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Amazon OpenSearch Service vs IBM Security QRadar 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 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 (24th), Search as a Service (4th)
IBM Security QRadar
Ranking in Log Management
6th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
218
Ranking in other categories
Security Information and Event Management (SIEM) (2nd), User Entity Behavior Analytics (UEBA) (3rd), Endpoint Detection and Response (EDR) (11th), Security Orchestration Automation and Response (SOAR) (5th), Managed Detection and Response (MDR) (7th), Extended Detection and Response (XDR) (10th)
 

Mindshare comparison

As of July 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.5%, down from 2.7% compared to the previous year. The mindshare of IBM Security QRadar is 4.3%, up from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
IBM Security QRadar4.3%
Amazon OpenSearch Service1.5%
Other94.2%
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

"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"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."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"It's a good log management platform. In terms of infrastructure management, it's good."
"AWS has now made our life easy."
"The customer service is excellent, rated nine out of ten."
"Senses, tracks, and links significant incidents and threats."
"The most valuable aspect of the solution is the integration capabilities on offer."
"With QRadar, you can do all these, even if you are not a security expert."
"I am fond of IBM Security QRadar because it is very user-friendly."
"IBM has everything you need in a cybersecurity solution. If you want to build a cybersecurity operation center version then I think QRadar is a perfect solution."
"IBM Security QRadar has inbuilt components for assessing artificial intelligence and machine learning capabilities that we are currently utilizing."
"QRadar is helping us to identify ongoing, day-to-day threats and analyze the risk in our environment, including user behaviors, and we can easily monitor many things using this tool."
"Most of our clients are interested in automation. The automation part is good because they are able to detect threats and vulnerabilities in real time. It's very fast."
 

Cons

"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."
"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."
"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."
"They can enhance data visualization."
"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."
"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."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"Technical support is good. It's not great, it's good."
"I would like to see the update process simplified."
"The solution does not support the integration of flat file databases."
"The tool is very complicated. One place for improvement would be to have a more user-friendly interface. Having better support in Spanish would be cool."
"I'm not sure about the stability just yet. We've observed a few issues and we raised a supporting ticket for it."
"If you have too many events that occur, then the storage capacity becomes a problem. You need to have more storage."
"We actually have very few use cases and there were lots of false positives with QRadar."
"Sometimes it takes time to load queries, but other than that, it performs excellently."
 

Pricing and Cost Advice

"Compared to other cloud platforms, it is manageable and not very expensive."
"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."
"You only pay for what you use."
"think the pricing is quite flexible."
"In terms of additional costs, it depends on the subscription that you choose. There are plenty of options to choose from."
"Only enterprise businesses can afford the tool."
"The license is not subscription-based."
"There is a license required for this solution."
"There is an annual license required for this solution."
"The tool is priced in a competitive manner. The tool's price is dependent on the installation and the product size, but it is competitive in the marketplace."
"Its price is good in terms of efficiency and the number of people required for implementing various things. You might pay more in terms of money, but you might save on the number of people. For example, if you are using Kibana, you have to pay more for people or experts, which is not the case with IBM QRadar."
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Use our free recommendation engine to learn which Log Management solutions are best for your needs.
902,988 professionals have used our research since 2012.
 

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
16%
Manufacturing Company
10%
Computer Software Company
10%
Government
6%
Financial Services Firm
12%
Computer Software Company
10%
Construction Company
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise4
By reviewers
Company SizeCount
Small Business92
Midsize Enterprise39
Large Enterprise107
 

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 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: June 2026.
902,988 professionals have used our research since 2012.