendors, three platforms instrument Java and JVM-based applications through their standard agents, and what reviews establish is how deep each goes once instrumented:

- [Dynatrace](https://www.g2.com/products/dynatrace/reviews): Reviewers describe OneAgent deployment that delivers code-level, full-stack insight with automatic dependency mapping, though they also describe steep training investment and documentation that lags some frameworks.
- [IBM Instana](https://www.g2.com/products/ibm-instana/reviews): Reviewers describe automatic discovery that traces every request and builds real-time service maps that make complex microservices environments legible, though the interface feels dense while learning which view answers which question.
- [New Relic](https://www.g2.com/products/new-relic/reviews): Reviewers call distributed tracing the feature that pinpoints latency across services.

Run the trial agent against one production-representative Java service and score each platform on how fast a new team member can go from alert to offending method.

Note: Recent reviews in this category rarely name Java explicitly, so this answer combines what reviewers say about application-level monitoring depth with vendor-stated language support, and it is labeled accordingly

**Which AIOps platforms provide explainable root cause analysis and avoid AI hallucinations?**

Explainable root cause analysis is the difference between an AI verdict that a team acts on and one it re-verifies from scratch, and on the hallucination side, reviews report the risk as miscorrelation rather than fabrication:

- [Dynatrace](https://www.g2.com/products/dynatrace/reviews): Reviewers give the strongest explainability evidence in recent reviews, with Davis AI explaining why an issue occurred, pinpointing the exact root cause, and replacing a flood of alerts with one answer, backed by topology mapping that reviewers call incredibly accurate.
- [BigPanda](https://www.g2.com/products/bigpanda/reviews): Reviewers describe seeing the causal sequence itself, which component failed first and what it took down next.
- [IBM Instana](https://www.g2.com/products/ibm-instana/reviews): Reviewers say real-time dependency maps and transaction traces let them move from a high-level alert to the specific service or request at fault, though one reviewer cautions against depending too much on AI analytics for decisions.

On miscorrelation, [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) reviewers say AI outcomes degrade to false positives when CMDB data is dirty, and [Datadog](https://www.g2.com/products/datadog/reviews) reviewers call its anomaly detection basic and note teams still spend time interpreting what action to take: Demand a live demo on your own messy telemetry, and ask the vendor to show the evidence trail behind one root-cause verdict.

**Which AIOps platforms integrate with ITSM tools for automatic incident creation?**

The event-to-ticket handoff is where AIOps value becomes measurable, and recent reviews name the working ITSM integration paths for automatic incident creation:

- [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews): Reviewers describe the tightest loop, with operational events linking directly to incidents and integrations with monitoring tools like Azure Monitor and SolarWinds centralizing alerts and creating incidents automatically, removing constant manual watching.
- [PagerDuty](https://www.g2.com/products/pagerduty/reviews): Reviewers describe alerts flowing into Slack for immediate triage and Jira tickets created or updated from the incident itself, part of an integration catalog reviewers put at over 700 tools.
- [BigPanda](https://www.g2.com/products/bigpanda/reviews): Reviewers cite ServiceNow and Datadog integrations that turn correlated alerts into single actionable incidents.
- [LogicMonitor](https://www.g2.com/products/logicmonitor/reviews): Reviewers call ITSM integration easy, with alerts reaching PagerDuty and Slack immediately.

The counterweight is automation amplifying mess, with PagerDuty reviewers reporting a single incident spawning duplicate pages from related resources until grouping rules are tuned and ServiceNow reviewers tying incident accuracy to CMDB hygiene: Pilot the integration with one service, and count duplicate and false tickets per week as your acceptance metric.

#### Small Business FAQs

Small business reviewers wrote 56 of the 358 reviews G2 collected across leading products in this category in the past year, a small share of an enterprise-weighted category. The [small business AIOps platforms segment page](https://www.g2.com/categories/aiops-platforms/small-business) filters ratings to that group.

**What is the most affordable AIOps platform for small businesses?**

Affordability in this category hinges on the pricing unit, not the list price:

- [Atera](https://www.g2.com/products/atera): Draws the strongest small team cost praise because it prices per technician rather than per device, which MSP reviewers say scales predictably as managed endpoints grow.
- [LogicMonitor](https://www.g2.com/products/logicmonitor): Reviewers report per-device pricing where short-lived containers consume license quota, inflating bills beyond forecasts.
- [PagerDuty](https://www.g2.com/products/pagerduty): Reviewers across segments call per-user costs steep, with AIOps features locked behind higher tiers.
- [Site24x7](https://www.g2.com/products/site24x7): Reviewers describe add-on-heavy billing where an affordable base price escalates with extra logs and monitors.

**Which AIOps platform is the most user-friendly for small teams?**

For small teams, the most user-friendly AIOps platforms are the ones reviewers say new technicians can learn quickly:

- [Atera](https://www.g2.com/products/atera): Earns the most consistent ease-of-use marks from small teams, with reviewers describing an intuitive interface, quick onboarding, and new technicians getting productive without weeks of training.
- [BigPanda](https://www.g2.com/products/bigpanda): Reviewers rate initial setup as straightforward.
- [Coralogix](https://www.g2.com/products/coralogix): Reviewers call setup easy and fast.

Some Site24x7 reviewers describe a dated, cluttered interface, and LogicMonitor reviewers say custom monitoring requires learning Groovy scripting.

**Do small businesses need a full AIOps platform or is monitoring enough?**

Usually monitoring plus reliable alerting comes first: Small teams in recent reviews get their initial wins from consolidated visibility and dependable paging rather than AI correlation. Small business [PagerDuty](https://www.g2.com/products/pagerduty) reviewers focus on alerts reaching the right person and Slack-based triage, and small business [Atera](https://www.g2.com/products/atera) reviewers describe remote monitoring, ticketing, and automation in one platform as the value, with AI features arriving as an add-on benefit. The structural catch is that AI capabilities often sit behind volume or tier gates: One Atera reviewer notes its AI assistant is only available starting at larger user counts, and PagerDuty reviewers report AIOps grouping locked to pricier plans. Start with the monitoring and alerting layer, prove the on-call workflow, and add AI correlation when alert volume, not marketing, demands it.

#### Enterprise FAQs

**What is the best-rated AIOps platform for enterprises?**

Enterprise reviewers wrote 165 of the 358 reviews G2 collected across leading products in this category in the past year, the largest segment share, and the [enterprise AIOps platforms segment page](https://www.g2.com/categories/aiops-platforms/enterprise) filters ratings to that group:

- [Dynatrace](https://www.g2.com/products/dynatrace): 4.5 stars across 1,366 reviews, with the most consistent enterprise praise for Davis AI root-cause analysis and single-agent deployment across hybrid and multi-cloud estates.
- [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management): 4.4 stars across 450 reviews, anchoring the event-management-plus-ITSM pattern enterprises describe.
- [BigPanda](https://www.g2.com/products/bigpanda): 4.5 stars across 125 reviews, the pure-play correlation layer enterprise reviewers describe feeding from their existing monitoring tools.

**How should enterprises evaluate AIOps platforms?**

Based on recent G2 reviews, enterprises should evaluate the following in AIOps platforms:

- **Data consistency:** [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management) reviewers tie AI accuracy directly to CMDB quality, with duplicates and missing relationships degrading visibility and producing false positives.
- **Rollout friction:** ServiceNow reviewers describe complex, time-consuming implementations needing skilled resources, and [PagerDuty](https://www.g2.com/products/pagerduty) reviewers report escalation policies and grouping rules that demand ongoing maintenance as teams change.
- **Cost trajectory:** [Dynatrace](https://www.g2.com/products/dynatrace) reviewers call consumption-based pricing unpredictable as telemetry grows, and [Datadog](https://www.g2.com/products/datadog) reviewers describe log ingestion and custom metric costs requiring continuous governance.
- **Implementation ownership:** Dynatrace reviewers describe significant training investment before teams are productive, and ServiceNow reviewers note platform upgrades can break custom discovery patterns without dedicated ownership.
- **Support model:** [Site24x7](https://www.g2.com/products/site24x7) reviewers describe escalating through multiple support tiers before reaching engineers who can resolve deep issues, and some [LogicMonitor](https://www.g2.com/products/logicmonitor) reviewers report support being hard to reach.

Negotiate telemetry pricing bands, professional services hours, and tuning milestones into the contract, and judge the pilot on MTTR movement.

**Which AIOps solution is best for large-scale enterprise systems?**

Large enterprises often seek AIOps platforms that can monitor complex, hybrid, and multi-cloud environments at scale. [Dynatrace](https://www.g2.com/products/dynatrace/reviews) is known for AI-driven observability and automatic service discovery across large distributed systems. [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews) provides enterprise event management and automated incident workflows tied to service management processes.

#### Sources

- [G2 Research Hub](https://research.g2.com/insights/demo-automation)
- [G2 Research Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies)
- [G2 Market Presence Score Overview](https://www.g2.com/reports)

Researched and written by [Tian Lin](https://research.g2.com/insights/author/tian-lin)

Last updated on: March 16, 2026