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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

"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"The stability of the product is good."
"The business analytics capabilities are the most important feature it provides."
"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."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"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."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"The initial setup of QRadar is not complex because we have done it before and we are used to the development. It is getting easier all the time."
"Since using IBM Security QRadar, it has helped reduce security risks as we have a risk manager module, which is really helpful for us, and the response to an incident is very quick, so we have reduced the mean time to detect attacks."
"In addition to using this solution for our security operations center, we are using it for our other customers."
"The tool's most valuable feature is log source management. It enables us to connect to various log sources, including content, authentications, or other customized integrations. These integrations can be tailored for use with other platforms that don’t already have built-in IBM add-ons."
"The QNI feature is the one I am very interested in, and I have also been interested in Watson. From the log analysis and the security perspective, we are able to dive deep into any of the logs and anomalies."
"I have found IBM QRadar to be stable."
"One very useful feature is the plug-in offering that allows you to integrate it with other solutions, such as integrating it with plug-ins like Scout, Carbon Black, and the rest."
"The flexibility is good in terms of pulling log files."
 

Cons

"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."
"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."
"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."
"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."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"There should be easier and wider integration opportunities. There should be more opportunities for integration with CTI info sharing areas. On platforms where you exchange CTI, there should be more visibility connected to what we share, what we can reach, or what options are connected to CTI info sharing. This is one area where they could add value because we cannot integrate it easily with QRadar. If a client has a legacy or already existing solutions for CTI, we cannot ask them to forget it because we cannot guarantee that QRadar is able to deliver everything connected to this area."
"There should be an extension where we can get the reports. This could be an extension to the dashboard with the Guardian or another product with limited technology, for example IPS. Now, we only have IBM. Basically, it needs more and more integration models."
"QRadar UBA only keeps the data for a short while (it's refreshed every five minutes) and would be improved if this were extended to a week or month."
"The whole process for support is something that needs to be improved."
"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 quality of technical support depends on the IBM support person. Sometimes, it's hard to get the right person on the other side. A ticket coordinator could be the key to better quality delivery."
"IBM Qradar could improve the reporting. The tool is not designed to report. It's a great operational monitoring tool. You put it on a screen and you watch it. If you want to have analytics out of it, that's a whole different story. You're going to need more people and tools. What should be added is reporting and integration into Power BI, into some capability that produces analytical reports from the source data. IBM does not seem to care to add these features."
"I have noticed the interface has room for improvement."
 

Pricing and Cost Advice

"You only pay for what you use."
"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."
"Compared to other cloud platforms, it is manageable and not very expensive."
"The licensing is also overly complex, as there is a need to buy the work load performance monitoring separately."
"It's free of charge."
"Licensing is very expensive, IBM QRadar is a very expensive solution. If you want to minimize costs then IBM QRadar is not for you."
"You have a one-time payment, and you also can purchase it for one year as a subscription. We have it on-premise, and we have a permanent license for it. We have to pay for the support on a yearly basis. If you compare its cost with Sentinel for one year, QRadar would seem more expensive, but if you compare its cost over five or ten years, Azure Sentinel will be more expensive than QRadar. If you compare its cost with Sentinel for one year, QRadar would seem more expensive, but if you compare its cost over five or 10 years, Azure Sentinel can be more expensive than QRadar."
"IBM Security QRadar is a very expensive tool."
"QRadar's price is reasonable compared to LogRhythm."
"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."
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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 Business8
Midsize Enterprise2
Large Enterprise2
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.
881,515 professionals have used our research since 2012.