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Amazon OpenSearch Service vs Cross-Enterprise Application Performance Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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

Amazon OpenSearch Service
Ranking in Application Performance Monitoring (APM) and Observability
24th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Log Management (19th), Search as a Service (4th)
Cross-Enterprise Applicatio...
Ranking in Application Performance Monitoring (APM) and Observability
85th
Average Rating
6.6
Reviews Sentiment
6.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.0%, down from 2.0% compared to the previous year. The mindshare of Cross-Enterprise Application Performance Management is 0.4%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Amazon OpenSearch Service1.0%
Cross-Enterprise Application Performance Management0.4%
Other98.6%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Md. Shahariar Hossen - PeerSpot reviewer
Senior Software Engineer at Cefalo
Event tracking has become smoother and data analytics provide clear insights for user actions
Amazon OpenSearch Service is not providing the processing feature directly. From Amazon OpenSearch Service, we are actually maintaining the AWS SQS, the queue service, which is responsible for providing information about what data has to be modified. So using that SQS, we're actually providing it, but we're not directly using Amazon OpenSearch Service for keeping data to other data pipeline thing. So far we didn't use it for any machine learning purposes, but in future, we have plans to extend or implement this feature. Since AWS itself is secure and Amazon OpenSearch Service is a part of this entire ecosystem, it becomes much easier for security purposes. From the validation point of view, Amazon OpenSearch Service itself provides easy to communicate APIs and up-to-date documents, which is much beneficial. For example, if I'm missing anything, I can directly go and check the documentation. That is actually much easier. I would rate it as really good so far. It's much faster. For our local machine, we can also use a kind of replica of Amazon OpenSearch Service just for development purposes. That is another good feature. I would say for the encryption thing and also the user access control management, it's much faster. For some of these hashing algorithms, it also worked really well so far. To be honest, I didn't find any places where it can be improved. However, I think they could provide more abstraction. For example, still for searching, we have to write down the queries in a specific manner, such as for a specific JSON structure or in a specific way. Otherwise, they don't provide us the actual results. For at least this purpose, I think abstraction could be a bit easier or a bit improved. Other than that, right now there is the age of AI, so some kind of prompting could also work, but I'm not sure how it could be integrated. As a user, lower prices or reasonable pricing is always better. Those can be improved as well. However, it is good that most of the services including Amazon OpenSearch Service actually provide pay as you go pricing. So if there were a bit lower version or a bit less payment methodology, it might be much better.
Mohammed  Shahpoup - PeerSpot reviewer
Senior Deputy Manager, ITSM Architect at ICT Misr
Offers a great reporting experience, with much customization and flexibility in extracting reports but it can be more user-friendly
My experience indicates that it needs enhancements in the UI. We are in 2024, and the GUI doesn't meet current expectations for user interfaces or Excel integration. Mainly, CA Service Desk has such a bad user interface. All features and systems, like servers, should have a modern graphical user interface, but CA Service Desk remains classic and still uses a desktop-based interface. It doesn't add features easily; if you need additional functionality, you have to go through many steps. Competitors like ServiceNow, Micro Focus SMAX, and ManageEngine all have better user interfaces. This is the main solution that needs improvement. I am very satisfied with the modeling systems, the grid, and the existing features, except for the graphical user interface.

Quotes from Members

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

Pros

"The most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."
"It's a good log management platform. In terms of infrastructure management, it's good."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"AWS has now made our life easy."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"The customer service is excellent, rated nine out of ten."
"The stability of the product is good."
"We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage"
"All solutions from Broadcom are very easy to install."
"The documentation and the technical support are both quite good."
 

Cons

"Amazon Elasticsearch can improve the bullion in the near search and the ease of integration with Kibana. Additionally, there could be more flexibility in the configuration and documentation."
"I would say that, basically, the configuration part is an area with a shortcoming...Some upgradation is required on the configuration side so that we can get to use it."
"As a user, lower prices or reasonable pricing is always better."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become problematic."
"The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing."
"The configuration should be more straightforward because we had to select a lot of things."
"They lack support and presence in Egypt."
"The UI could be better. When I look at the dashboard, for example, the information looks cluttered and unorganized."
"There is still a lot of improvement that is needed in terms of stability. We figured out that it was not able to monitor or offer some forms of self-service capabilities."
 

Pricing and Cost Advice

"There is a community edition available and the price of the commercial offering is reasonable."
"The solution is not expensive, but priced averagely, I will say."
"Compared to other cloud platforms, it is manageable and not very expensive."
"You only pay for what you use."
"I would rate the pricing a three out of ten, with ten being expensive. So, it is rather cheap."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
10%
Government
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise4
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon OpenSearch Service?
I would consider the pricing as a six based on how much data we are handling; if we handle minimal data, it's cheap, but for large data, it becomes costly. Our clients usually pay between $1,000 to...
What needs improvement with Amazon OpenSearch Service?
Amazon OpenSearch Service is not providing the processing feature directly. From Amazon OpenSearch Service, we are actually maintaining the AWS SQS, the queue service, which is responsible for prov...
What is your primary use case for Amazon OpenSearch Service?
Amazon OpenSearch Service is a user-friendly version of Elasticsearch, as per my understanding. I have been using it for our volunteer management system where around 5,000 to 6,000 users are using ...
What is your experience regarding pricing and costs for Cross-Enterprise Application Performance Management?
I would rate the pricing a three out of ten, with ten being expensive. So, it is rather cheap. On a yearly basis, we pay $400,000. It is fixed, but it differs from year to year because we can add m...
What needs improvement with Cross-Enterprise Application Performance Management?
My experience indicates that it needs enhancements in the UI. We are in 2024, and the GUI doesn't meet current expectations for user interfaces or Excel integration. Mainly, CA Service Desk has suc...
What is your primary use case for Cross-Enterprise Application Performance Management?
At our bank, we have two teams: * one for Network Operations Center (NOC) and * another for administration and innovation. I am the technical lead in administration. For daily basis, the NOC team u...
 

Also Known As

Amazon Elasticsearch Service
CA Cross-Enterprise Application Performance Management
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
NIIT Technologies, Cetip Safeguards
Find out what your peers are saying about Amazon OpenSearch Service vs. Cross-Enterprise Application Performance Management and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.