OpenText AI Operations Management and LogicMonitor both compete in the IT operations management and infrastructure monitoring category. LogicMonitor has the upper hand due to its user-friendly interface and superior visualization features, which enhance usability.
Features: OpenText AI Operations Management offers a consolidated dashboard for availability and performance, integration capabilities, and task automation. LogicMonitor provides infrastructure monitoring with dynamic resource allocation, customizable dashboards, and a strong notification system.
Room for Improvement: OpenText AI Operations Management needs a more simplified architecture and enhanced user experience, along with better scalability and integration support. LogicMonitor could improve its logging features, automate remediation processes, and address cost concerns with its licensing model.
Ease of Deployment and Customer Service: OpenText AI Operations Management is flexible with its on-premises and hybrid cloud deployment options but can be complex to deploy, with variable customer service experiences. LogicMonitor is noted for its ease of deployment on public and hybrid clouds, although customer service experiences are mixed, with some reports of delays and inefficiencies.
Pricing and ROI: OpenText AI Operations Management's licensing can be complex and costly but offers ROI through automation and integration efficiencies. LogicMonitor is perceived as premium-priced, offering good value with its extensive features and tool consolidation, though it can be pricey for large deployments. Both have potential for strong ROI, with OpenText focusing on operational efficiency and LogicMonitor on comprehensive features and management ease.
The return is more of value and savings in preventing costly downtime, making the savings of about $60,000 which we would have lost without LogicMonitor, and in IT staff efficiency, we save approximately 15 hours a week.
Customer support is on point and very well trained.
OpenText goes out to bring the right people to answer any inquiries I have.
I wish the user interface would be customizable to allow users to create personal context-specific workspaces to hide irrelevant data, rather than trying to have a one-size-fits-all interface.
Splunk is more business-friendly due to its prettier interface.
From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours.
The dynamic alerting and root cause analysis have helped us fix issues before they cause a full-blown outage or degrade performance for end users.
This automation significantly reduces manual intervention in ticket handling.
Product | Market Share (%) |
---|---|
LogicMonitor | 2.7% |
OpenText AI Operations Management | 0.5% |
Other | 96.8% |
Company Size | Count |
---|---|
Small Business | 11 |
Midsize Enterprise | 9 |
Large Enterprise | 8 |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 7 |
Large Enterprise | 35 |
LogicMonitor offers flexible IT monitoring with customizable dashboards and robust alerting capabilities. It integrates seamlessly with third-party apps like ServiceNow and provides a single-pane view for diverse IT environments, aiding in proactive issue resolution and enhancing operational efficiency.
LogicMonitor stands out with its capability to monitor diverse infrastructures including Cisco Voice systems, data centers, and virtual environments. Supporting servers, storage, networking devices, and applications, it provides seamless integration with cloud services like AWS and Azure. Users leverage its scalability and flexibility, benefiting from dynamic thresholds, anomaly detection, and detailed visualization. All these features contribute to improved management of IT assets and streamlined operations. Users suggest improvements in mapping, reporting, and automation for remediation, desiring more customizations and an expansive application performance monitoring toolset.
What are LogicMonitor's key features?LogicMonitor is widely implemented across industries, providing monitoring for infrastructure in sectors like telecommunications, cloud computing, and managed services. Managed service providers particularly value its ability to track client environments, deliver proactive alerts, and generate comprehensive reports, while its integration with cloud platforms like AWS and Azure offers users centralized management and visibility into IT assets worldwide.
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.
We monitor all Cloud Monitoring Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.