Try our new research platform with insights from 80,000+ expert users

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) (6th), Extended Detection and Response (XDR) (11th)
 

Mindshare comparison

As of March 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

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"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 actually easier to collaborate since it is already deployed in the AWS cloud itself."
"It's a good log management platform. In terms of infrastructure management, it's good."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"The most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"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."
"The most valuable feature is the integration with the GRD, for banking."
"The most valuable feature currently is security behaviors and the pdf files."
"I like the graphical interface. It's so good and easy."
"The feature that I have found most valuable is its artificial intelligence component, Watson. Its contribution is pretty good from a machine-learning artificial intelligence perspective. This compliments the orchestration automation component, as well."
"It allows us to search data both on-premises and on the cloud."
"Senses, tracks, and links significant incidents and threats."
"It does good correlation for events. It does good general analysis, and it has good apps as well."
"The best part of this solution is having a third-party SOC."
 

Cons

"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."
"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."
"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."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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."
"The user interface needs improvement."
"I would like for them to develop a detection management solution. It does not have a detecting management solution in it, you have to buy it as it is, on top of the extended solution."
"I have noticed a few things while working on this. After the restart of the server, sometimes, the services misbehave, and you need to manually start or restart the service. I have seen that specifically with the Tomcat service. Sometimes, when you click on log sources, instead of opening the log source extension, it redirects you over the internet."
"There are a lot of things they are working on and a lot of technologies that are not yet there. They should probably work out a better reserve with their ecosystem of business partners and create wider and more in-depth qualities, third-party tools, and add-ons. These things really give immediate business value. For instance, there are many limitations in using SAP, EBS, or Micro-Dynamics. A lot of things that are happening in those platforms could also be monitored and allowed from the cybersecurity risks perspective. IBM might be leaving this gap or empty space for business partners. Some larger organizations might already be doing this. It would be very nice if IBM can make some artificial intelligence part free of charge for all current QRadar users. This would be a big advantage as compared to other competitors. There are companies that are going in different directions. Of course, you can't do everything inside QRadar. In general, it might be very good for all players to provide more use cases, especially regarding data protection and leakage prevention. There are some who are already doing some kind of file integrity or gathering some more information from all possible technologies for building anything related to the user and data analysis, content analysis, and management regarding the data protection."
"A lot of information that we receive for the devices is IP-based, but it would help if we could have a default dashboard in which we can add more details about the assets for which we are receiving the information. For example, if it is a Windows or Linux device, we only get the IP for that particular device. We don't really get the name and other details of that particular device. For that, you have to drill down into your own asset management system. It would be good to have a place where we can probably add this information so that we don't have to look into other tools."
"QRadar log integration of various applications can be a tough job at times. There may be occasions when you will not find any QRadar guide on adding logs of a particular application. Even if you come across one, adding a log process is not an easy one."
"The threat detection needs improvement, they have many false positives."
 

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 would be great if this product were cheaper."
"I think my company pays for the license yearly."
"There is an annual license required for this solution."
"On a scale of one to ten, I rate the price a one, where one is an extremely expensive product, and ten is a cheap product."
"The licensing is also overly complex, as there is a need to buy the work load performance monitoring separately."
"think the pricing is quite flexible."
"It's too expensive."
"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."
report
Use our free recommendation engine to learn which Log Management solutions are best for your needs.
884,797 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
15%
Manufacturing Company
10%
Computer Software Company
10%
Government
7%
Computer Software Company
12%
Financial Services Firm
10%
Manufacturing Company
8%
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: March 2026.
884,797 professionals have used our research since 2012.