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Amazon OpenSearch Service vs IBM Security QRadar comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 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
15th
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
5th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
218
Ranking in other categories
Security Information and Event Management (SIEM) (2nd), User Entity Behavior Analytics (UEBA) (3rd), Endpoint Detection and Response (EDR) (11th), Security Orchestration Automation and Response (SOAR) (4th), Managed Detection and Response (MDR) (8th), Extended Detection and Response (XDR) (9th)
 

Mindshare comparison

As of October 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.3%, down from 2.8% compared to the previous year. The mindshare of IBM Security QRadar is 4.5%, 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 QRadar4.5%
Amazon OpenSearch Service1.3%
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

"AWS has now made our life easy."
"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."
"The initial set up is very easy...We really appreciate Amazon!"
"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."
"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"
"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."
"The business analytics capabilities are the most important feature it provides."
"The solution has great support; whenever we had an issue they were able to give us support within 15 minutes."
"IBM in Indonesia provides great support."
"From a sales perspective, IBM QRadar is very competitive when it comes to prices."
"The scalability is good."
"The visibility it gives you into your infrastructure has been great."
"The solution can scale."
"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 has helped us with our response time to threats."
 

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."
"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."
"We faced documentation challenges during integration after migrating from Elasticsearch to Amazon OpenSearch Service. Better documentation on integration, query handling, and a more user-friendly UI could enhance the product."
"As a user, lower prices or reasonable pricing is always better."
"The configuration should be more straightforward because we had to select a lot of things."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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."
"One improvement I would like to see is support for auto-scaling."
"I would also like to see more integration with other vendors. IBM doesn't integrate well with products from China, like Huawei. Many Middle Eastern customers are switching to Huawei from American vendors like Cisco because of the price. In most RFPs, Huawei wins because it costs less."
"I would like to see some artificial intelligence and alternative solutions."
"I would like to see a more user-friendly product."
"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 technical support can be improved a little bit, and the price could be cheaper."
"The initial technical support to call is less than adequate."
"We're a little concerned about the latest version and the fact that it cannot be upgraded, that it requires a clean install."
"The solution's technical support works, but sometimes, it can take quite a long time to get a solution from technical support."
 

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."
"I would like for them to lower the price."
"In terms of additional costs, it depends on the subscription that you choose. There are plenty of options to choose from."
"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."
"We pay approximately $40,000 to use the solution annually. This solution is a lot less expensive than Splunk."
"QRadar UBA's price is a little more than street price and could be reduced."
"There are different types of subscriptions available. We were on an annual subscription, but our customers typically choose the two years subscription option."
"It could be cheaper, but the value itself is far more important for us than the price. Typically, our clients have yearly subscriptions."
"Only enterprise businesses can afford the 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%
Manufacturing Company
10%
Computer Software Company
8%
Outsourcing Company
7%
Outsourcing Company
12%
Financial Services Firm
10%
Construction Company
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise4
By reviewers
Company SizeCount
Small Business93
Midsize Enterprise39
Large Enterprise107
 

Questions from the Community

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 is your primary use case for Amazon OpenSearch Service?
Amazon OpenSearch Service is a user-friendly version of Elasticsearch, as per my understanding. I have been using it for our volunteer management system where around 5,000 to 6,000 users are using ...
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?
I am overall satisfied with the licensing cost for IBM Security QRadar.
 

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: September 2026.
917,382 professionals have used our research since 2012.