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Amazon OpenSearch Service vs IBM Security QRadar comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 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
20th
Average Rating
7.2
Reviews Sentiment
7.5
Number of Reviews
6
Ranking in other categories
Application Performance Monitoring (APM) and Observability (21st)
IBM Security QRadar
Ranking in Log Management
6th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
209
Ranking in other categories
Security Information and Event Management (SIEM) (4th), User Entity Behavior Analytics (UEBA) (1st), Endpoint Detection and Response (EDR) (17th), Security Orchestration Automation and Response (SOAR) (4th), Managed Detection and Response (MDR) (9th), Extended Detection and Response (XDR) (10th)
 

Mindshare comparison

As of May 2025, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.5%, up from 0.1% compared to the previous year. The mindshare of IBM Security QRadar is 3.7%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management
 

Featured Reviews

VijayKumar27 - PeerSpot reviewer
Effective as a vector store, serverless architecture but there aren't enough security features
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. Even being serverless, it incurs charges during idle times. For just holding data, you need to create a list. AWS should add an option to make data idle, so it won't include computing charges. They charge for OCU units based on the time the serverless solution is up, not on indexing or retrieval speed. Once the service starts, it starts getting billed. It would help if there were an option to limit computing. When using it as a database, storing data without frequent fetching would save computing costs.
Md. Shahriar Hussain - PeerSpot reviewer
Real-time incident detection and user-friendly dashboard benefit daily operations
There are many types of AI, and this AI is very limited in SQL and features. There may be potential for improvement. So far, it seems very limited. It shows some good features in the correlation part, but I think there is room for improvement. For instance, when creating rules, it can suggest more rules, reducing the effort needed. If AI-related support can suggest rules and integrate with existing security devices like MD, IPS, this SIM can create more relevant rules. Sometimes logs I receive don't mean anything, and I need technical stakeholders to share or forward logs, but these are sometimes inadequate. Keywords can help identify insufficient logs. I often lack time to verify logs. Sharing false positive results could be reduced to help my team.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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"
"The business analytics capabilities are the most important feature it provides."
"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"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."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"The customer service is excellent, rated nine out of ten."
"It'll get you from point A to B."
"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."
"We run 65 servers globally with just two people: an engineering person and me."
"The most valuable aspect of the solution is the integration capabilities on offer."
"Improves visibility and has a great new dashboard."
"The solution is reliable."
"Improved our organization's TCO."
"It is incredibly easy to deploy. All the appliances are flexible in the roles that they serve and are all managed the in the same way."
 

Cons

"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."
"One improvement I would like to see is support for auto-scaling."
"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."
"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."
"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."
"They can enhance data visualization."
"SOAR is what is expected the most from QRadar. They have something called SOAR Resilient, and it would be great if that gets induced in SIEM. IBM QRadar (as well as McAfee ESM) should have analytics platform integration. Currently, SIEMs don't have full-fledged integration with analytics where we are able to dump our data in SIEM, and the same data can be called from different analytics applications. We should be able to bring this data to a platform like Hadoop for big data and run the analytics there. Currently, people are seeing the past data and taking some actions in the present, but when it comes to analytics, there should be futuristic data where you can predict something out of your present and past data. Apart from that, I would like to see a full-fledged ITSM tool in QRadar. It sometimes has some technical issues that need to be checked. It requires a dedicated QRadar engineer to completely manage it. It has different module sets, such as event collector and event processor, and some technical glitches come in between. It takes the log but doesn't exactly process it in the way we want."
"The product does not have a team for investigating malware."
"I would like the rule creation interface to be much more user-friendly in the next release."
"The implementation and configuration are not easy."
"In a future release, the solution could provide malware analysis."
"The solution lacks some maturity."
"The dashboards are all legacy and old."
"There is a shortage of skilled individuals with knowledge about the solution. There is training required."
 

Pricing and Cost Advice

Information not available
"There is a license required for this solution."
"Pricing (based on EPS) will be more accurate."
"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."
"The maintenance costs are high."
"There are additional costs, such as the cost associated with the different hardware required for implementation and deployment. Along with the add-on apps, these are all additional costs, and they require licensing as well."
"Pricing and licensing are competitive. Their new licensing options allow logs to bypass the correlation engine for a flat rate, which is also appealing for log data that is compliance-driven for a small amount of money."
"The price could be better. I bought a subscription for three years."
"There is a license required for this solution and it is an annual payment. I have found all solutions in the category to be expensive, including Splunk."
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Comparison Review

VS
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
14%
Manufacturing Company
9%
Government
6%
Educational Organization
23%
Computer Software Company
14%
Financial Services Firm
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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?
Amazon OpenSearch Service is a bit costly compared to self-hosted Elasticsearch due to the managed service pricing.
What needs improvement with Amazon OpenSearch Service?
I did not delve deeply into Amazon OpenSearch Service, so I am unable to suggest specific improvements. However, we faced documentation challenges during integration after migrating from Elasticsea...
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...
 

Also Known As

No data available
IBM QRadar, QRadar SIEM, QRadar UBA, QRadar on Cloud, IBM QRadar Advisor with Watson
 

Overview

 

Sample Customers

Information Not Available
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 2025.
851,604 professionals have used our research since 2012.