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Amazon OpenSearch Service vs IBM Security QRadar comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 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 (25th), Search as a Service (3rd)
IBM Security QRadar
Ranking in Log Management
6th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
217
Ranking in other categories
Security Information and Event Management (SIEM) (3rd), User Entity Behavior Analytics (UEBA) (2nd), Endpoint Detection and Response (EDR) (12th), Security Orchestration Automation and Response (SOAR) (5th), Managed Detection and Response (MDR) (7th), Extended Detection and Response (XDR) (10th)
 

Mindshare comparison

As of April 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.8%, down from 2.3% compared to the previous year. The mindshare of IBM Security QRadar is 4.0%, up from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
IBM Security QRadar4.0%
Amazon OpenSearch Service1.8%
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

"The initial set up is very easy...We really appreciate Amazon!"
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"They have the good documentation in the help text and that is the reason the Amazon Elasticsearch is the perfect solution for the current market."
"The stability of the product is good."
"It's a good log management platform. In terms of infrastructure management, it's good."
"The customer service is excellent, rated nine out of ten."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"When you go for this solution, you are paying not only for the product but also for integration, good staff to help you, scalability, and many other things."
"Technical support has been very supportive."
"The threat protection network is the most valuable feature, because when you get an offense, you can actually trace it back to where it originated from, how it originated, and why."
"There are a lot of great out-of-the-box features included."
"The event collector, flow collector, PCAP and SOAR are valuable."
"IBM Security QRadar has impacted my organization positively by helping me with many things, including catching attacks and moving quickly to reduce damage or risk from attacks."
"The product provides a complete platform for ingesting the log, doing the correlations and handling the runtime."
"QRadar is much easier and takes less time to implement and maintain."
 

Cons

"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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."
"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."
"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."
"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."
"There is a problem with the database. Amazon only provides the hosting to run our applications bias, but there is no option to manage the database within the Elasticsearch product."
"I'm not sure about the stability just yet. We've observed a few issues and we raised a supporting ticket for it."
"We sometimes get an error about the hard drive. Approximately once in two months, we can't find the logs, and they go missing, which is a terrible issue. We are getting support for this issue from our support company."
"The solution is difficult to understand in the beginning and has complex management configurations that can be improved."
"The weak signal detection with QRadar needs improvement. You can detect what you know, but what is unknown to the rule engine can't be detected."
"There is a lot of manual configuration required in order for the product to run smoothly, and I think that it could be made more automatic."
"The solution could improve by having more out-of-the-box use cases."
"What needs to be improved in IBM QRadar User Behavior Analytics is the user experience. It's not optimal."
"The interface is very old. IBM should remake it into a more modern interface."
 

Pricing and Cost Advice

"You only pay for what you use."
"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."
"It's too expensive. The licensing is also a little bit difficult to understand because you have to license it per event and per number of flows."
"The cost of this product is expensive."
"It could be cheaper, but the value itself is far more important for us than the price. Typically, our clients have yearly subscriptions."
"They can give us some scalability and flexibility on pricing. If its pricing can be reduced, it would help a lot of customers in bringing in a new SIEM environment and grow business in the market. If I start a license today and take around 10,000 EPS, and after a month, there is an increase in the number of clients on my platform, I can increase the number of licenses. I can add 5,000 EPS on a yearly basis."
"In terms of additional costs, it depends on the subscription that you choose. There are plenty of options to choose from."
"Customers have to purchase a license based on the number of users, devices, and applications they want to protect. It allows you to take a license on a subscription basis for three years or five years."
"Most of the time, it is easier and cheaper to buy a new product or the QRadar box."
"IBM's Qradar is not for small companie. Unfortunately, it would be 'overkill' to place it plainly. The pricing would be too much."
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Use our free recommendation engine to learn which Log Management solutions are best for your needs.
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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
16%
Manufacturing Company
10%
Computer Software Company
10%
Government
7%
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
7%
Construction Company
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: March 2026.
886,011 professionals have used our research since 2012.