

OpenText AI Operations Management and Moogsoft compete in the IT operations management category, specializing in event correlation and monitoring. Moogsoft appears to have the upper hand due to its advanced AI-driven functionality and cost-effective pricing model.
Features: OpenText AI Operations Management offers a comprehensive dashboard, event consolidation, and robust reporting capabilities. It integrates well with various HPE products. Moogsoft provides AI-driven event management, noise reduction, and observability with unique AI capabilities for incident automation. It also excels in integrating multiple alarms into consolidated incidents.
Room for Improvement: OpenText AI Operations Management faces challenges with complex setup, high costs, and requires improvements in scalability, UI modernization, and licensing simplicity. Moogsoft could enhance its interfaces and integration capabilities, improve unsupervised learning algorithms, and enhance AI functions.
Ease of Deployment and Customer Service: OpenText AI Operations Management supports on-premises and hybrid cloud environments, offering infrastructure flexibility. Customer service experiences are mixed, with some concerns over offshore support. Moogsoft supports on-premises, private, public, and hybrid cloud deployments. Customer service is diverse, with some praise for effective support, while others mention consistency and response time issues.
Pricing and ROI: OpenText AI Operations Management is considered expensive with complex licensing, but its automation can yield cost savings. Moogsoft is seen as a cost-effective solution with competitive pricing and consumption-based licensing, offering strategic advantages by avoiding variable costs tied to data volume.
ROI depends on how we integrate our IT operations with Moogsoft, as it can reduce our workload, downtime, and resolution time effectively, ultimately delivering better solutions based on mean time to resolution.
OpenText goes out to bring the right people to answer any inquiries I have.
My team works with the customer success team for technical support and customer service for OpenText AI Operations Management.
The stability and scalability depend on architectural considerations and the company's specific situation.
Sometimes Moogsoft experiences stability issues due to bugs or internal problems, leading to downtime.
We are following approximately 10,000 metrics and logs, and the platform performs pretty well.
Introducing machine learning and AI features would enhance Moogsoft, streamlining IT operations, incident detection, and response management.
I would like to see Moogsoft improve on coming up with some agentic solutions for whatever they have been able to automate.
You need to see the big picture and understand what the customer's pain points are to find the right tuning.
Splunk is more business-friendly due to its prettier interface.
If you compare Moogsoft's pricing with some of the other combined solutions, they are not very cheap, but I don't think they are at the top end of the market either.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
Moogsoft offers various benefits, including incident response, reduced noise alert fatigue, increased availability and uptime, helping companies gain a better understanding of their IT environment, proactively addressing issues, and improving services.
The AIOps capabilities in Moogsoft, which it brings in with multiple data source support, are the most valuable features.
This automation significantly reduces manual intervention in ticket handling.
We have a platform where we are collecting metrics, logs, and traces for OpenText AI Operations Management, and if there is an anomaly, we directly open a ticket in our ITSM system.
| Product | Market Share (%) |
|---|---|
| Moogsoft | 3.7% |
| OpenText AI Operations Management | 4.0% |
| Other | 92.3% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
Moogsoft is an AI-based solution that ensures continuous availability and prevents downtime by utilizing machine learning and advanced correlation on your organization’s stack. Moogsoft detects incidents before they can escalate, notifies the proper response teams, and applies machine learning in order to understand patterns to help prevent similar issues in the future.
Moogsoft sits on top of an organization’s production stack and extends across automation, service management, log indexing, and notification tools. Algorithmic Noise Reduction automatically reduces event volumes to unique alerts without relying on rules, filters, or models. This enables teams to analyze all monitoring ecosystem events with no noise and no blind spots.
With Moogsoft extensive integration options, users can aggregate all their observable data into a single location and create automated workflows to detect and remediate incidents in third-party systems, ensuring their system remains unharmed. Moogsoft’s anomaly detection tools detect incidents as they emerge, allowing security teams to respond swiftly before they impact customers.
Teams can easily set up their own integrations using Moogsoft’s REST API and webhook. The solution provides guidance for each step, allowing users to import data from whatever tool they need with just a few mouse clicks.
Some of Moogsoft’s top features and benefits include:
Reviews from Real Users
Moogsoft stands out among its competitors for a number of reasons. A few major ones are its monitoring tools, its user-friendly interface, and its strong AI capabilities.
Vivek S., an O&M Lead at a communications service provider, writes, “The most valuable feature is the monitoring manager. Different components and different monitoring tools integrate with and send data to Moogsoft.
This is a user-friendly solution. It is very easy and very comfortable to use, with everything available on a single screen.
The AI component allows you to check previous cases and diagnose problems easily. It will show you what happened last time the same event occurred.”
OpenText AI Operations Management centralizes event correlation and monitoring across infrastructures, prioritizing scalability and automation for efficient alert management. It empowers organizations with transparency and insights essential for effective IT resource management in hybrid cloud environments.
OpenText AI Operations Management offers comprehensive solutions for event correlation, integration, and centralized alert management. With capabilities that streamline operations, this tool supports efficient IT management across AWS, GCP, and on-premises environments. Despite requiring improvements in performance and usability, its robust reporting and seamless monitoring provide valuable insights for root cause analysis. Users leverage this platform to integrate event data, automate incidents, and manage hybrid infrastructures effectively, making it a key component in enhancing service perspectives globally. Its heavy architecture and reliance on Java and Flash, coupled with complex licensing and pricing, necessitate attention to functionality and support areas.
What are the key features of OpenText AI Operations Management?OpenText AI Operations Management is widely implemented in industries requiring comprehensive monitoring capabilities. Organizations benefit from its ability to consolidate tools and manage events effectively across hybrid environments. The integration of incident automation and performance evaluation tools is particularly beneficial for those looking to enhance compliance support and reduce response times. Despite some challenges, the platform remains a valuable asset in managing complex IT environments and improving operational effectiveness.
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