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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

"The stability of the product is good."
"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"
"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"It's a good log management platform. In terms of infrastructure management, it's good."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"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."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"It has improved comprehensive visibility for what is going on in the perimeters, and on the inside, as well."
"This is a distributed application, meaning that a customer can stack small and then scale it so that they can expand pretty effectively. You can use, basically, the same product in an SMB or a large enterprise."
"I like that it's easy to use and the performance is good."
"The tool helps with infrastructure, application, and network monitoring."
"It is the core of our entire SOX."
"The most valuable feature is user behavior analytics (UBA)."
"It has a lot of good correlation rules. From a customer's point of view, it is one of the best solutions because you don't need to create correlation rules from scratch. You just review them and customize them as you want."
"One of the most valuable features of this solution is it has very good data correlation."
 

Cons

"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 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."
"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."
"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 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."
"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."
"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."
"Technical support could be improved by a bit."
"Some UI enhancements would be nice, such as exporting custom event properties and the ability to export rules."
"The solution is clunky."
"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."
"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."
"Certain updates—especially when using Azure—don't apply directly. Our engineering team must invest additional effort to implement these updates. However, the tool's cloud-based version poses no issues. However, upgrading the product can sometimes be challenging for on-premises instances."
"They should speed up the incident response and also, at the same time, reduce the amount of manual effort that is required."
"The architecture could be improved. I got stuck for a long time trying to understand the architecture, as it is quite challenging."
 

Pricing and Cost Advice

"Compared to other cloud platforms, it is manageable and not very expensive."
"There is a community edition available and the price of the commercial offering is reasonable."
"You only pay for what you use."
"The solution is not expensive, but priced averagely, I will say."
"IBM's Qradar is not for small companie. Unfortunately, it would be 'overkill' to place it plainly. The pricing would be too much."
"The tool's price is high."
"The solution's pricing is based on the EPS model."
"Its price is good in terms of efficiency and the number of people required for implementing various things. You might pay more in terms of money, but you might save on the number of people. For example, if you are using Kibana, you have to pay more for people or experts, which is not the case with IBM QRadar."
"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."
"The price of this solution is a little high."
"IBM's Qradar is not for small companie. Unfortunately, it would be 'overkill' to place it plainly. The pricing would be too much."
"When compared with other SIM solutions, QRadar is considerably less expensive."
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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%
No data available
 

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.
881,082 professionals have used our research since 2012.