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Amazon OpenSearch Service vs IBM Security QRadar 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 Log Management
19th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Application Performance Monitoring (APM) and Observability (23rd), Search as a Service (3rd)
IBM Security QRadar
Ranking in Log Management
7th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
219
Ranking in other categories
Security Information and Event Management (SIEM) (3rd), User Entity Behavior Analytics (UEBA) (2nd), Endpoint Detection and Response (EDR) (15th), Security Orchestration Automation and Response (SOAR) (4th), Managed Detection and Response (MDR) (6th), Extended Detection and Response (XDR) (9th)
 

Mindshare comparison

As of February 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.2%, up from 1.8% compared to the previous year. The mindshare of IBM Security QRadar is 3.8%, down from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
IBM Security QRadar3.8%
Amazon OpenSearch Service2.2%
Other94.0%
Log Management
 

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.
HarshBhardiya - PeerSpot reviewer
SOC Engineer at a outsourcing company with 10,001+ employees
Have managed daily asset and alert monitoring effectively but have encountered limitations with manual processes and interface usability
It's still very manual and doesn't work on its own. It's still in an early stage and not on par where we can consider it a really successful detection system. The accuracy is not there. The UI could be better when compared to Sentinels where we can use flags and tagging. It could be much more user-friendly. IBM Security QRadar has all features and is fully competitive with other SIEM tools, but when it comes to user-friendliness, a new user takes time to get used to it. More intuitive, user-friendly interfaces and more helpful documentation would be beneficial. The query searching and data fetching could be faster. In large to very large organizations with around 5,000 or 6,000 assets or beyond, even with proper configurations and RAM and hardware backing up, the query is fairly slow.

Quotes from Members

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

Pros

"The business analytics capabilities are the most important feature it provides."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"The initial set up is very easy...We really appreciate Amazon!"
"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"
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable."
"The customer service is excellent, rated nine out of ten."
"My overall rating for this solution is nine out of ten."
"It saves a lot of time. We integrate the customer's firewall with all their networking devices."
"It protect us from multiple authentication values, unauthorized access and antivirus threats."
"It can analyze event logs, event security, and give a good consult."
"Vulnerability data, network data and the like, are part of correlation and detection."
"QRadar UBA's most valuable feature is the risk rating of users depending on their behavior."
"One of the most valuable features is its ability to integrate with other solutions. IBM has a lot of solutions and we have managed to make it work with IBM BigFix and MaaS360, and even Microsoft."
"This console gives you the entire view, which makes life easier and allows you to take precautionary measures."
 

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."
"One improvement I would like to see is support for auto-scaling."
"One improvement I would like to see is support for auto-scaling."
"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."
"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."
"They can enhance data visualization."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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."
"The product can be a bit complex."
"QRadar log integration of various applications can be a tough job at times. There may be occasions when you will not find any QRadar guide on adding logs of a particular application. Even if you come across one, adding a log process is not an easy one."
"It's still very manual and doesn't work on its own. It's still in an early stage and not on par where we can consider it a really successful detection system."
"Each module requires a separate license and a separate cost."
"The dashboard is pathetic and it takes a long time to perform a search."
"The features that could be improved include the licensing model and the dashboards and all those presentations. Overall, the user experience part can be improved."
"The implementation and configuration are not easy."
"With IBM Security QRadar, my company faced issues with the support we received for the product."
 

Pricing and Cost Advice

"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."
"There is a community edition available and the price of the commercial offering is reasonable."
"The tool's price is high."
"The licensing is also overly complex, as there is a need to buy the work load performance monitoring separately."
"The pricing is good."
"When it comes to the initial pricing there can be a huge discount from there side and also I think they are open to competing with other products."
"The solution comes with a high price tag, while some of the competitors provide identical functionality in their offerings at no extra cost."
"The solution is priced fairly, there is a license for the solution, and we pay annually."
"The solution has a licensing model that is based on events per second so it scales to need and budget."
"The solution is costly and the price differs depending on the vendor you use."
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Comparison Review

VS
Manager, Enterprise Risk Consulting at a tech company with 1,001-5,000 employees
Jun 28, 2015
Qradar vs. ArcSight
Continuing with the SIEM posts we have done at Infosecnirvana, this post is a Head to head comparison of the two Industry leading SIEM products in the market – HP ArcSight and IBM QRadar Both the products have consistently been in the Gartner Leaders Quadrant. Both HP and IBM took over niche SIEM…
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
10%
Manufacturing Company
10%
Government
7%
Computer Software Company
13%
Financial Services Firm
10%
Manufacturing Company
7%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise3
By reviewers
Company SizeCount
Small Business91
Midsize Enterprise39
Large Enterprise105
 

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?
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 are the biggest differences between Securonix UEBA, Exabeam, and IBM QRadar?
It mostly depends on your use-cases and environment. Exabeam and Securonix have a stronger UEBA feature set, friendlier GUI and are not licensed based on capacity (amount of logs and information in...
What SOC product do you recommend?
For tools I’d recommend: -SIEM- LogRhythm -SOAR- Palo Alto XSOAR Doing commercial w/o both (or at least an XDR) is asking to miss details that are critical, and ending up a statistic. Also, rememb...
What is your experience regarding pricing and costs for IBM Security QRadar?
Pricing and the license of EPS were managed by the governance team. I was not responsible for managing those. I was supposed to put up the requirement of the license needed to integrate that amount...
 

Also Known As

Amazon Elasticsearch Service
IBM QRadar, QRadar SIEM, QRadar UBA, QRadar on Cloud, IBM QRadar Advisor with Watson
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Clients across multiple industries, such as energy, financial, retail, healthcare, government, communications, and education use QRadar.
Find out what your peers are saying about Amazon OpenSearch Service vs. IBM Security QRadar and other solutions. Updated: February 2026.
881,821 professionals have used our research since 2012.