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Gigamon Deep Observability Pipeline vs OpenText AI Operations Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 2025

Review summaries and opinions

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

ROI

Sentiment score
4.8
Gigamon Deep Observability Pipeline boosts productivity and efficiency through reduced troubleshooting, improved security visibility, and optimized resource management.
Sentiment score
5.6
Organizations experience differing returns on OpenText AI Operations, with up to 90% gains from module integration and orchestration.
 

Customer Service

Sentiment score
5.4
Gigamon Deep Observability Pipeline's technical support is generally praised, though outsourced support presents challenges for some users.
Sentiment score
5.1
OpenText AI Operations Management's customer service is responsive, but technical support quality varies due to offshoring and time zone issues.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
Senior Relationship Banker at Joint stock Commercial Bank for Foreign Trade of V
OpenText goes out to bring the right people to answer any inquiries I have.
Data Platforms Manager at a media company with 5,001-10,000 employees
My team works with the customer success team for technical support and customer service for OpenText AI Operations Management.
Product Line Manager at a tech consulting company with 11-50 employees
 

Scalability Issues

Sentiment score
6.5
Gigamon Deep Observability Pipeline excels in scalability, especially in cloud environments, accommodating large deployments with ease and flexibility.
Sentiment score
7.4
OpenText AI Operations excels in managing large-scale deployments, supporting diverse infrastructures with some performance tuning required.
The stability and scalability depend on architectural considerations and the company's specific situation.
Product Line Manager at a tech consulting company with 11-50 employees
 

Stability Issues

Sentiment score
7.2
Gigamon Deep Observability Pipeline delivers stable, reliable performance in data centers, with high ratings despite minor issues in older systems.
Sentiment score
6.9
OpenText AI Operations Management is generally stable and reliable, with minor issues during upgrades and environmental changes.
We are following approximately 10,000 metrics and logs, and the platform performs pretty well.
Product Line Manager at a tech consulting company with 11-50 employees
 

Room For Improvement

Gigamon Deep Observability Pipeline needs security enhancements, improved GUI, better performance, cloud support, and easier setup and hardware handling.
OpenText AI Operations Management needs scalability, UI improvements, simplified licensing, better integration, enhanced support, and cost-effective solutions.
You need to see the big picture and understand what the customer's pain points are to find the right tuning.
Product Line Manager at a tech consulting company with 11-50 employees
Splunk is more business-friendly due to its prettier interface.
Data Platforms Manager at a media company with 5,001-10,000 employees
 

Setup Cost

Gigamon Deep Observability Pipeline is often seen as expensive, but pricing perceptions vary based on needs and roles.
OpenText AI Operations Management is costly initially but offers flexible pricing, automation benefits, and moderate affordability despite complexity.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
Data Platforms Manager at a media company with 5,001-10,000 employees
 

Valuable Features

Gigamon Deep Observability Pipeline improves network visibility, performance, and security through advanced traffic analysis, integration, and process efficiencies.
OpenText AI Operations Management enhances IT efficiency with integration, event correlation, automation, anomaly detection, scalability, and customizable dashboards.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
Senior Relationship Banker at Joint stock Commercial Bank for Foreign Trade of V
This integration ensures that when monitoring systems alert and subsequently resolve, tickets are automatically created and closed.
Data Platforms Manager at a media company with 5,001-10,000 employees
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 Line Manager at a tech consulting company with 11-50 employees
 

Categories and Ranking

Gigamon Deep Observability ...
Ranking in Event Monitoring
11th
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Application Performance Monitoring (APM) and Observability (39th), Data Loss Prevention (DLP) (32nd), Security Information and Event Management (SIEM) (43rd), Web Application Firewall (WAF) (31st), Advanced Threat Protection (ATP) (26th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (16th)
OpenText AI Operations Mana...
Ranking in Event Monitoring
7th
Average Rating
7.8
Reviews Sentiment
6.3
Number of Reviews
49
Ranking in other categories
IT Operations Analytics (7th), Cloud Monitoring Software (20th)
 

Mindshare comparison

As of January 2026, in the Event Monitoring category, the mindshare of Gigamon Deep Observability Pipeline is 1.7%, up from 0.4% compared to the previous year. The mindshare of OpenText AI Operations Management is 7.6%, up from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Event Monitoring Market Share Distribution
ProductMarket Share (%)
OpenText AI Operations Management7.6%
Gigamon Deep Observability Pipeline1.7%
Other90.7%
Event Monitoring
 

Featured Reviews

TN
Senior Relationship Banker at Joint stock Commercial Bank for Foreign Trade of V
Experience boosts operational efficiency while performance sees room for improvement
I don't have specific information on whether it was purchased on the AWS marketplace or somewhere else. I am working with Dynatrace Operator. I am also working with Algosec, Alluvio, CrowdStrike, Firemon, Gigamon Deep Observability Pipeline, and other solutions. I think it's a good tool, and I am satisfied with it. We have not stored cloud workloads with Gigamon Deep Observability Pipeline yet; we are still on-premises. The technical support takes about one to two hours to respond, which is acceptable. I am satisfied with the scalability of the product. The interface is good.
reviewer2060121 - PeerSpot reviewer
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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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
11%
Healthcare Company
8%
Manufacturing Company
7%
Financial Services Firm
11%
Manufacturing Company
11%
Performing Arts
9%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise7
Large Enterprise35
 

Questions from the Community

What do you like most about Gigamon Deep Observability Pipeline?
The most valuable feature for improving network visibility with Gigamon is the packet filtering capability.
What needs improvement with Gigamon Deep Observability Pipeline?
Gigamon Deep Observability Pipeline needs to improve its performance. I face issues with performance because we use SPAN, and the SPAN traffic is not good. They need to improve their performance.
What is your primary use case for Gigamon Deep Observability Pipeline?
I am working with Gigamon Deep Observability Pipeline and Firemon, and I have been working with it for a year.
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...
What needs improvement with Micro Focus Operations Bridge?
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...
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...
 

Also Known As

Gigamon, GigaSecure
Micro Focus Operations Bridge, Operations Bridge Manager, Micro Focus Operations Analytics
 

Overview

 

Sample Customers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
GE Money Bank, Bank AlJazira, Tech Mahindra
Find out what your peers are saying about Gigamon Deep Observability Pipeline vs. OpenText AI Operations Management and other solutions. Updated: December 2025.
879,443 professionals have used our research since 2012.