OpenText AI Operations Management Reviews

Name: OpenText AI Operations Management
Brand: OpenText
Rating: 3.9 (48 reviews)

3.9 out of 5

48 reviews
92% willing to recommend

816 followers

What is OpenText AI Operations Management?

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.

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OpenText AI Operations Management is the #8 ranked solution in top Event Monitoring solutions, #12 ranked solution in top IT Operations Analytics solutions, and #29 ranked solution in top Cloud Monitoring Software. PeerSpot users give OpenText AI Operations Management an average rating of 7.8 out of 10. OpenText AI Operations Management is most commonly compared to Zabbix: OpenText AI Operations Management vs Zabbix. OpenText AI Operations Management is popular among the large enterprise segment, accounting for 60% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 19% of all views.

Buyer's Guide

OpenText AI Operations Management

June 2025

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Featured OpenText AI Operations Management reviews

Ahmed Salman

Performance & Monitoring Supervisor at Saudi Telecom Company

The data lake is a very powerful feature within OpenText Operations Bridge. It can integrate with any BI tool to collect AI data and perform a variety of functions. It offers hybrid compatibility and supports desktop application customization and cloud integration. Another essential capability is server automation, which became significantly easier with the software appliance for deployment. This solution also provides role-based access that enhances data privacy and security.

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Volodymyr Bondarchuk

Senior System Engineer at Novell

This solution worked as an umbrella for many different types of monitoring systems, offering various tools for not only application performance management models but also user experience models and monitoring business processes. It gave a comprehensive picture and a good understanding of the state of business processes. It was able to integrate with other tools like Zabbix and Prometheus.

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PUNEET SHADIJA

Vice President at Multi Commodity Exchange Of India

The most valuable aspect of Operations Bridge for us is its integration capabilities. It acts as an integrating tool, and we primarily use it for that purpose rather than any other effort. Although we haven't yet leveraged its automation capabilities, when applied from an NNMI perspective, it hasn't worked as expected.

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OpenText AI Operations Management mindshare

Product category:

As of June 2025, the mindshare of OpenText AI Operations Management in the Event Monitoring category stands at 6.3%, up from 5.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Event Monitoring

PeerResearch reports based on OpenText AI Operations Management reviews

Type	Title	Date
Category	Event Monitoring	Jun 22, 2025	Download
Product	Reviews, tips, and advice from real users	Jun 22, 2025	Download
Comparison	OpenText AI Operations Management vs ServiceNow IT Operations Management	Jun 22, 2025	Download
Comparison	OpenText AI Operations Management vs BMC TrueSight Operations Management	Jun 22, 2025	Download
Comparison	OpenText AI Operations Management vs OpsRamp	Jun 22, 2025	Download

Title	Rating	Mindshare	Recommending
Zabbix	4.2	N/A	95%	106 interviews Add to research
Splunk Enterprise Security	4.2	N/A	93%	313 interviews Add to research

Valuable Features

OpenText AI Operations Management stands out for its seamless integration, event correlation, and a consolidated dashboard offering transparent infrastructure views. Users appreciate its automation for efficiency and resource reduction. The flexible dashboard and preloaded rules simplify monitoring. Cross-domain event handling, scalability, and a single pane of glass enhance performance insights. Users value hybrid compatibility, centralization of alerts, and analytics capabilities for improved up-times and root cause analysis. These features enable actionable insights across networks, applications, and services.

"I rate OpenText Operations Bridge as a solid nine on a scale of one to ten."
"The most valuable aspect of Operations Bridge for us is its integration capabilities."
"This solution worked as an umbrella for many different types of monitoring systems, offering various tools for not only application performance management models but also user experience models and monitoring business processes."

Room for Improvement

OpenText AI Operations Management requires enhancements in multiple areas, including scalability, licensing, deployment simplicity, and integration. Users find the visualizations outdated, the interface slow, and the setup complex. The platform is resource-intensive, pricing is high, and technical support is lacking. Improved automation and monitoring features and a transition away from Java and Flash are needed. Users also desire better dashboard aesthetics and more effective event correlation. Stability and reporting features require significant upgrades.

"The dashboards from OpenText Operations Bridge, when compared to those from Splunk, are less visually appealing."
"We need improvements in delivering quality reports from OBM and in integrating Operations Bridge with other components like UCMDB for asset discovery."
"The product might currently have a lot of new features, however, I don't have information about these new features, so it's possible it may require updates in that area."

ROI

OpenText AI Operations Management shows varying ROI based on modules like Orchestration. It can achieve up to 90% ROI when certain functions are used. Some note a 30% time-saving, enhancing implementation efficiency and integration with OBM systems. Others are in a phase of maturity and haven't determined their return. Although precise calculations are uncommon, a positive impact is observed. Overall, user-friendly features contribute to a noticeable effectiveness.

Pricing

Enterprise buyers find OpenText AI Operations Management's pricing flexible but complex, with costs varying based on selected modules. While competitive for larger companies, smaller organizations might find it expensive. High initial setup costs depend on the partner, and additional payments for technical support may be required. Despite improvements, the licensing model is challenging, with potential overpaying for unused functionalities. Cost-effectiveness is noted in operation automation, though maintenance and support costs increase over time.

"The licensing model for Micro Focus Operations Bridge is unit-based so it can be one device or ten devices depending on your situation or model. Cost-wise, it's much more if you have more devices and features such as infrastructure monitoring, analytic dashboard, and business dashboard in your model."
"As OpsBridge is a suite of products bundled together, you may find yourself paying for software functionality that you don't actually use, e.g. Real User Monitor (RUM)."
"The cost is very high."

Popular Use Cases

OpenText AI Operations Management is primarily utilized for monitoring hybrid infrastructures, integrating AWS, GCP, and on-premises environments. Organizations employ it to consolidate multiple monitoring tools and dashboards, centralize event management, and automate incident handling. Additionally, it facilitates server and application monitoring, integrates with service desks for ticket creation, and provides event correlation to reduce event volume, improving response times and assisting in identifying root causes efficiently.

Service and Support

OpenText AI Operations Management receives mixed responses on support and service. Some praised customer service as excellent, while others noted offshore technical support challenges. Response times vary; some cases resolved quickly, others slowly. Experience ranges from positive to inadequate, with dedicated support proving effective for some. Issues with unresolved cases and resource gaps were mentioned, while higher-level support improved experiences. Overall, users highlight the need for more skilled personnel and faster resolutions.

Deployment

The initial setup of OpenText AI Operations Management varied in complexity. Some found it straightforward with proper planning and architecture, while others encountered challenges due to network design and inadequate documentation. Integration with existing systems often increased complexity, requiring specialized skills. Deployments could take weeks or months, especially in greenfield implementations. Containerization improved deployment ease. Despite complexities, many appreciated the insights provided into infrastructure, though some wished for better administrative training resources.

Scalability

OpenText AI Operations Management handles scalability well, accommodating large deployments and user bases without significant issues. Users report it can manage extensive infrastructure and expand capabilities easily, though some find it requires configuration adjustments. While suitable for diverse environments, it involves manual work for mapping and configuration. It supports various data sources, evolving needs, and is capable of scaling with business growth. Some challenges exist with performance and event filtering, but it remains adaptable and efficient.

Stability

Users find OpenText AI Operations Management to be stable but acknowledge some issues. Earlier software versions had stability concerns, yet recent updates have improved this significantly. Stability is influenced by factors beyond the software itself, like environment changes or improper module integration. Several responses highlight that while stability can vary, many experience satisfactory performance. Frequent engagement with support and proper configurations enhance stability, addressing unexpected behaviors in complex setups. Users consistently recognize the software's maturity.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our OpenText AI Operations Management Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

12%

Computer Software Company

11%

Non Profit

Government

Healthcare Company

Media Company

Insurance Company

Real Estate/Law Firm

University

Construction Company

Comms Service Provider

Educational Organization

Retailer

Legal Firm

Logistics Company

Hospitality Company

Performing Arts

Energy/Utilities Company

Transportation Company

Outsourcing Company

Recreational Facilities/Services Company

Pharma/Biotech Company

Consumer Goods Company

Compare OpenText AI Operations Management with alternative products

Learn more about OpenText AI Operations Management

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?

Event Correlation: Integrates and correlates event data for improved incident response.
Centralized Alerts: Raises alerts efficiently to streamline IT operations.
Comprehensive Dashboard: Consolidates information for better visibility.
Hybrid Cloud Support: Manages AWS, GCP, and on-premises environments.
Automation: Enhances operations with server automation and performance management.

What benefits do users find with OpenText AI Operations Management?

Operational Efficiency: Streamlines IT processes for quicker issue resolution.
Transparency: Offers robust reporting and data centralization for clarity.
Resource Management: Improves management of IT resources and service perspectives.
Scalability: Accommodates growth with flexible architecture.
Noise Reduction: Decreases event noise to enhance response efficiency.

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.

OpenText AI Operations Management was previously known as Micro Focus Operations Bridge, Operations Bridge Manager, Micro Focus Operations Analytics.