Micro Focus Asset Manager [EOL] vs OpenText AI Operations Management comparison

The compared Micro Focus Asset Manager [EOL] and OpenText AI Operations Management solutions aren't in the same category. OpenText AI Operations Management is ranked #5 in EM , with an average rating of 8.0, and holds a 7.7% mindshare. Additionally, 75% of Micro Focus Asset Manager [EOL] users are willing to recommend the solution, compared to 92% of OpenText AI Operations Management users who would recommend it.

Micro Focus Asset Manager [...

Read 4 Micro Focus Asset Manager [EOL] reviews

75% willing to recommend

OpenText AI Operations Mana...

Read 49 OpenText AI Operations Management reviews

3,881 Views
1,475 Comparison Views

92% willing to recommend

Micro Focus Asset Manager [...

OpenText AI Operations Mana...

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Executive Summary

We performed a comparison between Micro Focus Asset Manager [EOL] and OpenText AI Operations Management based on real PeerSpot user reviews.

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To learn more, read our detailed IT Asset Management Report (Updated: April 2026).

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IT Asset Management

April 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Micro Focus Asset Manager [...

Average Rating

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

OpenText AI Operations Mana...

Average Rating

7.8

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Event Monitoring (5th), IT Operations Analytics (5th), Cloud Monitoring Software (19th)

Featured Reviews

reviewer1700715

Software Asset Manager Lead at Boeing at a transportation company with 10,001+ employees

A stable and clever solution, but it is very complex and it needs a lot of improvements

There are a lot of things that need improvement. Software recognition, software licensing, software compliance, data inputs, reporting, and support are some of the areas. It needs a discovery tool of its own. You have to get that from other Micro Focus products, which means you have to pay more to get those products.

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reviewer2060121

Product Line Manager at a tech consulting company with 11-50 employees

Unified monitoring has improved event handling but needs stronger AI automation and modern dashboards

OpenText AI Operations Management could benefit from a fully integrated AI system, which we call AIOps. A fully integrated AI operations system would be valuable in the future. Additionally, the UI experience could be more comfortable. We are not using predictive features in OpenText AI Operations Management such as anomaly detection. In the future, we may be able to operate with our customer, but we need to decide this collectively. You need to see the big picture and understand what the customer's pain points are to find the right tuning. Normally, predictive features can be more useful, but this is an end-to-end solution that needs to be customized. You need to understand the exact customer needs. The predictive analytics feature is very close to being integrated, but it is not fully integrated at this time.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It is stable and scalable."

"This product can be customized according to the needs of any company."

"We have now automatic and immediate control of assets usage, and we can now better manage our assets pool and get benefits through that."

"It is stable and scalable."

"We are constantly using this product and we are constantly improving this product."

"Actually we have now automatic and immediate control of assets usage, and we can now better manage our assets pool and get benefits through that."

"The most important features are the flexibility of the product and the way that we can use it to ensure software compliance within our organization."

"HPE helped us aggregate, and we now have all these layers in one layer, so we are looking at the service from the core of it, not from a resource perspective or from an IT, servers-based perspective."

"Purely, its flexibility is the most valuable aspect."

"From our monitoring perspective or from a visibility perspective, HPE UCMDB is a must have; it's an amazing piece of software."

"For us, the most valuable features are the ability to identify IT issues in your estates and to be able to rectify them hopefully before they cause outages to services."

"It's very scalable and it does seem capable of accepting the volume."

"The implementation of Operation Manager made it possible to centralize the events of several supervision tools such as SiteScope, Network Node Manager or Nagios, and all the enrichment part allowed to reduce the processing time of support tickets because all the information was already present in the alarm."

"The event correlation is the most valuable aspect of the solution."

"I've found the solution to be very scalable."

More OpenText AI Operations Management pros

Cons

"The technology used is outdated, the interface is outdated, the database is outdated, everything is outdated."

"There are a lot of things that need improvement. Software recognition, software licensing, software compliance, data inputs, reporting, and support are some of the areas."

"The usability of this product is still out-of-date and could be improved. The interface could be improved."

"There are a lot of things that need improvement. Software recognition, software licensing, software compliance, data inputs, reporting, and support are some of the areas."

"Technical support is very frustrating because we have probably 12 or 15 years’ experience with the products."

"The technology used is outdated, the interface is outdated, the database is outdated, everything is outdated."

"The usability of this product is still out-of-date and could be improved. The interface could be improved."

"Remove the dependency of Java technology. This is a feature used for admin purposes to update the modeling."

"I think it could be improved with regard to response time, and getting the proper resources."

"For OMi, it's not stable enough to get an enterprise solution out of it."

"At times, there are performance and configuration issues."

"There are a lot of locked files, about a thousand. You cannot always find the correct information to solve an issue."

"We also need a better road map and a more affordable price."

"The dashboards from OpenText Operations Bridge, when compared to those from Splunk, are less visually appealing."

"The past year has not been very good in terms of technical support; there were long waits before replying, and very often we find the solution ourselves before the support engineers do."

More OpenText AI Operations Management cons

Pricing and Cost Advice

"From my experience, Asset Manager is expensive."

"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 licensing cost for this solution is approximately $1,000 USD."

"Pricing is very flexible and depends on the modules selected as per the requirement."

"Setup costs can be high depending on the partner, but it is worth it."

"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."

"It is competitive."

"The cost is very high."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

20%

Manufacturing Company

Construction Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	7
Large Enterprise	35

Questions from the Community

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What is your experience regarding pricing and costs for Micro Focus Operations Bridge?

From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours. What used to be done manually by a person is now done automatically. With its automation capabilities...

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What needs improvement with Micro Focus Operations Bridge?

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What is your primary use case for Micro Focus Operations Bridge?

I am not looking for a monitoring solution, but I am a product manager comparing some products based on research I conducted on the PeerSpot website regarding monitoring products such as Splunk, Ap...

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Product Reports

Buyer's Guide

IT Asset Management

April 2026

Download Micro Focus Asset Manager [EOL] product report

Buyer's Guide

OpenText AI Operations Management

April 2026

OpenText AI Operations Management report

Download OpenText AI Operations Management product report

Also Known As

Asset Manager, HPE Asset Manager

Micro Focus Operations Bridge, Operations Bridge Manager, Micro Focus Operations Analytics

Overview

HPE Asset Manager automates best practices across the asset management lifecycle and integrates processes into IT Infrastructure Library (ITIL) service support workflows including incident, problem, and change management to improve service quality and business outcomes.

OpenText

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?

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

Sample Customers

Finansbank, MTS India, Sprint

GE Money Bank, Bank AlJazira, Tech Mahindra

Find out what your peers are saying about ServiceNow, Lansweeper, Qualys and others in IT Asset Management. Updated: April 2026.

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We monitor all IT Asset Management 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.