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 (22nd), Search as a Service (3rd)

IBM Security QRadar

Ranking in Log Management

6th

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) (10th), Security Orchestration Automation and Response (SOAR) (5th), Managed Detection and Response (MDR) (7th), Extended Detection and Response (XDR) (10th)

Mindshare comparison

As of June 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.6%, down from 2.6% compared to the previous year. The mindshare of IBM Security QRadar is 4.2%, up from 3.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
IBM Security QRadar	4.2%
Amazon OpenSearch Service	1.6%
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

"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 stability of the product is good."

"In case there is a failure, Elastic manages everything well, and there no major downtime."

"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."

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

"This service already sorts data like vectors. They have classified the storage pre-defined."

"The customer service is excellent, rated nine out of ten."

More Amazon OpenSearch Service pros

"The product is great; it does good correlation for events, it does good general analysis, and it has good apps as well."

"IBM QRadar User Behavior Analytics's most important feature is its ease of use."

"It is the core of our entire SOX."

"IBM has everything you need in a cybersecurity solution. If you want to build a cybersecurity operation center version then I think QRadar is a perfect solution."

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

"IBM QRadar is probably the best possible solution in the market."

"From an analytics perspective, it's a good tool."

"It protect us from multiple authentication values, unauthorized access and antivirus threats."

More IBM Security QRadar pros

Cons

"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."

"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."

"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."

"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 want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."

"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."

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

More Amazon OpenSearch Service cons

"I would like to see a better GUI."

"The initial technical support to call is less than adequate."

"The only challenge is that IBM has been a closed enterprise. It should be more open to integrating with other providers at an enterprise level. We're a bank and the core banking system integration is not way straightforward and there is no integration between IBM and these products. If IBM could open up and provide a way of integrating it seamlessly, without charging more for it, that would make a big difference."

"I think that the search speed of this solution could be improved."

"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."

"We've used technical support and it hasn't been great."

"The solution's technical support works, but sometimes, it can take quite a long time to get a solution from technical support."

"The setup was a bit complex. It was complex because you need to understand the product and they need to understand our business requirements, as all of this is in the setup."

More IBM Security QRadar cons

Pricing and Cost Advice

"There is a community edition available and the price of the commercial offering is reasonable."

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

"Compared to other cloud platforms, it is manageable and not very expensive."

"You only pay for what you use."

"think the pricing is quite flexible."

"The price of this solution is a little bit expensive, so if it were cheaper then it would help."

"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."

"I think that the price is fair, but we can always say that the price could be cheaper."

"QRadar UBA's price is a little more than street price and could be reduced."

"There is a license required for this solution."

"It is overly expensive and overly complex in terms of licensing. They have many different appliances, which makes it extremely difficult to choose the technology. It is very difficult to choose the technology or QRadar components that you should be deploying. They have improved some of it in the last few years. They have made it slightly easy with the fact that you can now buy virtual versions of all the appliances, which is good, but it is still very fragmented. For instance, on some of the smaller appliances, there is no upgrade path. So, if you exceed the capacity of the appliance, you have to buy a bigger appliance, which is not helpful because it is quite a major cost. If you want to add more disks to the system, they'll say that you can't."

"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."

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%

Construction Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	92
Midsize Enterprise	39
Large Enterprise	107

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?

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?

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

Comparisons

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Compared 5% of the time

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Compared 5% of the time

Grafana vs Amazon OpenSearch Service

Compared 5% of the time

Datadog vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service Competitors

Splunk Enterprise Security vs IBM Security QRadar

Compared 11% of the time

Elastic Security vs IBM Security QRadar

Compared 4% of the time

LogRhythm SIEM vs IBM Security QRadar

Compared 3% of the time

Sentinel vs IBM Security QRadar

Compared 3% of the time

Microsoft Sentinel vs IBM Security QRadar

Compared 3% of the time

More IBM Security QRadar Competitors

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