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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 (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
217
Ranking in other categories
Security Information and Event Management (SIEM) (3rd), User Entity Behavior Analytics (UEBA) (2nd), Endpoint Detection and Response (EDR) (16th), Security Orchestration Automation and Response (SOAR) (4th), Managed Detection and Response (MDR) (8th), Extended Detection and Response (XDR) (11th)
 

Mindshare comparison

As of April 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.1%, up from 2.0% compared to the previous year. The mindshare of IBM Security QRadar is 4.0%, up from 3.9% 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 Service2.1%
Other93.9%
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

"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"It's a good log management platform. In terms of infrastructure management, it's good."
"The stability of the product is good."
"The initial set up is very easy...We really appreciate Amazon!"
"The business analytics capabilities are the most important feature it provides."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"The customer service is excellent, rated nine out of ten."
"Customer service is very good and very helpful."
"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."
"It is a bit easier to use than other products, such as Splunk or ELK Elasticsearch."
"The solution is relatively easy to use."
"The features that I have found most valuable in QRadar are its data enrichment, use case creations, and adding references - those kinds of features are very good. Also QRadar's event filtration and device integration are perfect."
"I would rate IBM Security QRadar nine out of ten."
"The way that the app has transformed over time is quite phenomenal."
"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."
 

Cons

"There is the problem with the database. Amazon only provides the host to run to our applications bias, but there is no option to manage the database within the Elasticsearch product."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"One improvement I would like to see is support for auto-scaling."
"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."
"They can enhance data visualization."
"The configuration should be more straightforward because we had to select a lot of things."
"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."
"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."
"Right now, if you look at the compatibility, if you need to deploy QRadar in a physical appliance you have only two choices of server, their own or a Lenovo server. In today's world, you cannot keep something tied to such a big brand. Clients want to be able to use whatever type of server they want."
"The threat detection needs improvement, they have many false positives."
"GUI needs to be improved."
"They should introduce some automation into the product."
"The AI engine could be smarter."
"Ideally we would like a mobile version so that any alert that comes in will notify us in a mobile app, or by using SMS integration."
"We actually have very few use cases and there were lots of false positives with QRadar."
"IBM Security QRadar’s GUI could be improved."
 

Pricing and Cost Advice

"You only pay for what you use."
"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."
"QRadar is quite expensive. It wouldn't be worth it for a small business..."
"It would be great if this product were cheaper."
"found other solutions, with more features at the same cost or less. You don’t have to leave the Gartner Magic Quadrant to beat their price."
"The price of this product is high."
"As for licensing costs, I haven't seen the exact figures, but it is considered somewhat costly. On a scale from one to ten, where one is very expensive and ten is very cheap, I would rate it a six—it’s costly but worth the money."
"The pricing is higher but cheaper than others and there are no additional costs."
"Pricing and licensing are competitive. Their new licensing options allow logs to bypass the correlation engine for a flat rate, which is also appealing for log data that is compliance-driven for a small amount of money."
"The price of this solution is reasonable."
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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
15%
Manufacturing Company
10%
Computer Software Company
10%
Government
7%
Financial Services Firm
11%
Computer Software Company
11%
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.
885,837 professionals have used our research since 2012.