

Microsoft System Center and OpenText AI Operations Management compete in the IT operations management category. User reviews indicate that Microsoft System Center has the upper hand due to its favorable pricing and support, while OpenText AI Operations Management is highlighted for its strong automation capabilities.
Features: Microsoft System Center offers seamless integration within Microsoft environments, valuable for automation tasks, and has endpoint management and system monitoring features. It is also user-friendly with easy configuration and a comprehensive dashboard. OpenText AI Operations Management excels in event correlation, scalability, and integrating multiple monitoring systems, offering enhanced visibility across IT infrastructures.
Room for Improvement: Microsoft System Center struggles with integration outside Microsoft products, and demands high computing resources, affecting performance in non-Windows environments. It requires improved reporting and mobile capabilities. OpenText AI Operations Management is complex to implement and costly, with room for improvements in user interface and third-party integration, necessitating significant infrastructure for optimal performance.
Ease of Deployment and Customer Service: Both Microsoft System Center and OpenText AI Operations Management primarily offer on-premises deployment with limited hybrid capabilities. Microsoft System Center's support is reported as inconsistent and costly. OpenText AI Operations Management poses similar deployment challenges, with moderate satisfaction regarding technical support, and is associated with a complex and resource-intensive setup.
Pricing and ROI: Microsoft System Center is considered expensive but offers a strong return on investment through automation and reducing third-party costs. OpenText AI Operations Management, though high in cost, provides flexible module-based pricing and significant savings via automation, effectively reducing manual workload and addressing recurring issues efficiently.
As a partner, I cannot create a ticket directly; I have to involve the end user's email to create one, so using the Software Assurance ID to create a ticket directly is not possible, making it very challenging for me.
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.
Microsoft System Center is scalable, allowing integration even if I have different sites.
The stability and scalability depend on architectural considerations and the company's specific situation.
We are following approximately 10,000 metrics and logs, and the platform performs pretty well.
The disadvantage of Microsoft System Center is related to the many integrated services; if one service is failing, then all features will be affected.
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.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
In Microsoft System Center, all the features are integrated already, whereas in ManageEngine, you have to license each feature individually to access those features.
This integration ensures that when monitoring systems alert and subsequently resolve, tickets are automatically created and closed.
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 (%) |
|---|---|
| OpenText AI Operations Management | 0.9% |
| Microsoft System Center | 0.7% |
| Other | 98.4% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
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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