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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

"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."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"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."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"The initial set up is very easy...We really appreciate Amazon!"
"IBM QRadar Advisor with Watson is aligned with regards to what's happening in the public space in terms of the phishing attacks that we are seeing prevalent in the market, and the use cases are very practical, offering quite a bit of protection."
"It also has a graph that shows the traffic history. I can see what happened yesterday or today. If there's an incident, I can check the traffic behavior on QRadar."
"The most valuable features are log monitoring, easy-to-fix issues, and problem-solving."
"The solution supports MSSP models, which most service providers have, meaning that a single system can be onboarded for all 200 existing customers for monitoring purposes."
"An engineer can live-monitor all the flow happening in real-time. This would help us a lot while investigating a case, and it would even help us with preventive actions."
"Customer service is very good and very helpful."
"The simplicity of the solution is the best feature."
"The playbook engine is flexible and allows for the graphical visualization of processes, enabling the implementation of dynamic playbooks for incident response or testing."
 

Cons

"They can enhance data visualization."
"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."
"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."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"One improvement I would like to see is support for auto-scaling."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"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."
"There could be better integration with the solution."
"QRadar needs to be improved on the storage side, particularly when the disc exceeded the maximum threshold."
"QRadar log integration of various applications can be a tough job at times."
"It is a bit expensive when compared with other solutions. It is expensive for specific deployment topologies, and the decision-makers go for alternatives like ArcSight."
"I would like for them to develop a detection management solution. It does not have a detection management solution in it, you have to buy it as it is, on top of the extended solution."
"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 API integration for AD is a problem when it comes to vulnerability management. If you want to incorporate multiple factor authentication it becomes a problem with the AD."
"It's resource-intensive."
 

Pricing and Cost Advice

"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."
"You only pay for what you use."
"The solution is not expensive, but priced averagely, I will say."
"The product is expensive. We have purchased the perpetual license, but we pay for the support."
"It is very expensive."
"It's too expensive. The licensing is also a little bit difficult to understand because you have to license it per event and per number of flows."
"think the pricing is quite flexible."
"The licensing is also overly complex, as there is a need to buy the work load performance monitoring separately."
"The pricing needs to be such that they are more competitive with other vendors."
"The price of this solution is a little bit expensive, so if it were cheaper then it would help."
"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."
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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
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: April 2026.
886,976 professionals have used our research since 2012.