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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

"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 business analytics capabilities are the most important feature it provides."
"The initial set up is very easy...We really appreciate Amazon!"
"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."
"The stability of the product is good."
"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."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"IBM Security QRadar has positively impacted my organization by enabling me to mitigate many incidents and reduce manual tasks by up to 40%."
"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."
"The vulnerability management aspect is the most valuable feature."
"I think this is a good product for enterprises because of the performance and out-of-the-box rules and use cases. If they want to reach the maturity level early, they can use these out-of-the-box rules and use cases. That will help them a lot."
"The most valuable feature is the DSM Editor. The custom parsing tool is very nice, outstanding."
"In terms of the most valuable features, the log collections and log processing mechanisms are good."
"It integrates very easily with other solutions, the solution is flexible, and we can add anything to it, as it is a good companion to other tools."
"The QNI feature is the one I am very interested in, and I have also been interested in Watson, and from the log analysis and the security perspective, we are able to dive deep into any of the logs and anomalies."
 

Cons

"The configuration should be more straightforward because we had to select a lot of things."
"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."
"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."
"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."
"As a user, lower prices or reasonable pricing is always better."
"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."
"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."
"I would like for Yara to be supported by all components."
"It needs more resilience and functionality."
"There are many types of AI, and this AI is very limited in SQL and features. There may be potential for improvement."
"IMB should reduce the pricing, or reduce some of the features for a more economical solution for the customer."
"We experienced some memory usage issues with a user behavior app."
"In terms of some of the IBM support we recently have received, we've had some issues. While it should be 24/7 support, sometimes we have to wait an extended period."
"The solution can be improved by lowering the cost and bettering their technical support."
"Their support is very slow, and it is very difficult to find knowledgeable people within IBM."
 

Pricing and Cost Advice

"You only pay for what you use."
"Compared to other cloud platforms, it is manageable and not very expensive."
"The solution is not expensive, but priced averagely, I will say."
"There is a community edition available and the price of the commercial offering is reasonable."
"It is expensive. It is not a product that I can provide for SMBs. It is a program that I can only provide for really large enterprises."
"It is overly expensive and overly complex in terms of licensing. They have many different appliances, which makes it extremely difficult to choose the technology. It is very difficult to choose the technology or QRadar components that you should be deploying. They have improved some of it in the last few years. They have made it slightly easy with the fact that you can now buy virtual versions of all the appliances, which is good, but it is still very fragmented. For instance, on some of the smaller appliances, there is no upgrade path. So, if you exceed the capacity of the appliance, you have to buy a bigger appliance, which is not helpful because it is quite a major cost. If you want to add more disks to the system, they'll say that you can't."
"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."
"IBM's Qradar is not for small companie. Unfortunately, it would be 'overkill' to place it plainly. The pricing would be too much."
"I think my company pays for the license yearly."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate IBM Security QRadar's pricing a five out of ten."
"We pay approximately $40,000 to use the solution annually. This solution is a lot less expensive than Splunk."
"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."
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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
7%
 

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: April 2026.
890,071 professionals have used our research since 2012.