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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

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"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."
"Our customers have seen tangible benefits from Amazon OpenSearch Service, especially in terms of their applications running smoothly, so they do get a return on investment."
"The customer service is excellent, rated nine out of ten."
"It's a good log management platform. In terms of infrastructure management, it's good."
"The business analytics capabilities are the most important feature it provides."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"The most valuable feature is the integration with the GRD, for banking."
"It can analyze event logs, event security, and give a good consult."
"I would rate IBM Security QRadar nine out of ten."
"IBM QRadar User Behavior Analytics's most important feature is its ease of use."
"We can easily monitor many things using this tool."
"The query search and log fetching are really helpful in IBM Security QRadar when compared to other tools."
"It is a very good SIEM."
"Log correlation is very useful for processing alerts. It serves to follow up alerts in real-time, building an entire workflow."
 

Cons

"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."
"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."
"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."
"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."
"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."
"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."
"As a user, lower prices or reasonable pricing is always better."
"I have noticed the interface has room for improvement."
"The product is good, but one feature they should have is an Elasticsearch. Currently, in QRadar, there are no Elasticsearch criteria."
"SOAR is what is expected the most from QRadar. They have something called SOAR Resilient, and it would be great if that gets induced in SIEM. IBM QRadar (as well as McAfee ESM) should have analytics platform integration. Currently, SIEMs don't have full-fledged integration with analytics where we are able to dump our data in SIEM, and the same data can be called from different analytics applications. We should be able to bring this data to a platform like Hadoop for big data and run the analytics there. Currently, people are seeing the past data and taking some actions in the present, but when it comes to analytics, there should be futuristic data where you can predict something out of your present and past data. Apart from that, I would like to see a full-fledged ITSM tool in QRadar. It sometimes has some technical issues that need to be checked. It requires a dedicated QRadar engineer to completely manage it. It has different module sets, such as event collector and event processor, and some technical glitches come in between. It takes the log but doesn't exactly process it in the way we want."
"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."
"Pricing model could be more cost-effective."
"IBM is going through some problems with its resources currently making its support response time slow."
"The only challenge with products like IBM is the EPS. You just have to be really on the events per second, as that's where the cost factor becomes a huge issue."
"The Indian tech support is not helpful."
 

Pricing and Cost Advice

"The solution is not expensive, but priced averagely, I will say."
"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's pricing is based on the EPS model."
"We use QRadar as a managed service and we pay licensing fees to the partner."
"The tool's on-premise version is expensive. However, it is cheaper than Splunk. The hybrid model offers shared instances for customers, which is not expensive. Customers with a limited budget can opt for it. You can get premium support with licenses. However, if you need customized integration, you need to buy it."
"think the pricing is quite flexible."
"It is a perpetual license that we have for the event collector. The licensing is done based on the number of events and flows that you receive on this particular device. These are perpetual licenses, which means once you purchase them, they don't expire, which means that the support to IBM is definitely renewed after every one year. We have an enterprise agreement with IBM, which puts the cost in a totally different category as compared to someone who is not an IBM partner and is approaching IBM for this solution. We were able to get massive discounts. To give you an idea, we recently purchased 30,000 event licenses, and it costs around $480,000. It is definitely not a cheap product. We have licenses for about 270,000 events per second and 3 million flows per second. All the appliances and their events and flows are basically clubbed together and charged or rather calculated through a single source. The console receives all the details from all the event processes that we have globally. So, the license that we have is a single license for 270,000 events per second and 3 million flows per second, but that can be managed centrally. I was only part of the secondary purchase, which was 30,000 events per second for about $480,000. You can calculate how much we paid for 270,000 events. Reducing its price would be a compromise. We have already used a lower-priced product in the form of NNT, but we had to get rid of it because it was not doing the job that we actually wanted to do. You get what you pay for."
"QRadar's price is reasonable compared to LogRhythm."
"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."
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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
11%
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: December 2025.
881,565 professionals have used our research since 2012.