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Elastic Observability 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
6.5
Elastic Observability enhances cost-effectiveness by reducing incidents, automating fixes, and visualizing cloud operations, saving time and resources.
Sentiment score
5.6
Organizations experience differing returns on OpenText AI Operations, with up to 90% gains from module integration and orchestration.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
Technology Consultant at Hybrid software
 

Customer Service

Sentiment score
7.6
Elastic Observability customers appreciate their helpful support, quick responses, and valuable documentation, despite some challenges in complex issue resolution.
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.
Elastic support really struggles in complex situations to resolve issues.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Their excellent documentation typically helps me solve any issues I encounter.
Technology Consultant at Hybrid software
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
7.2
Elastic Observability is praised for scalability and ease of deployment, despite potential complexities and internal process limitations.
Sentiment score
7.4
OpenText AI Operations excels in managing large-scale deployments, supporting diverse infrastructures with some performance tuning required.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Technology Consultant at Hybrid software
Elastic Observability seems to have a good scale-out capability.
Chief Cloud Architect at a tech services company with 11-50 employees
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
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
8.2
Elastic Observability is stable and reliable, with high user ratings, efficiently handling large data volumes with proper configuration.
Sentiment score
6.9
OpenText AI Operations Management is generally stable and reliable, with minor issues during upgrades and environmental changes.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Product Owner at Swisscom
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Technology Consultant at Hybrid software
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

Elastic Observability needs automation, AI, and customization improvements, addressing complex deployment, market presence, metrics, licensing, and usability issues.
OpenText AI Operations Management needs scalability, UI improvements, simplified licensing, better integration, enhanced support, and cost-effective solutions.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
Senior Consultant at Skillfield
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Senior Technical Sales at a tech vendor with 1,001-5,000 employees
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Normally, predictive features can be more useful, but this is an end-to-end solution that needs to be customized.
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

Elastic Observability provides competitive pricing, benefiting large enterprises with comprehensive licensing, but may be costly for smaller users.
OpenText AI Operations Management is costly initially but offers flexible pricing, automation benefits, and moderate affordability despite complexity.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Product Owner at Swisscom
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Chief Cloud Architect at a tech services company with 11-50 employees
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Senior Consultant at Skillfield
From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours.
Data Platforms Manager at a media company with 5,001-10,000 employees
 

Valuable Features

Elastic Observability excels with flexible integration, powerful search, scalability, real-time insights, affordability, and robust support, enhancing efficiency.
OpenText AI Operations Management enhances IT efficiency with integration, event correlation, automation, anomaly detection, scalability, and customizable dashboards.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
Chief Cloud Architect at a tech services company with 11-50 employees
the most valued feature of Elastic is its log analytics capabilities.
Senior Technical Sales at a tech vendor with 1,001-5,000 employees
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
Product Owner at Swisscom
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

Elastic Observability
Ranking in Cloud Monitoring Software
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Application Performance Monitoring (APM) and Observability (6th), IT Infrastructure Monitoring (9th), Log Management (14th), Container Monitoring (4th)
OpenText AI Operations Mana...
Ranking in Cloud Monitoring Software
20th
Average Rating
7.8
Reviews Sentiment
6.3
Number of Reviews
49
Ranking in other categories
Event Monitoring (7th), IT Operations Analytics (7th)
 

Mindshare comparison

As of January 2026, in the Cloud Monitoring Software category, the mindshare of Elastic Observability is 3.0%, down from 6.7% compared to the previous year. The mindshare of OpenText AI Operations Management is 0.9%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Monitoring Software Market Share Distribution
ProductMarket Share (%)
Elastic Observability3.0%
OpenText AI Operations Management0.9%
Other96.1%
Cloud Monitoring Software
 

Featured Reviews

MA
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities
In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.
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
17%
Computer Software Company
14%
Manufacturing Company
9%
Government
6%
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 Business9
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise7
Large Enterprise35
 

Questions from the Community

What do you like most about Elastic Observability?
Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...
What is your experience regarding pricing and costs for Elastic Observability?
The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...
What needs improvement with Elastic Observability?
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...
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

No data available
Micro Focus Operations Bridge, Operations Bridge Manager, Micro Focus Operations Analytics
 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
GE Money Bank, Bank AlJazira, Tech Mahindra
Find out what your peers are saying about Elastic Observability vs. OpenText AI Operations Management and other solutions. Updated: December 2025.
879,455 professionals have used our research since 2012.