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Amazon OpenSearch Service vs Avada Software Infrared360 comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 16, 2025

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
26th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Log Management (22nd), Search as a Service (3rd)
Avada Software Infrared360
Ranking in Application Performance Monitoring (APM) and Observability
76th
Average Rating
8.8
Number of Reviews
13
Ranking in other categories
Business Activity Monitoring (8th), Message Oriented Middleware (MOM) (13th), Server Monitoring (42nd)
 

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.6%, up from 1.2% compared to the previous year. The mindshare of Avada Software Infrared360 is 0.4%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Amazon OpenSearch Service1.6%
Avada Software Infrared3600.4%
Other98.0%
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.
WK
ICT Architect at a tech services company with 51-200 employees
Role-based access to queues, giving us more insights into problems
* We now have the possibility of getting a central perspective on all tenants. * We have defined access roles for developers. Therefore, they can 'read in' their queues on the development and testing stages. With special roles, they may also write. This improves our development and testing cycle. * For operative systems, we have restricted the access. Still, selected people can react if something is happening in the various BOQs.

Quotes from Members

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

Pros

"In case there is a failure, Elastic manages everything well, and there no major downtime."
"The initial set up is very easy...We really appreciate Amazon!"
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"The business analytics capabilities are the most important feature it provides."
"The customer service is excellent, rated nine out of ten."
"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."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"It allows non-technical users to inspect their individual components within the total infrastructure without disturbing other components and without bothering the technical teams."
"The administration piece makes it very easy to do MQ administration. It gives us a lot more flexibility and capabilities."
"Monitoring that ties into our incident management system"
"We have easily created use case testing harnesses for specific flows that incorporate various message types."
"It has role-based access to queues, giving us more insights into problems."
"It's what we use for monitoring our MQ system, so the features that they provide are just really, really good."
 

Cons

"We faced documentation challenges during integration after migrating from Elasticsearch to Amazon OpenSearch Service. Better documentation on integration, query handling, and a more user-friendly UI could enhance the product."
"It would be beneficial to have some level of customization available in the managed service, tailored to the specific use cases of the end users."
"The configuration should be more straightforward because we had to select a lot of things."
"In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle the data."
"One improvement I would like to see is support for auto-scaling."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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."
"As a user, lower prices or reasonable pricing is always better."
"One area where they could improve is with their documentation. Some sections are not up to date with new release information and providing additional samples in some areas would be very helpful."
"We are still working with the FTE/MFT subscription monitoring and reporting functionality. That is an area in which we would like to see further development taking place."
"The user interface could be sexier and more ergonomic. The competing products have similar problems."
"Some of the graphics in the interface could be improved. It's pretty basic. Some interfaces are not up to what you're used to seeing on other, more Windows-like tools."
"We desire a dashboard that could accumulate BOQ lengths per tenant on one screen for all tenants."
"The UI can be cumbersome - but we are still using the Viper interface and we have not had the time to check out the Alloy interface which is supposed to be much improved."
 

Pricing and Cost Advice

"The solution is not expensive, but priced averagely, I will say."
"You only pay for what you use."
"There is a community edition available and the price of the commercial offering is reasonable."
"Compared to other cloud platforms, it is manageable and not very expensive."
"Our internal budget calculation model incorporates the pricing per endpoint for any new projects. However, as our footprint for distributed queue managers shrinks as part of our shared middleware hub deployment, the initial licensing and support costs have been reduced over the last five years."
"Because the licensing is at the QMGR level, you need to have at least a small cushion of licenses for occasional enterprise needs."
"Start small, then increase licensing later as per your demand."
"Avada Software's licensing metric is very good because the license fees are based on the number of connections (which have not increased for us very much over the years) rather than the CPU processing power (which increases significantly whenever our hardware is upgraded) or the number of users (which has increased for us a lot since our original purchase)."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
11%
Manufacturing Company
10%
Government
7%
Financial Services Firm
31%
Manufacturing Company
12%
Printing Company
10%
Performing Arts
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise2
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise5
 

Questions from the Community

What do you like most about Amazon OpenSearch Service?
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
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?
In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle t...
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Also Known As

Amazon Elasticsearch Service
Infrared360
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
USBank, Southwest Airlines, Visiting Nurse Services of New York, Aon Hewitt, Parker Hannifin,  Cantonal Bank of Zurich (ZKB), Hagemeyer NA, and many others
Find out what your peers are saying about Amazon OpenSearch Service vs. Avada Software Infrared360 and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.