Amazon OpenSearch Service vs IBM Security QRadar comparison

Amazon OpenSearch Service vs. IBM Security QRadar

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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

19th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (25th), Search as a Service (3rd)

IBM Security QRadar

Ranking in Log Management

6th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

217

Ranking in other categories

Security Information and Event Management (SIEM) (3rd), User Entity Behavior Analytics (UEBA) (2nd), Endpoint Detection and Response (EDR) (12th), Security Orchestration Automation and Response (SOAR) (5th), Managed Detection and Response (MDR) (7th), Extended Detection and Response (XDR) (10th)

Mindshare comparison

As of April 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.8%, down from 2.3% compared to the previous year. The mindshare of IBM Security QRadar is 4.0%, up from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
IBM Security QRadar	4.0%
Amazon OpenSearch Service	1.8%
Other	94.2%

Log Management

Featured Reviews

Md. Shahariar Hossen

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.

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HarshBhardiya

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.

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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."

"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."

"It's a good log management platform. In terms of infrastructure management, it's good."

"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."

"The stability of the product is good."

"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."

"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."

More Amazon OpenSearch Service pros

"Almost every feature is useful."

"The QNI feature is the one I am very interested in, and I have also been interested in Watson. From the log analysis and the security perspective, we are able to dive deep into any of the logs and anomalies."

"The most valuable feature of the solution is its ability to rectify a situation involving any anomalies expeditiously."

"With QRadar, we are getting better outputs such as the reports and other outputs."

"It integrates very easily with other solutions, the solution is flexible, and we can add anything to it, as it is a good companion to other tools."

"I would recommend the solution to others."

"IBM Qradar's ability to simplify the number of events, not only on a technical level but by making that information easy to pan through the orchestration deduplication. It is very impressive given that we have hundreds of devices that send event logs through."

"I have found IBM QRadar to be stable."

More IBM Security QRadar pros

Cons

"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."

"The configuration should be more straightforward because we had to select a lot of things."

"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."

"They can enhance data visualization."

"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."

"As a user, lower prices or reasonable pricing is always better."

More Amazon OpenSearch Service cons

"I would like for them to develop a detection management solution. It does not have a detection management solution in it, you have to buy it as it is, on top of the extended solution."

"The dashboard and reports are not user-friendly or efficient so are of little help with threat hunting activity."

"The user interface needs improvement."

"No, it has not improved the efficiency of our security team."

"For future updates, I'd like to see more advanced threat intelligence features integrated with AI. This would help with analyzing traffic patterns and improving protection. QRadar currently doesn't integrate with AI for threat analysis. However, AI could enhance its capabilities by learning traffic patterns and automatically blocking or quarantining suspicious traffic. This would be especially useful when administrators are not actively monitoring. AI could help by analyzing incoming and outgoing traffic and adjusting policies accordingly."

"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."

"They should provide more integration with more devices."

"The SQL database on the back end takes some time and it's not so flexible in data storage or data lake creation, so that is the only backfall of QRadar."

More IBM Security QRadar cons

Pricing and Cost Advice

"You only pay for what you use."

"The solution is not expensive, but priced averagely, I will say."

"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."

"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."

"The price could be better. I bought a subscription for three years."

"think the pricing is quite flexible."

"In terms of additional costs, it depends on the subscription that you choose. There are plenty of options to choose from."

"They can give us some scalability and flexibility on pricing. If its pricing can be reduced, it would help a lot of customers in bringing in a new SIEM environment and grow business in the market. If I start a license today and take around 10,000 EPS, and after a month, there is an increase in the number of clients on my platform, I can increase the number of licenses. I can add 5,000 EPS on a yearly basis."

"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."

"We use QRadar as a managed service and we pay licensing fees to the partner."

"It's free of charge."

More IBM Security QRadar pricing and cost advice

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Comparison Review

Vinod Shankar

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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

10%

Computer Software Company

10%

Government

Financial Services Firm

11%

Computer Software Company

10%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	91
Midsize Enterprise	39
Large Enterprise	105

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?

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?

Pricing and the license of EPS were managed by the governance team. I was not responsible for managing those. I was supposed to put up the requirement of the license needed to integrate that amount...

Grafana Loki vs Amazon OpenSearch Service

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Product Reports

Amazon OpenSearch Service

Download Amazon OpenSearch Service product report

IBM Security QRadar

Download IBM Security QRadar product report

Also Known As

Amazon Elasticsearch Service

IBM QRadar, QRadar SIEM, QRadar UBA, QRadar on Cloud, IBM QRadar Advisor with Watson

Overview

Amazon OpenSearch Service provides scalable and reliable search capabilities with efficient data processing, supporting easy domain configuration and integration with numerous systems for enhanced performance.

Amazon OpenSearch Service offers advanced features for handling JSON, diverse search grammars, quick historical data retrieval, and ultra-warm storage. It also includes customizable dashboards and seamless tool integration for large enterprises. With its managed infrastructure, OpenSearch Service supports efficient system analysis and business analytics, improving overall performance and flexibility. Despite these features, areas like configuration complexity, lack of auto-scaling, and integration with Kibana require attention. Users seek enhanced documentation, better pricing options, and more flexible data handling. Desired improvements include default filters, mapping configuration, and alerting capabilities. Enhanced data visualization and Compute Optimizer Service integration are also recommended for future updates.

What features define Amazon OpenSearch Service?

Scalable Search: Offers reliable search capabilities across vast datasets.
JSON Handling: Supports efficient management of JSON data.
Ultra-warm Storage: Enables cost-effective historical data retrieval.
Dashboard Customization: Supports tool integration and tailored visuals.
System Upgrades: Allows for seamless infrastructure upgrades.

What benefits and ROI should users consider?

Performance Enhancement: Significant improvement in search and data retrieval.
Cost-Effectiveness: Provides a cloud-native solution optimized for AWS environments.
Comprehensive Analytics: Delivers detailed insights for business applications.

Amazon OpenSearch Service is utilized in various industries for log management, data storage, and search capabilities. It supports infrastructure and embedded management, analyzing logs from AWS Lambda, Kubernetes, and other services. Companies use it for application debugging, monitoring security and performance, and customer behavior analysis, integrating it with tools like DynamoDB and Snowflake for a cost-effective solution.

Amazon Web Services (AWS)

IBM Security QRadar offers real-time threat detection, data correlation, and integration with third-party solutions, providing a user-friendly interface, scalability, and extensive reporting capabilities for SIEM needs.

IBM Security QRadar is designed for comprehensive security monitoring in diverse environments, aiding sectors like telecom and finance with advanced threat detection and breach management. It aggregates data and analyzes user behavior, while its customizable and out-of-the-box rules deliver robust security insights and vulnerability management. The platform seeks enhancements in integration, performance, and user interface, with a focus on AI and cloud service compatibility.

What are the most important features of IBM Security QRadar?

Real-time Threat Detection: Monitors and alerts on security incidents as they happen.
Data Correlation: Aggregates and connects disparate data sources for cohesive analysis.
Third-party Integration: Supports seamless interaction with other security tools.
Scalability: Grows with organizational needs without sacrificing performance.
Customizable Rules: Allows tailored security settings for specific requirements.

What benefits and ROI should be expected?

Enhanced Security Insights: Offers comprehensive coverage across environments.
Reduced False Positives: Minimizes unnecessary alerts, improving efficiency.
User-friendly Interface: Simplifies navigation and analysis tasks.
Extensive Reporting Capabilities: Provides detailed insights for informed decision-making.
Compliance Focus: Assists in meeting regulatory standards effectively.

Telecom, finance, and cloud-based industries implement IBM Security QRadar for threat detection, compliance, and security monitoring. It is deployed for log collection and correlation, user behavior analytics, and ensuring secure data transfer and incident management, focusing on compliance and anomaly detection.

IBM

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.

Amazon OpenSearch Service vs. IBM Security QRadar