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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 (21st), 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) (5th), Managed Detection and Response (MDR) (8th), Extended Detection and Response (XDR) (8th)
 

Mindshare comparison

As of September 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 3.7% 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

"In case there is a failure, Elastic manages everything well, and there no major downtime."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"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."
"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."
"AWS has now made our life easy."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"The business analytics capabilities are the most important feature it provides."
"It's a good log management platform. In terms of infrastructure management, it's good."
"This solution has allowed us to correlate logs from multiple sources."
"It has a powerful GUI where you can put together your use cases, and don't have to write your own scripts."
"The flexibility is good in terms of pulling log files."
"Vulnerability detection is the most valuable feature. It's the tool that finds the threats."
"You should totally go for it."
"The monitoring and dashboards are great."
"QRadar has somewhat of a new structure recently from last gen. They have moved from the standard UI based infrastructure."
"It gives me insight and visibility, so I can detect a threat coming in and all the offenses are coming in from monitoring one spot."
 

Cons

"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."
"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."
"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."
"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."
"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."
"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."
"This solution is on-premise and many customers are moving to the cloud base solution."
"Our experience with technical support has not been smooth. There is a lot of bureaucracy to get to the technical team."
"I would like for Yara to be supported by all components."
"The usability of interfaces could be improved and the solution could have better correlation services, as well as faster and updated intelligence interfaces."
"To be very frank, it's not that much help as of now. We are not getting that many insights from UVA, which we wanted, actually."
"IBM Security QRadar's mobile app lags behind with limited offensive viewing and no push alerts for high-severity incidents."
"QRadar needs to be improved on the storage side, particularly when the disc exceeded the maximum threshold."
"There is a scope of improvement in the orchestration layer, such as the SecOps from RSA. The reporting and dashboard capabilities require a bit of improvement in terms of fine tuning and bifurcation for the technical and management reports."
 

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."
"IBM QRadar User Behavior Analytics is an application framework and you can install many applications without any additional costs."
"The price of this product is high."
"A good approach would be to begin with an On Cloud subscription, then later on do a more exact sizing."
"There is an annual license required for this solution."
"Pricing (based on EPS) will be more accurate."
"We use QRadar as a managed service and we pay licensing fees to the partner."
"Licensing is very expensive, IBM QRadar is a very expensive solution. If you want to minimize costs then IBM QRadar is not for you."
"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."
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912,565 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
16%
Manufacturing Company
10%
Computer Software Company
8%
Outsourcing Company
6%
Outsourcing Company
11%
Financial Services Firm
10%
Construction Company
9%
Computer Software Company
7%
 

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: August 2026.
912,565 professionals have used our research since 2012.