# Best Enterprise AIOps Tools

  *By [Tian Lin](https://research.g2.com/insights/author/tian-lin)*

   Products classified in the overall AIOps Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business AIOps Platforms to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business AIOps Platforms category.

In addition to qualifying for inclusion in the AIOps Tools category, to qualify for inclusion in the Enterprise Business AIOps Tools category, a product must have at least 10 reviews left by a reviewer from an enterprise business.





## Category Overview

**Total Products under this Category:** 113


## Trust & Credibility Stats

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

- 30 Analysts and Data Experts
- 11,300+ Authentic Reviews
- 113+ 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.


## Best AIOps Tools At A Glance

- **Best for Small Businesses:** [Atera](https://www.g2.com/products/atera/reviews)
- **Best for Mid-Market:** [IBM Instana](https://www.g2.com/products/ibm-instana/reviews)
- **Best for Enterprise:** [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews)
- **Highest User Satisfaction:** [Atera](https://www.g2.com/products/atera/reviews)
- **Best Free Software:** [Dynatrace](https://www.g2.com/products/dynatrace/reviews)


---

**Sponsored**

### Thalian

Thalian is an IT intelligence platform that helps mid-market IT and security teams detect and remediate risks across identity providers, endpoint managers, SaaS applications, and cloud infrastructure by correlating data across disconnected systems. Most mid-market IT teams manage environments spread across five or more platforms with no single tool providing a complete picture. Identity data lives in Okta or Microsoft Entra ID. Device compliance data lives in Jamf or Intune. Application access data lives in Google Workspace or Salesforce. When these systems do not communicate, risks accumulate in the gaps. A user offboarded in the identity provider may still hold active entitlements in downstream applications. A privileged account may be logging in from a device the endpoint manager has flagged as non-compliant. Thalian acts as the intelligence layer across all connected platforms, ingesting data via direct API integrations and correlating it using intelligent reasoning and contextual analysis. Key features include: ``` • Cross-platform analysis engine with hundreds of detection rules across eleven categories including identity security, device posture, shadow IT, access hygiene, license waste, compound risk, behavioral anomaly, and cloud IAM privilege analysis • Plain-language findings expressed as objective sentences with a subject, a condition, and a consequence • Automated remediation with an approval workflow for high and critical severity actions, backed by an immutable audit log • Access review campaigns for structured user access certification aligned to SOC 2 and ISO 27001 • Compliance posture tracking, auto-generated security policies, what-if impact simulation, and exportable reports ``` Thalian integrates with more than twenty-five platforms including Okta, Microsoft Entra ID, Google Workspace, Jamf, Intune, CrowdStrike, Salesforce, GitHub, AWS IAM, JumpCloud, OneLogin, Slack, and Zoom. It is hosted in the cloud and available on subscription plans for mid-market organizations.



[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=2107&secure%5Bdisplayable_resource_id%5D=2107&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2107&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1824101&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%2Fenterprise%3Fpage%3D2&secure%5Btoken%5D=8a6e17530eaa42660defefe3aa06fe92270f099e548b8f1562fbba3ff3668fc8&secure%5Burl%5D=https%3A%2F%2Fthalian.ai%2F%3Futm_source%3Dg2%26utm_medium%3Dreferral%26utm_campaign%3Dg2-profile&secure%5Burl_type%5D=custom_url)

---

## Top-Rated Products (Ranked by G2 Score)
### 1. [ServiceNow IT Operations Management](https://www.g2.com/products/servicenow-it-operations-management/reviews)
  ServiceNow IT Operations Management (ITOM) is a comprehensive solution designed to enhance the visibility, health, and optimization of an organization's IT infrastructure. By integrating advanced automation and artificial intelligence, ITOM enables proactive management of IT operations, reducing downtime and improving service delivery. Key Features and Functionality: - ITOM Visibility: Automates the discovery of IT assets across on-premises, cloud, and hybrid environments, providing a unified view of the infrastructure. Service Mapping identifies dependencies between IT components, facilitating impact analysis and change management. - ITOM Health: Consolidates and correlates events from various monitoring tools, enabling IT teams to prioritize and respond to critical incidents promptly. Operational Intelligence leverages AI and machine learning to detect patterns and anomalies, allowing for proactive issue resolution. - ITOM Optimization: Manages cloud resources effectively by providing visibility and control over public, private, and hybrid cloud environments. Automates provisioning, lifecycle management, and cost optimization of IT resources supporting application services. Primary Value and Solutions Provided: ServiceNow ITOM addresses the challenges of managing complex IT environments by offering a unified platform that enhances operational efficiency and service reliability. It enables organizations to transition from reactive to proactive operations, minimizing the risk of outages and optimizing resource utilization. By automating routine tasks and providing real-time insights, ITOM empowers IT teams to focus on strategic initiatives, ultimately driving business growth and resilience.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 184

**User Satisfaction Scores:**

- **Systems Monitoring:** 8.8/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 8.2/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10)
- **Reporting:** 9.0/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [ServiceNow](https://www.g2.com/sellers/servicenow)
- **Company Website:** https://www.servicenow.com/
- **Year Founded:** 2004
- **HQ Location:** Santa Clara, CA
- **Twitter:** @servicenow (54,113 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/29352/ (32,701 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Financial Services
  - **Company Size:** 61% Enterprise, 24% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (51 reviews)
- Visibility (44 reviews)
- Monitoring (39 reviews)
- Automation (31 reviews)
- Flexibility (20 reviews)

**Cons:**

- Learning Difficulty (29 reviews)
- Complexity (27 reviews)
- Setup Complexity (25 reviews)
- Expensive (24 reviews)
- Steep Learning Curve (24 reviews)

### 2. [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:** 1,230

**User Satisfaction Scores:**

- **Systems Monitoring:** 8.8/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 8.5/10 (Category avg: 8.5/10)
- **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)


**Seller Details:**

- **Seller:** [Dynatrace](https://www.g2.com/sellers/dynatrace)
- **Year Founded:** 2005
- **HQ Location:** Boston, MA
- **Twitter:** @Dynatrace (18,659 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/125999/ (5,950 employees on LinkedIn®)
- **Ownership:** NYSE: DT

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Information Technology and Services, Financial Services
  - **Company Size:** 69% Enterprise, 23% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (84 reviews)
- Debugging (53 reviews)
- Insights (47 reviews)
- Features (44 reviews)
- Monitoring (44 reviews)

**Cons:**

- Learning Curve (43 reviews)
- Missing Features (39 reviews)
- Complexity (29 reviews)
- UX Improvement (26 reviews)
- Learning Difficulty (25 reviews)

### 3. [Atera](https://www.g2.com/products/atera/reviews)
  The first and only Agentic AI platform for IT management, offers a digital workforce of AI agents that proactively and autonomously support your entire IT operation. Atera’s all-in-one IT management platform consolidates RMM, helpdesk, ticketing, advanced reporting and automation- thus empowering IT teams and MSPs to efficiently manage and protect infrastructure, automate tasks, and boost service quality by reducing downtime and improving SLAs. Introducing IT Autopilot by Atera: It isn’t another IT solution, it’s a transformation in how organization scale IT. This evolution paves the way for Autonomous IT, shifting the modus operandi from reactive or routine automation to proactive and preemptive action. (1) Cut 40% of your IT workload: Eliminate 100% of tasks that drain your team’s time. IT Autopilot doesn’t just assist, it acts and resolves. (2) Always-on. No downtime: Deliver 24/7/365 IT support, no vacations, no sick leave. (3) A personal IT tech for every employee: Intelligent, context-aware AI agent that understands your environment, adapts to each user, responds instantly, and resolves autonomously. Plus, early-adopters have said it’s also quite polite. Atera is pioneering the shift from automation to AI-powered autonomy in IT. With our AI agents, IT teams can offload repetitive tasks, resolve issues faster, ensure better service, and focus on strategy rather than fix/break or firefighting. We maintain the highest security and compliance standards and follow responsible AI frameworks, ensuring our AI can be a trusted extension of your IT team. Trusted by over 13K customers in 120+ countries, Atera offers a scalable solution enabling organizations to drive sustainable growth and maximize organizational efficiency. Discover how Atera can help you achieve unparalleled IT efficiency. Try Atera free for 30 days at: www.atera.com


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 1,086

**User Satisfaction Scores:**

- **Systems Monitoring:** 8.0/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 8.8/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10)
- **Reporting:** 5.3/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Atera](https://www.g2.com/sellers/atera)
- **Company Website:** https://www.atera.com
- **Year Founded:** 2011
- **HQ Location:** Tel Aviv
- **Twitter:** @AteraCloud (1,672 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/98739/ (405 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Owner, IT Manager
  - **Top Industries:** Information Technology and Services, Computer & Network Security
  - **Company Size:** 59% Small-Business, 32% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (595 reviews)
- Features (392 reviews)
- Automation (348 reviews)
- Efficiency (285 reviews)
- Remote Access (267 reviews)

**Cons:**

- Missing Features (269 reviews)
- Limited Features (199 reviews)
- Feature Issues (138 reviews)
- Improvement Needed (137 reviews)
- Needs Improvement (117 reviews)

### 4. [Digitate](https://www.g2.com/products/digitate/reviews)
  Launched in 2015, Digitate is a leading provider of SaaS-based autonomous enterprise software, bringing agility, assurance, and resiliency to IT and business operations. Digitate’s flagship offering, ignio™, is an award-winning, AIOps platform that accelerates the automation of IT lifecycle tasks from triaging to resolution. It combines unified observability, AI-powered insights, and closed-loop automation to deliver better visibility and control over business KPIs in hybrid and multi-cloud environments. Further, it enables predictive and preventive operations with intelligent recommendations and self-healing. Our customers span multiple industries and include Fortune 500 companies and global enterprises that are leaders and innovators. Digitate empowers customers every day to innovate and manage workloads, increase business velocity, and deliver superior end-user experiences.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 128

**User Satisfaction Scores:**

- **Systems Monitoring:** 8.5/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 7.7/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Reporting:** 8.1/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Digitate](https://www.g2.com/sellers/digitate)
- **Company Website:** https://digitate.com/
- **Year Founded:** 2015
- **HQ Location:** Santa Clara, US
- **Twitter:** @igniobydigitate (3,770 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/igniobydigitate/ (341 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Manager
  - **Top Industries:** Retail, Pharmaceuticals
  - **Company Size:** 81% Enterprise, 10% Mid-Market


#### Pros & Cons

**Pros:**

- Artificial Intelligence (20 reviews)
- Automation (20 reviews)
- Customer Support (11 reviews)
- Issue Resolution (8 reviews)
- Productivity Improvement (8 reviews)

**Cons:**

- Time-Consuming (6 reviews)
- Difficult Learning (5 reviews)
- Setup Complexity (4 reviews)
- Limited Features (3 reviews)
- Resource Constraints (3 reviews)

### 5. [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:** 688

**User Satisfaction Scores:**

- **Systems Monitoring:** 9.4/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 9.1/10 (Category avg: 8.5/10)
- **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)


**Seller Details:**

- **Seller:** [Datadog](https://www.g2.com/sellers/datadog)
- **Company Website:** https://www.datadoghq.com/
- **Year Founded:** 2010
- **HQ Location:** New York
- **Twitter:** @datadoghq (50,931 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1066442/ (10,625 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, DevOps Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 47% Mid-Market, 33% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (145 reviews)
- Monitoring (144 reviews)
- Real-time Monitoring (122 reviews)
- Features (93 reviews)
- Analytics (88 reviews)

**Cons:**

- Expensive (92 reviews)
- Learning Curve (73 reviews)
- Pricing Issues (71 reviews)
- Cost (65 reviews)
- Learning Difficulty (56 reviews)

### 6. [IBM Instana](https://www.g2.com/products/ibm-instana/reviews)
  IBM Instana 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:** 463

**User Satisfaction Scores:**

- **Systems Monitoring:** 9.0/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 8.7/10 (Category avg: 8.5/10)
- **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)


**Seller Details:**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** https://www.ibm.com/us-en
- **Year Founded:** 1911
- **HQ Location:** Armonk, NY
- **Twitter:** @IBM (709,023 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, System Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 41% Mid-Market, 36% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (132 reviews)
- Monitoring (116 reviews)
- Real-time Monitoring (107 reviews)
- Monitoring Capabilities (99 reviews)
- Easy Setup (69 reviews)

**Cons:**

- Expensive (48 reviews)
- Learning Curve (40 reviews)
- User Interface Issues (40 reviews)
- Pricing Issues (39 reviews)
- Difficult Learning (36 reviews)

### 7. [SysAid](https://www.g2.com/products/sysaid/reviews)
  SysAid is a robust IT Service Management (ITSM) platform powered by Agentic AI, automating the repetitive, time-consuming work that keeps teams stuck in reactive mode. Adding a powerful new operational layer to IT, AI Agents take the first action, freeing IT teams to focus on optimization, innovation, and bigger challenges. Go live in weeks with fast onboarding, no heavy migrations, or steep learning curves. SysAid’s AI is purpose-built for IT, with security and governance built in. With our award-winning support, you’re set up for success. ITSM run by AI, and you.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 707

**User Satisfaction Scores:**

- **Artificial Intelligence:** 10.0/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Reporting:** 10.0/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [SysAid](https://www.g2.com/sellers/sysaid)
- **Company Website:** https://www.sysaid.com
- **Year Founded:** 2002
- **HQ Location:** Toronto, Canada
- **Twitter:** @sysaid (9,602 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/132666/ (258 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** IT Manager, System Administrator
  - **Top Industries:** Information Technology and Services, Hospital & Health Care
  - **Company Size:** 60% Mid-Market, 30% Enterprise


#### Pros & Cons

**Pros:**

- Customer Support (32 reviews)
- Ease of Use (32 reviews)
- Automation (27 reviews)
- Features (26 reviews)
- Ticket Management (24 reviews)

**Cons:**

- Missing Features (12 reviews)
- Steep Learning Curve (11 reviews)
- Clunky Interface (9 reviews)
- Poor Customer Support (9 reviews)
- Complex Setup (8 reviews)

### 8. [New Relic](https://www.g2.com/products/new-relic/reviews)
  New Relic invented cloud APM for application engineers. Today it is a leader in observability and source of truth for all engineers to make decisions with data across their entire software stack and the software life cycle. There are an estimated 25 million engineers in the world across more than 25 distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and predictable user-based pricing. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 568

**User Satisfaction Scores:**

- **Systems Monitoring:** 9.8/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 9.8/10 (Category avg: 8.5/10)
- **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)


**Seller Details:**

- **Seller:** [New Relic](https://www.g2.com/sellers/new-relic)
- **Company Website:** https://newrelic.com
- **Year Founded:** 2008
- **HQ Location:** San Francisco, CA
- **Twitter:** @newrelic (65,851 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/426253/ (3,029 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 43% Mid-Market, 30% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (97 reviews)
- Real-time Monitoring (95 reviews)
- Monitoring (75 reviews)
- Insights (69 reviews)
- Analytics (62 reviews)

**Cons:**

- Expensive (63 reviews)
- Pricing Issues (53 reviews)
- Complexity (50 reviews)
- Learning Curve (50 reviews)
- Complex Setup (38 reviews)

### 9. [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:** 97

**User Satisfaction Scores:**

- **Systems Monitoring:** 9.4/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 9.4/10 (Category avg: 8.5/10)
- **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)


**Seller Details:**

- **Seller:** [meshIQ](https://www.g2.com/sellers/meshiq)
- **Company Website:** https://www.meshiq.com/
- **Year Founded:** 1994
- **HQ Location:** Plainview, NY
- **LinkedIn® Page:** https://www.linkedin.com/company/nastel-technologies/ (62 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Banking, Information Technology and Services
  - **Company Size:** 44% Enterprise, 37% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (33 reviews)
- Real-time Monitoring (20 reviews)
- User Interface (17 reviews)
- Monitoring (15 reviews)
- Useful (11 reviews)

**Cons:**

- Difficult Learning (14 reviews)
- Learning Curve (14 reviews)
- Complexity (11 reviews)
- Difficult Configuration (10 reviews)
- Learning Difficulty (10 reviews)

### 10. [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:** 335

**User Satisfaction Scores:**

- **Systems Monitoring:** 9.2/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 8.3/10 (Category avg: 8.5/10)
- **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)


**Seller Details:**

- **Seller:** [Cisco](https://www.g2.com/sellers/cisco)
- **Year Founded:** 1984
- **HQ Location:** San Jose, CA
- **Twitter:** @Cisco (721,388 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/cisco/ (95,742 employees on LinkedIn®)
- **Ownership:** NASDAQ:CSCO

**Reviewer Demographics:**
  - **Who Uses This:** Senior Software Engineer, Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 58% Enterprise, 35% Mid-Market


#### Pros & Cons

**Pros:**

- Automation (1 reviews)
- Cloud Services (1 reviews)
- Ease of Use (1 reviews)
- Easy Integrations (1 reviews)
- Integrations (1 reviews)

**Cons:**

- Billing Issues (1 reviews)
- Expensive (1 reviews)
- Inefficient Alert System (1 reviews)
- Poor Customer Support (1 reviews)
- Pricing Issues (1 reviews)

### 11. [PagerDuty](https://www.g2.com/products/pagerduty/reviews)
  PagerDuty helps organizations of all sizes deliver seamless digital experiences by providing real-time insights and automation through the PagerDuty Operations Cloud. Designed to manage critical incidents, PagerDuty enables teams to detect, assess, and resolve issues faster, preventing downtime and ensuring business continuity. Key Features and Product Functionality PagerDuty Operations Cloud is the heart of our platform, providing proactive incident response, on-call management, automated workflows, and AI-powered insights. With seamless integrations to over 700 tools, including monitoring and collaboration platforms, PagerDuty helps teams centralize their operations to improve service reliability and avoid disruption. What Makes us Different PagerDuty empowers teams to solve critical problems quickly and efficiently, enhancing operational resilience and improving overall performance. Trusted by leading organizations, the Operations Cloud is uniquely built to handle the complexities of today’s digital businesses. Our ability to deliver real-time incident resolution sets us apart, giving IT leaders and CIOs the confidence to maintain always-on services. Get Started Experience the power of the PagerDuty Operations Cloud. Learn more and start your free trial at www.pagerduty.com/free-trial


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 902

**User Satisfaction Scores:**

- **Systems Monitoring:** 9.7/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 9.7/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Reporting:** 9.6/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [PagerDuty](https://www.g2.com/sellers/pagerduty)
- **Company Website:** https://www.pagerduty.com/
- **Year Founded:** 2009
- **HQ Location:** San Francisco, CA
- **Twitter:** @pagerduty (24,705 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/482819/ (1,288 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 44% Mid-Market, 38% Enterprise


#### Pros & Cons

**Pros:**

- Alert Notifications (21 reviews)
- Alerting System (19 reviews)
- Alert Management (17 reviews)
- Ease of Use (15 reviews)
- Easy Integrations (15 reviews)

**Cons:**

- Alert Issues (12 reviews)
- Expensive (8 reviews)
- Complexity (7 reviews)
- Inefficient Alert System (7 reviews)
- Complex UI (6 reviews)

### 12. [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:** 411

**User Satisfaction Scores:**

- **Systems Monitoring:** 7.9/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 7.0/10 (Category avg: 8.5/10)
- **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)


**Seller Details:**

- **Seller:** [Cisco](https://www.g2.com/sellers/cisco)
- **Year Founded:** 1984
- **HQ Location:** San Jose, CA
- **Twitter:** @Cisco (721,388 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/cisco/ (95,742 employees on LinkedIn®)
- **Ownership:** NASDAQ:CSCO

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 64% Enterprise, 27% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (10 reviews)
- Log Management (8 reviews)
- Dashboards (6 reviews)
- Data Analysis (6 reviews)
- User Interface (5 reviews)

**Cons:**

- Expensive (8 reviews)
- Learning Curve (8 reviews)
- High Resource Consumption (4 reviews)
- Licensing Issues (4 reviews)
- Pricing Issues (4 reviews)

### 13. [IBM Turbonomic](https://www.g2.com/products/ibm-turbonomic/reviews)
  IBM Turbonomic is a real-time application resource management platform designed to help users optimize and manage resources across hybrid and multi-cloud environments. This innovative solution continuously analyzes application performance and resource utilization, automating critical resourcing decisions to ensure optimal application performance while minimizing costs associated with cloud and infrastructure resources. IBM Turbonomic addresses the challenges of managing complex, dynamic environments. As organizations increasingly adopt hybrid and multi-cloud strategies, the need for effective resource management becomes paramount. Turbonomic provides a comprehensive approach to performance management by analyzing the entire technology stack, identifying inefficiencies, and uncovering dependencies that can impact application performance. This proactive management capability allows organizations to maintain high service levels while controlling costs. One of the key features of IBM Turbonomic is its ability to continuously adjust application resources in real time. By monitoring resource utilization and application performance, Turbonomic prevents performance degradation and overprovisioning. This dynamic adjustment ensures that applications receive the necessary resources when needed, which is crucial for maintaining optimal performance levels. Additionally, the platform automates resource decisions such as scaling and placement, allowing organizations to focus on strategic initiatives rather than manual resource management tasks. Turbonomic customers report an average 33% reduction in cloud and infrastructure waste without impacting application performance, and return-on-investment of 471% over three years. IBM Turbonomic is also available on AWS Marketplace. By leveraging Turbonomic, businesses can ensure that their applications run smoothly, resources are utilized effectively, and costs are kept in check, all while maintaining a focus on innovation and growth. For further information, please visit www.ibm.com/products/turbonomic


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 287

**User Satisfaction Scores:**

- **Systems Monitoring:** 8.8/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 8.5/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Reporting:** 8.5/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** https://www.ibm.com/us-en
- **Year Founded:** 1911
- **HQ Location:** Armonk, NY
- **Twitter:** @IBM (709,023 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, System Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 42% Enterprise, 32% Mid-Market


#### Pros & Cons

**Pros:**

- Cost Optimization (41 reviews)
- Ease of Use (39 reviews)
- Automation (38 reviews)
- Performance (31 reviews)
- Real-time Monitoring (29 reviews)

**Cons:**

- Complexity (32 reviews)
- Learning Curve (30 reviews)
- Complex Configuration (26 reviews)
- Difficult Learning (25 reviews)
- Difficult Setup (25 reviews)

### 14. [LogicMonitor](https://www.g2.com/products/logicmonitor/reviews)
  LogicMonitor® offers hybrid observability powered by AI. The company’s SaaS-based platform, LM Envision, enables observability across on-prem and multi-cloud environments. We provide IT and business teams operational visibility and predictability across their technologies and applications to focus less on troubleshooting and more on delivering extraordinary employee and customer experiences. 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:** 577

**User Satisfaction Scores:**

- **Systems Monitoring:** 8.6/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 7.6/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10)
- **Reporting:** 8.3/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [LogicMonitor](https://www.g2.com/sellers/logicmonitor)
- **Company Website:** https://www.logicmonitor.com/
- **Year Founded:** 2007
- **HQ Location:** Santa Barbara, CA
- **Twitter:** @logicmonitor (12,470 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1165219/ (1,249 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Infrastructure Manager, IT Manager
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 52% Mid-Market, 30% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (21 reviews)
- Monitoring (18 reviews)
- Implementation Ease (17 reviews)
- Comprehensive Monitoring (16 reviews)
- Customer Support (16 reviews)

**Cons:**

- Limited Features (10 reviews)
- Learning Curve (9 reviews)
- Expensive (8 reviews)
- Feature Deficiency (8 reviews)
- Inadequate Monitoring (8 reviews)

### 15. [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

**User Satisfaction Scores:**

- **Systems Monitoring:** 8.8/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 9.1/10 (Category avg: 8.5/10)
- **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)


**Seller Details:**

- **Seller:** [Moogsoft](https://www.g2.com/sellers/moogsoft)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, California
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Analyst
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 82% Enterprise, 18% Mid-Market


#### Pros & Cons

**Pros:**

- Alerting System (1 reviews)
- Alert Management (1 reviews)
- Dashboard Usability (1 reviews)
- Data Visualization (1 reviews)
- Visibility (1 reviews)

**Cons:**

- Alert Issues (1 reviews)
- Performance Issues (1 reviews)
- Slow Loading (1 reviews)
- Slow Performance (1 reviews)

### 16. [SUSE Cloud Observability](https://www.g2.com/products/suse-cloud-observability/reviews)
  SUSE Cloud Observability helps platform teams and SREs gain full-stack visibility across Kubernetes, hybrid and on-premise environments. Built with open standards like OpenTelemetry, it provides a unified platform to collect, correlate and act on telemetry data—metrics, events, logs and traces—without vendor lock-in. Whether you're troubleshooting distributed applications or optimizing performance at scale, SUSE Cloud Observability accelerates root cause analysis and helps teams move from issue detection to resolution fast. The platform come with 40+ prebuilt dashboards for EKS, EC2, Kubernetes and more. It is cloud-first, developer friendly and available as a free trial on the AWS Marketplace.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 30

**User Satisfaction Scores:**

- **Systems Monitoring:** 8.5/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 8.1/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10)
- **Reporting:** 7.2/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [SUSE](https://www.g2.com/sellers/suse)
- **Company Website:** https://www.suse.com/
- **Year Founded:** 1992
- **HQ Location:** Nürnberg, DE
- **Twitter:** @SUSE (64,658 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1455/ (2,712 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Banking
  - **Company Size:** 70% Enterprise, 23% Mid-Market


#### Pros & Cons

**Pros:**

- Cloud Integration (2 reviews)
- Easy Integrations (2 reviews)
- Alerting System (1 reviews)
- Alerting Systems (1 reviews)
- Automation (1 reviews)

**Cons:**

- Alert Issues (2 reviews)
- Alert System (2 reviews)
- Difficult Learning (2 reviews)
- Inefficient Alert System (2 reviews)
- Learning Curve (2 reviews)

### 17. [Splunk Infrastructure Monitoring](https://www.g2.com/products/splunk-infrastructure-monitoring/reviews)
  SignalFx is the only real-time cloud monitoring platform for infrastructure, microservices, and applications. The platform discovers and collects metrics across every component in your cloud environment, replacing traditional point tools and providing real-time predictive analytics. The massively scalable SignalFx architecture is optimized for cloud infrastructure and microservices-based applications, It provides powerful visualization, proactive alerting, and collaborative triage capabilities for organizations of all sizes. SignalFx is used by leading enterprises across high tech, financial services, consumer products, retail, communications, media, entertainment, and web-scale players like Yelp, HubSpot, Acquia, and Kayak. SignalFx is venture-funded by Andreessen Horowitz, Charles River Ventures, and General Catalyst


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 48

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Cisco](https://www.g2.com/sellers/cisco)
- **Year Founded:** 1984
- **HQ Location:** San Jose, CA
- **Twitter:** @Cisco (721,388 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/cisco/ (95,742 employees on LinkedIn®)
- **Ownership:** NASDAQ:CSCO

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 46% Enterprise, 35% Mid-Market


#### Pros & Cons

**Pros:**

- Dashboards (2 reviews)
- Ease of Use (2 reviews)
- Log Management (2 reviews)
- Data Analysis (1 reviews)
- Monitoring (1 reviews)

**Cons:**

- Learning Curve (2 reviews)
- Expensive (1 reviews)
- Outdated Interface (1 reviews)
- Poor UI (1 reviews)

### 18. [Aisera](https://www.g2.com/products/aisera/reviews)
  Aisera delivers an Agentic AI platform that leverages artificial intelligence and machine learning to automate and transform enterprise service desk operations across IT, HR, finance, legal, facilities, and customer service domains, delivering exponential cost efficiencies, higher organizational productivity, and an enhanced employee experience. Aisera’s Agentic AI platform acts as a cognitive layer of Artificial Intelligence on top of existing enterprise infrastructure, delivering a single pane of glass view into all business knowledge stored in all the disparate SORs, data systems, and applications that most enterprises accumulate over decades of technology investments. With a no-rip-n-replace approach, Aisera readily integrates with these existing SORs and applications and provides businesses the ability to launch fully autonomous agents that meet and exceed the most stringent enterprise data security, privacy, and compliance requirements and policies. The result is a highly efficient enterprise with transformed employee and customer experiences that translate into a continued increase in productivity levels across the enterprise.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 133

**User Satisfaction Scores:**

- **Systems Monitoring:** 9.0/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 8.8/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Reporting:** 9.0/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Automation Anywhere](https://www.g2.com/sellers/automation-anywhere)
- **Year Founded:** 2003
- **HQ Location:** San Jose, CA
- **Twitter:** @AutomationAnywh (55,214 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/208639/ (3,967 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 64% Enterprise, 26% Mid-Market


#### Pros & Cons

**Pros:**

- Helpful (51 reviews)
- Ease of Use (46 reviews)
- Customer Support (44 reviews)
- Artificial Intelligence (34 reviews)
- Automation (34 reviews)

**Cons:**

- Learning Curve (23 reviews)
- Time-Consuming (15 reviews)
- Complexity (14 reviews)
- AI Limitations (12 reviews)
- Steep Learning Curve (12 reviews)

### 19. [BigPanda](https://www.g2.com/products/bigpanda/reviews)
  BigPanda provides Event Correlation and Automation, powered by AIOps, that helps operations teams detect, respond and resolve IT incidents faster and more easily than ever before. As enterprises modernize and move to the cloud, IT Ops, NOC, DevOps and SRE teams struggle with manual and reactive incident response capabilities that are badly suited for the scale, complexity and velocity of modern IT environments. This results in painful outages, unhappy customers, growing IT headcount and the inability to focus on innovation. BigPanda helps organizations turn IT noise into insights and manual tasks into automated actions. Enterprises rely on BigPanda to reduce IT operating costs, improve service availability and increase business velocity without adding risk.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 111

**User Satisfaction Scores:**

- **Systems Monitoring:** 9.1/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 8.7/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Reporting:** 8.6/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [BigPanda](https://www.g2.com/sellers/bigpanda)
- **Year Founded:** 2012
- **HQ Location:** Mountain View, California
- **Twitter:** @bigpanda (3,064 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2598034/ (340 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Developer, Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 56% Enterprise, 38% Small-Business


#### Pros & Cons

**Pros:**

- Alerting System (1 reviews)
- Alert Management (1 reviews)
- Automation (1 reviews)
- Easy Integrations (1 reviews)
- Incident Management (1 reviews)


### 20. [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:** 88

**User Satisfaction Scores:**

- **Systems Monitoring:** 8.8/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 7.2/10 (Category avg: 8.5/10)
- **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)


**Seller Details:**

- **Seller:** [Elastic](https://www.g2.com/sellers/elastic)
- **Company Website:** https://www.elastic.co
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @elastic (64,541 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/814025/ (4,986 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 52% Enterprise, 48% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (7 reviews)
- Alerting System (6 reviews)
- Log Management (6 reviews)
- Monitoring (6 reviews)
- Features (5 reviews)

**Cons:**

- Learning Curve (5 reviews)
- Difficult Learning (4 reviews)
- Log Management (4 reviews)
- Learning Difficulty (3 reviews)
- Log Management Issues (3 reviews)

### 21. [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

**User Satisfaction Scores:**

- **Systems Monitoring:** 10.0/10 (Category avg: 8.9/10)
- **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)


**Seller Details:**

- **Seller:** [OpenText](https://www.g2.com/sellers/opentext)
- **Year Founded:** 1991
- **HQ Location:** Waterloo, ON
- **Twitter:** @OpenText (21,588 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2709/ (23,339 employees on LinkedIn®)
- **Ownership:** NASDAQ:OTEX

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Retail
  - **Company Size:** 106% Enterprise, 3% Mid-Market


#### Pros & Cons

**Pros:**

- Infrastructure Monitoring (1 reviews)
- Monitoring (1 reviews)
- Monitoring Ease (1 reviews)
- Monitoring Services (1 reviews)

**Cons:**

- Delay Issues (1 reviews)
- Delays (1 reviews)
- Logging Issues (1 reviews)
- Log Management (1 reviews)
- Poor Customer Support (1 reviews)

### 22. [AIMS](https://www.g2.com/products/aims-innovation-aims/reviews)
  Build confidence in your IT Operations with AIMS, an automated monitoring solution powered by AI. Get early notifications with automated anomaly detection of the issues that can potentially bring down your business and understand which other systems could be impacted with automated service dependency discovery. AIMS auto-detects changes you deploy to applications and automatically includes them in your application monitoring scope. Gain agility, efficiency, and confidence to scale your IT Operations with AIMS in days, not months or years.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 17

**User Satisfaction Scores:**

- **Systems Monitoring:** 6.7/10 (Category avg: 8.9/10)
- **Artificial Intelligence:** 10.0/10 (Category avg: 8.5/10)
- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10)
- **Reporting:** 10.0/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [VENDX E-Sourcing Suite](https://www.g2.com/sellers/vendx-e-sourcing-suite)
- **Year Founded:** 2011
- **HQ Location:** Oslo
- **Twitter:** @aimsinnovation (2,755 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/aims-innovation/ (24 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 59% Enterprise, 24% Small-Business


### 23. [Splunk Observability Cloud](https://www.g2.com/products/splunk-observability-cloud/reviews)
  Splunk Observability Cloud is a comprehensive, real-time monitoring and troubleshooting platform designed to provide full-stack visibility across any environment. By integrating application performance monitoring, infrastructure monitoring, and digital experience monitoring, it enables organizations to detect and resolve issues swiftly, ensuring optimal system performance and enhanced user experiences. Built on OpenTelemetry standards, Splunk Observability Cloud offers AI-driven insights and analytics, facilitating proactive management of complex, distributed systems. Key Features and Functionality: - Application Performance Monitoring (APM): Identifies and addresses application issues by combining related data into intuitive visuals, accelerating mean time to resolution (MTTR). - Infrastructure Monitoring: Provides instant visibility and real-time alerts to improve hybrid cloud performance. - Digital Experience Monitoring: Delivers insights into frontend performance through Real User Monitoring and Synthetic Monitoring, ensuring seamless user experiences. - AI-Powered Analytics: Utilizes machine learning-driven features like Service Maps and Trace Analytics to offer guided troubleshooting and faster issue resolution. - OpenTelemetry-Native: Ensures data ownership and control, preventing vendor lock-in and allowing consistent instrumentation across applications. - No Data Sampling: Collects and analyzes 100% of data with NoSample™ tracing, eliminating blind spots. - Log Observer Connect: Correlates logs stored in Splunk Platform with real-time metrics and traces, providing deeper context for software behavior. Primary Value and Problem Solving: Splunk Observability Cloud addresses the challenges of monitoring and managing complex, distributed systems by offering unified visibility and real-time troubleshooting capabilities. It empowers organizations to: - Accelerate Issue Resolution: By correlating metrics, traces, and logs, teams can quickly identify root causes, reducing downtime and improving system reliability. - Enhance User Experiences: Continuous monitoring of digital experiences ensures that performance issues are detected and resolved before impacting end-users. - Optimize Operational Efficiency: AI-driven insights and automated analytics streamline troubleshooting processes, allowing teams to focus on innovation rather than firefighting. - Maintain Data Control: The OpenTelemetry-native approach provides flexibility and prevents vendor lock-in, enabling organizations to adapt and scale their observability practices as needed. By integrating these capabilities, Splunk Observability Cloud enables organizations to maintain high system performance, deliver exceptional user experiences, and drive continuous innovation.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 54

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Cisco](https://www.g2.com/sellers/cisco)
- **Year Founded:** 1984
- **HQ Location:** San Jose, CA
- **Twitter:** @Cisco (721,388 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/cisco/ (95,742 employees on LinkedIn®)
- **Ownership:** NASDAQ:CSCO

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 39% Enterprise, 33% Small-Business


#### Pros & Cons

**Pros:**

- Logging Management (5 reviews)
- Log Management (5 reviews)
- Insights (4 reviews)
- Metrics Analysis (4 reviews)
- Features (3 reviews)

**Cons:**

- Complex Setup (3 reviews)
- Expensive (3 reviews)
- Dashboard Issues (2 reviews)
- Difficult Setup (2 reviews)
- Faulty Detection (2 reviews)



## Parent Category

[IT Infrastructure Software](https://www.g2.com/categories/it-infrastructure)



## Related Categories

- [Application Performance Monitoring (APM) Tools](https://www.g2.com/categories/application-performance-monitoring-apm)
- [Cloud Infrastructure Monitoring  Software](https://www.g2.com/categories/cloud-infrastructure-monitoring)
- [Observability Software](https://www.g2.com/categories/observability-software)



---

## Buyer Guide

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

### AIOps Platforms software buying insights at a glance

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

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

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

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

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

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

### Top 5 FAQs from software buyers:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..))

### What I Often See in AIOps Platforms

#### Feedback Pros: What Users Consistently Appreciate

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

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

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

- **User-friendly dashboards simplifying monitoring across complex distributed environments**

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

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

- **Automated insights that reduce troubleshooting time across infrastructure layers**

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

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

#### Cons: Where Many Platforms Fall Short

- **Steep learning curve for new users configuring advanced features**

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

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

- **Complex initial setup requiring significant configuration across monitoring sources**

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

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

- **Interface complexity when navigating large volumes of operational data**

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

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

### My Expert Takeaway on AIOps Platforms in 2026

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

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

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

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

### AIOps Platforms FAQs

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

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

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

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

#### **Will AIOps replace DevOps?**

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

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

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

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

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

#### Sources

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

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

Last updated on: March 16, 2026




---
## Frequently Asked Questions

### How do AIOps platforms enhance operational efficiency?

AIOps platforms enhance operational efficiency by automating incident management, reducing mean time to resolution (MTTR) through predictive analytics, and providing real-time insights into system performance. Users report significant improvements in collaboration and decision-making, with platforms like Moogsoft and Dynatrace noted for their ability to integrate data from various sources, enabling proactive issue detection. Additionally, tools such as Splunk and Datadog are praised for their machine learning capabilities that streamline workflows and optimize resource allocation, ultimately leading to reduced operational costs and improved service reliability.



### How do AIOps platforms handle data security and compliance?

AIOps platforms prioritize data security and compliance through various features. For instance, products like Moogsoft and Dynatrace emphasize robust encryption protocols and compliance with standards such as GDPR and HIPAA. Users frequently highlight the importance of role-based access controls and audit trails in platforms like Splunk and Datadog, ensuring that sensitive data is protected and access is monitored. Additionally, many platforms offer integrations with existing security tools to enhance overall security posture, reflecting a strong commitment to safeguarding data.



### How do AIOps platforms improve incident management processes?

AIOps platforms enhance incident management by automating root cause analysis, reducing mean time to resolution (MTTR), and improving collaboration among teams. Users report that platforms like Moogsoft and Dynatrace streamline incident detection and response through AI-driven insights, enabling proactive management of IT operations. Additionally, tools such as Splunk and PagerDuty facilitate better visibility and communication, allowing teams to address incidents more efficiently. Overall, these platforms significantly minimize downtime and enhance operational efficiency.



### How do AIOps platforms integrate with existing IT tools?

AIOps platforms typically integrate with existing IT tools through APIs, enabling seamless data exchange and automation. Users report that platforms like Splunk, Moogsoft, and Dynatrace offer robust integration capabilities, allowing for connections with monitoring, ticketing, and cloud services. For instance, Moogsoft users highlight its ability to integrate with tools like ServiceNow and Jira, enhancing incident management workflows. Similarly, Dynatrace is noted for its compatibility with various cloud environments and DevOps tools, facilitating a unified operational view.



### How scalable are AIOps platforms for growing businesses?

AIOps platforms demonstrate strong scalability for growing businesses, with users highlighting features like automated incident management and real-time analytics that adapt to increasing data volumes. Products such as Moogsoft, Dynatrace, and Splunk are noted for their ability to handle larger workloads seamlessly, with user reviews indicating satisfaction with performance as organizations expand. Additionally, many platforms offer flexible deployment options, which further enhance their scalability, allowing businesses to scale operations without significant disruptions.



### What are common use cases for AIOps platforms in enterprises?

Common use cases for AIOps platforms in enterprises include incident management, where they automate the detection and resolution of IT issues, and performance monitoring, which helps in analyzing system performance in real-time. Additionally, they are utilized for predictive analytics to foresee potential outages and for capacity planning to optimize resource allocation. AIOps platforms also enhance collaboration across IT teams by providing a unified view of operations, facilitating faster decision-making and improving overall operational efficiency.



### What are the key features to look for in AIOps platforms?

Key features to look for in AIOps platforms include automated incident management, real-time analytics, machine learning capabilities for anomaly detection, integration with existing IT tools, and customizable dashboards. Users frequently highlight the importance of predictive insights and collaboration features to enhance team efficiency. Additionally, strong reporting capabilities and user-friendly interfaces are often mentioned as critical for effective utilization. Platforms like Dynatrace, Splunk, and Moogsoft are noted for their robust feature sets in these areas.



### What are the typical implementation timelines for AIOps platforms?

Implementation timelines for AIOps platforms typically range from 3 to 6 months, depending on the complexity of the organization’s IT environment and the specific platform chosen. For instance, platforms like Moogsoft and Dynatrace often report quicker onboarding processes, while others like Splunk and IBM Watson AIOps may require more extensive integration efforts, extending timelines to 6 months or longer. User feedback indicates that thorough planning and resource allocation significantly influence these timelines.



### What differentiates AIOps platforms from traditional IT monitoring tools?

AIOps platforms differentiate from traditional IT monitoring tools by leveraging machine learning and artificial intelligence to automate and enhance IT operations. Users report that AIOps solutions, such as Moogsoft, Dynatrace, and Splunk, provide advanced anomaly detection and predictive analytics, enabling proactive issue resolution. In contrast, traditional tools primarily focus on real-time monitoring and alerting without the same level of automation or data correlation capabilities. This results in improved operational efficiency and reduced mean time to resolution (MTTR) for organizations using AIOps.



### What is the average pricing model for AIOps platforms?

The average pricing model for AIOps platforms typically includes subscription-based pricing, with monthly or annual billing options. Most platforms offer tiered pricing based on features and usage levels, with costs ranging from approximately $10 to $150 per user per month. For example, products like Moogsoft, Dynatrace, and Splunk Observability provide various pricing tiers that cater to different organizational needs, reflecting a common trend in the industry.



### What kind of support and training do AIOps vendors typically offer?

AIOps vendors typically offer a range of support and training options, including 24/7 customer support, online resources, and personalized training sessions. For instance, products like Moogsoft and Dynatrace provide extensive documentation and community forums, while vendors such as Splunk and BigPanda emphasize tailored onboarding and dedicated account management. Additionally, many platforms offer webinars and certification programs to enhance user proficiency, ensuring that organizations can effectively leverage their AIOps solutions.



### What metrics should I track to measure AIOps success?

To measure AIOps success, track metrics such as incident resolution time, mean time to detect (MTTD), mean time to resolve (MTTR), and the reduction in alert fatigue. Additionally, monitor the percentage of automated responses to incidents and the overall improvement in system uptime. User feedback highlights that platforms like Moogsoft, Dynatrace, and Splunk are effective in enhancing these metrics, with users noting significant improvements in operational efficiency and reduced downtime.