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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
22nd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Application Performance Monitoring (APM) and Observability (26th), 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) (1st), Endpoint Detection and Response (EDR) (17th), Security Orchestration Automation and Response (SOAR) (4th), Managed Detection and Response (MDR) (7th), Extended Detection and Response (XDR) (11th)
 

Mindshare comparison

As of January 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.4%, up from 1.6% compared to the previous year. The mindshare of IBM Security QRadar is 3.7%, down from 4.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
IBM Security QRadar3.7%
Amazon OpenSearch Service2.4%
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

"This service already sorts data like vectors. They have classified the storage pre-defined."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"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 features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."
"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."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"It does good correlation for events. It does good general analysis, and it has good apps as well."
"It has a logical, user-friendly GUI."
"A nice benefit is when we go to the process of selecting our youth cases, they go by building blocks. QRadar links it to building blocks."
"We find predictive analysis capabilities valuable."
"The query search and log fetching are really helpful in IBM Security QRadar when compared to other tools."
"The most valuable features are log monitoring, easy-to-fix issues, and problem-solving."
"The product provides a complete platform for ingesting the log, doing the correlations and handling the runtime."
"I have found its network traffic log, network bit log, and QBI most valuable."
 

Cons

"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."
"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."
"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."
"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."
"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."
"Their technical support is not good. We opened a lot of cases and from my experience, they are not complicated issues but it takes forever to get an answer."
"The quoting and the dashboard session could be improved. It should be more user-friendly."
"Whenever we are upgrading or installing any type of patch, at that time we have some delays."
"Integration could be better. They should make it easy to integrate with other solutions."
"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."
"They should provide more manual examples online so that I can learn it myself."
"The product can be a bit complex."
"IBM QRadar has a margin for development, for out-of-the-box use cases. It can be enhanced with better support and automate the use cases for that."
 

Pricing and Cost Advice

"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."
"There is a community edition available and the price of the commercial offering is reasonable."
"QRadar UBA's price is a little more than street price and could be reduced."
"QRadar is quite expensive. It wouldn't be worth it for a small business..."
"It is very expensive."
"The tool is priced in a competitive manner. The tool's price is dependent on the installation and the product size, but it is competitive in the marketplace."
"Licensing can be costly depending on your architecture."
"It's free of charge."
"The maintenance costs are high."
"IBM Security QRadar is a very expensive tool."
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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
11%
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?
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 t...
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?
My experience with pricing, setup cost, and licensing is great compared to the other vendor.
 

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.
880,745 professionals have used our research since 2012.