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Elastic Observability vs OpenText AI Operations Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 19, 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
7.1
Elastic Observability enhances efficiency, reduces incidents, and provides cost-effective visibility, with benefits in data management and availability.
Sentiment score
6.6
OpenText AI Operations Management improves implementation speed by 30%, offering potential 90% efficiency with specific integrations and procedures.
 

Customer Service

Sentiment score
7.7
Elastic Observability users praise responsive, knowledgeable support, valuing quick problem-solving, though rely on documentation for added assistance.
Sentiment score
5.1
OpenText AI Operations customer service is praised, but technical support faces mixed reviews due to efficiency and expertise inconsistencies.
OpenText goes out to bring the right people to answer any inquiries I have.
 

Scalability Issues

Sentiment score
7.1
Elastic Observability offers scalable performance and ease of use, with user satisfaction varying based on specific implementations and preferences.
Sentiment score
7.4
OpenText AI Operations Management excels in scalability and adaptability for managing complex infrastructures and varying data sources.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
 

Stability Issues

Sentiment score
8.2
Elastic Observability is stable, efficiently handles analytics, and is well-regarded by users, though monitoring storage is recommended.
Sentiment score
6.9
OpenText AI Operations Management is stable and reliable, though improvements and better documentation are needed for some modules.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
 

Room For Improvement

Elastic Observability needs improved automation, ease of use, dashboard customization, advanced metrics, compatibility, and streamlined deployment processes.
OpenText AI Operations Management needs scalability, modern interface, better integration, improved automation, and streamlined licensing and support.
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.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
Splunk is more business-friendly due to its prettier interface.
 

Setup Cost

Elastic Observability offers cost-effective, flexible pricing for enterprises, though high-tier licensing may be expensive for smaller users.
OpenText AI Operations Management offers flexible pricing but can be complex and costly, requiring careful evaluation for smaller companies.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
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.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
 

Valuable Features

Elastic Observability enhances incident response with powerful search, centralized logging, machine learning, and scalable integration for seamless monitoring and alerting.
OpenText AI Operations offers integration, automation, centralized management, flexibility, scalability, and improved transparency for efficient alert handling.
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.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
This integration ensures that when monitoring systems alert and subsequently resolve, tickets are automatically created and closed.
 

Categories and Ranking

Elastic Observability
Ranking in Cloud Monitoring Software
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
27
Ranking in other categories
Application Performance Monitoring (APM) and Observability (7th), IT Infrastructure Monitoring (11th), Log Management (16th), Container Monitoring (4th)
OpenText AI Operations Mana...
Ranking in Cloud Monitoring Software
29th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
48
Ranking in other categories
Event Monitoring (8th), IT Operations Analytics (12th)
 

Mindshare comparison

As of June 2025, in the Cloud Monitoring Software category, the mindshare of Elastic Observability is 5.3%, down from 6.8% compared to the previous year. The mindshare of OpenText AI Operations Management is 0.4%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Monitoring Software
 

Featured Reviews

Adelina Craciun - PeerSpot reviewer
Customization enables tailored monitoring and alerting across departments
The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.
Ahmed Salman - PeerSpot reviewer
Powerful data integration, comprehensive automation, and hybrid compatibility
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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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
15%
Manufacturing Company
8%
Government
6%
Financial Services Firm
19%
Manufacturing Company
12%
Computer Software Company
11%
Non Profit
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 license for Elastic Observability is the same as for other uses; you pay for Elastic, and you can use it for various cases. Observability is actually cheaper compared to logs because you're not...
What needs improvement with Elastic Observability?
I think they are working on the AI-based features, which are currently in technical preview. The only challenging aspect for new users is often writing the query language. Basic searching is very e...
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?
The only aspect I find lacking in OpenText Operations Bridge is more aesthetic. The dashboards from OpenText Operations Bridge, when compared to those from Splunk, are less visually appealing. Splu...
What is your primary use case for Micro Focus Operations Bridge?
We use OpenText Operations Bridge ( /products/opentext-operations-bridge-reviews ) more from an event correlation perspective. We do not use it for pure monitoring since we have other monitoring to...
 

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: June 2025.
858,435 professionals have used our research since 2012.