

Opsview and OpenText AI Operations Management compete in the IT operations management category. Opsview is favored for its customer support and pricing, while OpenText AI Operations Management is preferred for its comprehensive feature set, which explains its higher cost.
Features: Opsview provides robust monitoring that integrates seamlessly with existing infrastructures, making it suitable for organizations needing comprehensive systems oversight. The platform also offers a flexible alert framework and automation capabilities, enhancing efficiency by reducing manual monitoring. OpenText AI Operations Management excels with advanced AI-driven analytics, offering predictive insights and automation features that can significantly improve operational efficiency. It also includes a powerful data lake feature and event correlation capabilities that contribute to its superior analytical capacity.
Room for Improvement: Opsview could enhance its analytical features and user interface for a better user experience. Additionally, expanding support for more diverse monitoring plugins would be beneficial. Greater integration with third-party tools could also improve functionality. OpenText AI Operations Management can be improved by simplifying its deployment process and reducing resource demands of certain features. Updated UI elements would enhance user adaptability, while optimizing performance on cloud-based solutions could make it more appealing.
Ease of Deployment and Customer Service: Opsview offers a straightforward deployment process coupled with reliable customer support, making it ideal for quick implementation. In contrast, OpenText AI Operations Management has a more complex setup process due to its advanced features. However, it provides comprehensive support to ensure smooth integration. Organizations should consider whether simplicity or AI capabilities align better with their needs.
Pricing and ROI: Opsview is recognized for its competitive pricing model that offers good value with lower setup costs, yielding a faster ROI, appealing to budget-conscious companies. Meanwhile, OpenText AI Operations Management requires a higher initial investment due to its extensive features, but the enhanced operational efficiencies can lead to substantial long-term ROI. Companies need to weigh initial costs against the potential benefits of advanced capabilities.
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.
We are following approximately 10,000 metrics and logs, and the platform performs pretty well.
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.
Grafana does have features that I think my current solution lacks, such as better performance reporting.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
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.
Opsview's alerting capabilities are very helpful, and they positively impact our incident response times.
| Product | Mindshare (%) |
|---|---|
| OpenText AI Operations Management | 1.0% |
| Opsview | 2.0% |
| Other | 97.0% |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 9 |
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.
Opsview provides advanced monitoring for system availability, service metrics, and resource usage with flexibility and scalability tailored for global networks.
Opsview delivers comprehensive monitoring through its flexible alert framework, web GUI, and integration with Nagios plugins. It facilitates seamless server additions, supports multi-tenancy, and offers scalability with a MySQL backend. Configuring new hosts and services is straightforward, while advanced services like cloning and alert noise reduction enhance user experience. Users mention room for improvement in the API, database support, and features like bulk changes in the GUI. Despite these aspects, Opsview is preferred for cloud and client monitoring across multiple geographical points.
What are Opsview's most important features?Opsview proves valuable in cloud environments for monitoring resource availability and performance. Organizations deploy it for both internal and client-facing monitoring across global regions, benefiting from enhanced event triggers and automation opportunities, particularly in deployment monitoring and service tracking.
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