Best AIOps Tools and Platforms - Page 10

How Many AIOps Tools Products Does G2 Track?

Total Products under this Category: 154

Category Stats (Sep 2026)

  • Average Rating: 4.5/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: BMC Helix Operations Management with AIOps (+10.34%) - Among all products in this category, BMC Helix Operations Management with AIOps recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank AIOps Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 13,200+ Authentic Reviews
  • 154+ 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

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

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=sciencelogic-ai-platform&focus%5B%5D=sumo-logic&focus%5B%5D=dynatrace&focus%5B%5D=datadog)

Riverbed AIOps

Riverbed AIOps is an advanced Artificial Intelligence for IT Operations (AIOps) solution designed to streamline and enhance IT operations by leveraging AI, machine learning, and automation. It provides comprehensive observability across networks, applications, infrastructure, and user experiences, enabling organizations to proactively detect, diagnose, and resolve IT issues efficiently. Key Features and Functionality: - Full-Fidelity Telemetry: Captures real-time, high-quality data across the entire IT landscape, including networks, applications, and endpoints, ensuring precise insights. - AI-Driven Analysis: Utilizes causal, predictive, and generative AI to correlate data, identify anomalies, forecast potential issues, and provide actionable recommendations. - Automation Workflows: Offers no-code/low-code automation tools that replicate expert troubleshooting processes, streamline third-party data integration, and accelerate incident response. - Unified Data Store: Integrates observability data from various sources into a centralized repository, eliminating data silos and providing a holistic view of IT operations. - Intelligent Dashboards: Features dynamic, role-based dashboards that unify insights from multiple domains, facilitating contextual visibility and faster decision-making. Primary Value and Problem Solved: Riverbed AIOps addresses the challenges of managing complex, hybrid IT environments by providing a unified platform that enhances visibility, reduces alert fatigue, and accelerates problem resolution. By automating routine tasks and offering predictive insights, it empowers IT teams to shift from reactive to proactive operations, improving overall efficiency and ensuring optimal digital experiences for users.

Who Is the Company Behind Riverbed AIOps?

  • Seller: Riverbed Technology
  • Year Founded: 2002
  • HQ Location: San Francisco, CA
  • Twitter: @RIVERBED
    23,829 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,590 employees on LinkedIn®

Riverbed IQ

Riverbed IQ is a cloud-native, SaaS-delivered Unified Observability service that leverages artificial intelligence (AI), machine learning (ML), and big data analytics to enhance IT operations. By analyzing full-fidelity telemetry data across networks, infrastructure, applications, and end-user experiences, Riverbed IQ enables organizations to predict, detect, and resolve IT issues more efficiently. This comprehensive approach helps in automating IT operations, codifying expert knowledge, and continuously improving digital experiences for both customers and employees. Key Features and Functionality: - Full-Fidelity Telemetry Support: Collects and analyzes real-time data across all IT domains, including networks, infrastructure, applications, and end-user devices, providing a unified observability platform. - AI-Driven Problem Detection: Utilizes AI and ML to establish anomaly baselines, detect unusual behaviors, and automate the identification of IT issues, facilitating proactive problem management. - Automated Investigative Workflows: Offers customizable no-code/low-code automation workflows that replicate expert troubleshooting practices, enabling efficient incident investigation and resolution. - Actionable Insights with Generative AI: Employs Generative AI to deliver clear, natural language summaries of analytical insights, pinpointing root causes and recommending remediation steps in a conversational manner. - Integration with Third-Party Tools: Seamlessly integrates with various IT service management platforms, such as ServiceNow, to enhance incident management and streamline operations. Primary Value and User Solutions: Riverbed IQ addresses the complexities of modern, distributed IT environments by providing a unified observability solution that breaks down data silos and reduces alert fatigue. By automating the correlation of vast amounts of telemetry data and applying advanced analytics, it empowers IT teams to: - Reduce Mean Time to Resolution (MTTR): Accelerates problem detection and resolution through actionable insights and intelligent automation, leading to improved digital service quality. - Enhance First-Level Resolution Rates: Enables less experienced IT staff to perform tasks typically handled by senior personnel, reducing escalations and allowing senior staff to focus on strategic initiatives. - Improve Operational Efficiency: Minimizes manual efforts and optimizes workflows by automating routine tasks and providing contextual insights, leading to more efficient IT operations. - Support Hybrid Work Environments: Delivers comprehensive visibility and management capabilities for remote and hybrid work settings, ensuring seamless digital experiences for employees and customers alike. By integrating advanced AI capabilities with full-stack observability, Riverbed IQ empowers organizations to proactively manage their IT operations, enhance performance, and deliver superior digital experiences.

Who Is the Company Behind Riverbed IQ?

  • Seller: Riverbed Technology
  • Year Founded: 2002
  • HQ Location: San Francisco, CA
  • Twitter: @RIVERBED
    23,829 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,590 employees on LinkedIn®

RLCatalyst

RLCatalyst is an AI-driven DevOps automation platform designed to enhance IT operations through intelligent automation and comprehensive monitoring. By integrating artificial intelligence into IT operations , RLCatalyst aggregates data from multiple sources, applies machine learning algorithms, and extracts meaningful insights to proactively detect failures and prevent downtime. This approach ensures continuous service availability, accelerates diagnostics and recovery, and maintains compliance with real-time monitoring of hardware and software assets. Key Features and Functionality: - ServiceOne: Provides end-to-end managed services encompassing IT Service Management , IT Operations Management , security, governance, compliance, and DevOps. - Command Center: Collects data from various monitoring platforms to observe and understand behavioral patterns across multiple environments. - BOTs: Automates routine IT tasks using a pre-built library of reusable BOTs, enabling faster initiation of automation journeys and yielding cost reductions and improved Service Level Agreements . - CI/CD Cockpit: Offers insights into the application development process by aggregating data and visualizing performance metrics at every stage of Continuous Integration and Continuous Deployment . Primary Value and User Solutions: RLCatalyst addresses several critical challenges in IT operations: - Service Availability: Utilizes AI learning models and analytics to proactively resolve issues, ensuring uninterrupted service availability. - Diagnostics, Recovery, and Prevention: Accelerates the diagnosis and resolution of outages using AI techniques, with models that automatically recover and prevent problems without disrupting end users. - Continuous Security Monitoring: Provides real-time insights into security vulnerabilities, safeguarding assets and preventing data loss. - Compliance: Maintains real-time Configuration Management Database and monitors hardware and software assets to reduce risks and ensure compliance, including controlled use of software licenses and reduced maintenance costs through Software as a Service adoption. - Cost Management: Achieves significant cost savings across operations, including reductions in infrastructure costs through cloud adoption, team size optimization, and help desk ticket costs via automation and self-service. - Enhanced User Experiences: Through proactive diagnosis and prevention, minimizes disruptions to end users, thereby improving overall system experience. By adopting RLCatalyst, enterprises can transform their IT operations, achieving higher efficiency, reduced costs, and improved service quality.

Who Is the Company Behind RLCatalyst?

  • Seller: RELEVANCE LAB
  • Year Founded: 2011
  • HQ Location: San Jose, California, United States
  • LinkedIn® Page: www.linkedin.com
    463 employees on LinkedIn®

Runbook Studio for Azure Automation

The Runbook Studio is a graphical authoring application which enables users to create Azure Automation runbooks using a drag and drop, code free, graphical authoring approach. Runbook Studio is designed to enable organizations to harness the power of Azure Automation to make it easier and faster to build, maintain and support Runbooks in Azure, without the need to understand or write PowerShell. With our Runbook Studio packages you can simplify Azure Automation with low-code design studio, smart integrations and over 50 use cases for a single annual subscription. www.kelverion.com/runbook-studio Key features and benefits: Build Azure Automation runbooks in the Runbook Studio rather than the complicated Azure web browser experience. Benefit from low-code / no-code graphical authoring, ability to view and work on multiple runbooks at the same time and enabling coder and non-coder team members to easily build and manage Azure Automation runbooks. The Runbook Studio integrates and orchestrates third party systems to automate the day-to-day manual processes, which hinder and delay IT and Support Desk teams. Providing deep integration with Service Desks and enterprise management tools used in your business, enabling the automation of cloud and on-premise infrastructure and workloads. Deploy Integration Modules from the PowerShell Gallery, Kelverion Smart Integrations or your own PowerShell Integration Modules. Ready-built automation solutions for more than 50 common automation use cases are included: - Employee onboarding / offboarding. - Standard IT tasks. - Microsoft 365 Management. - Event to Service Desk Incident Ticket creation - Incident Routing, Diagnostics and Remediation. Smart Integrations Included: - ServiceNow - Atlassian Jira - BMC Atrium - BMC Helix ITSM - EasyVista - Freshservice - Salesforce - ServiceDesk Plus - Slack - SolarWinds - SQL Server - Oracle - Azure Infrastructure - Azure DevOps - Azure Monitor - VMware vSphere How is Kelverion Runbook Studio different? Many automation tools offer a custom, pseudo-programming language that requires you to build your own automation. Native Azure Automation requires you to be a PowerShell coder. The Runbook Suite provides rich no-code graphical authoring, underpinned by the Microsoft PowerShell framework running in Azure Automation. This visual approach makes the creation of automation runbooks simpler and doesn’t require coding knowledge. Deploying the Runbook Studio with Azure Automation delivers a true no code / low code IT Process Automation as a Service platform, enabling all team members to build and support IT automation. The Kelverion Runbook Studio enhances the Microsoft Azure Automation service, providing: - A rich graphical design experience - Extensive GIT version and release management support - Visibility and management of multiple automation accounts across different subscriptions. - Kelverion Smart integrations. - 50 common automation use cases. The Studio can be complemented with our easy to configure self-service Automation Portal pre-configured to trigger the included use cases.

Who Is the Company Behind Runbook Studio for Azure Automation?

  • Seller: Kelverion Inc
  • Year Founded: 2010
  • HQ Location: Orlando, US
  • Twitter: @Kelverion_
    1,203 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12 employees on LinkedIn®

Runliant

Runliant is a cloud-based monitoring platform for automation and AI jobs. It helps teams detect missed, late, failed, duplicated, or abnormal runs by checking schedules, result counts, required-field validations, duration, and cost. Users receive clear alerts and can investigate problems from one place, with guided setup for tools such as Make and Zapier.

Who Is the Company Behind Runliant?

Seerene

Seerene provides insights and analytics into mission-critical software.

Who Is the Company Behind Seerene?

  • Seller: seerene
  • Year Founded: 2015
  • HQ Location: Potsdam, DE
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Selector

Selector empowers network, cloud, and application operators with data-centric multi-domain analytics, driving the transition to AI- and ML-based operations intelligence. Selector Analytics converges network, applications, and IT system observability across heterogeneous data sources and provides actionable insights. Eliminate IT noise and reduce mean time to repair with Selector Analytics. Read more about our solution www.selector.ai/solutions/. Read our latest case studies and watch our videos to see Selector Analytics in action www.selector.ai/resources/.

Who Is the Company Behind Selector?

  • Seller: Selector
  • Year Founded: 2019
  • HQ Location: Santa Clara, US
  • LinkedIn® Page: www.linkedin.com
    115 employees on LinkedIn®

Serviche

Sergio by Serviche is the back office for home-service businesses, cleaning, landscaping, pest control, and the trades. It runs the day-to-day so owners can spend their time winning work instead of chasing it. Most service businesses leak revenue in the same places: a lead texts at 9pm and nobody answers, a job gets double-booked, a client never hears back and books someone else. Sergio closes those gaps. It replies to new leads in seconds, keeps the schedule tight so crews stay full, and follows up with clients before jobs slip away. Faster replies win more jobs, and a full calendar means more revenue from the crews you already have. In the field, crews snap photos and Sergio files them by job automatically, so proof of work is done in seconds, not paperwork at the end of the day. Clients get updates as the work happens, which builds the trust that turns one job into repeat business and referrals.

Who Is the Company Behind Serviche?

Splunk Service Intelligence for SAP solutions

Brings the power of AI-driven monitoring to SAP technology stacks, SAP HANA, S4/HANA on-premise and cloud deployments. By correlating SAP data with infrastructure data, organizations can gain end-to-end visibility into business processes, helping eliminate downtime and avoid costly outages.

Average Rating: 4.0/5.0

Total Reviews: 1

Who Is the Company Behind Splunk Service Intelligence for SAP solutions?

  • Seller: Cisco
  • Year Founded: 1984
  • HQ Location: San Jose, CA
  • Twitter: @Cisco
    720,366 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    95,294 employees on LinkedIn®
  • Ownership: NASDAQ:CSCO

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Splunk Service Intelligence for SAP solutions?

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.

Who Is the Company Behind Thalian?

  • Seller: Thalian
  • Year Founded: 2026
  • HQ Location: San Antonio, US
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Tiyaro

Developers - from enthusiasts to experts - use Tiyaro to instantly evaluate, run, and customize the world’s best AI models. It is one place for everything you need to rapidly add AI to apps: - Search: Our Model Explorer is the most comprehensive AI search engine to find all models that match your use case. - Compare: Compare models from different vendors and frameworks against your own data in minutes instead of months. - Run: Every model is always ready-to-use via our enterprise-grade API so you can focus on using AI, not operating it. - Customize: Our EasyTrain service lets you customize any of our models with your data, on-demand and code-free. More than 15000 models - from more than 2900 publishers are online and ready-to-run on Tiyaro.

Who Is the Company Behind Tiyaro?

UNIFIRA - AIOps Admin

Unifira's AIOps admin is an AI-driven platform designed to optimize cloud operations, IT financial management, and enterprise system efficiency. The platform enables organizations to gain full visibility into infrastructure costs, automate operational workflows, and improve resource utilization across multi-cloud environments.

Who Is the Company Behind UNIFIRA - AIOps Admin?

Uptime Audit

SLA monitoring for AWS, Azure, Google Cloud and DigitalOcean. UptimeAudit watches provider status pages and your health endpoints, detects SLA breaches, and drafts a ready-to-submit credit claim for every one. No cloud API access required: add your providers and it does the rest. Claims come pre-filled with your account details and the provider's SLA terms, ready for you to submit through the vendor's portal. Includes evidence packs, deadline reminders, and a daily digest.

Who Is the Company Behind Uptime Audit?

Tian Lin
TL
Researched and written by Tian Lin
Updated August 25, 2026