Amazon OpenSearch Service vs IBM Security QRadar comparison

Amazon OpenSearch Service vs. IBM Security QRadar

Download the complete report

Helped 900,644 peers since 2012

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.

Read full review

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.

Read full review

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 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."

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

"The stability of the product is good."

"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."

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

More Amazon OpenSearch Service pros

"We are using the platform version, which I like."

"What we like about QRadar and the models that IBM has, is it can go from a small-to-medium enterprise to a larger organization, and it gives you the same value."

"IBM QRadar is easy to scale, it doesn't affect the environment. In our office, we have around 40 - 50 users, but our clients have more users on their networks. Our organization has staff in the software department that manages IBM QRadar for us."

"The most important and valuable feature of QRadar is how useful it is for preparing use cases."

"QRadar has somewhat of a new structure recently from last gen. They have moved from the standard UI based infrastructure."

"The tool helps with infrastructure, application, and network monitoring."

"The pre-canned rules and reports in this product are a huge plus."

"Overall, IBM QRadar is very good but no product is perfect."

More IBM Security QRadar pros

Cons

"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."

"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."

"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."

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

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

"They can enhance data visualization."

"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."

More Amazon OpenSearch Service cons

"In a future release, the solution could provide malware analysis."

"The reporting system could use some upgrading."

"The user interface and configurability of IBM QRadar User Behavior Analytics can be improved. It has a lot of pre-configured settings and not many things can be changed. It also needs more integrations. Currently, User Behavior Analytics is integrated only with IBM QRadar. It could have deeper integrations. It can also have more complicated scoring models. Currently, it has a very simple linear scoring model for users."

"They should provide more manual examples online so that I can learn it myself."

"Their support is very slow, and it is very difficult to find knowledgeable people within IBM."

"Customization in IBM Security QRadar is a challenge that I would like to see improved."

"The product can be a bit complex."

"IBM QRadar has outdated technology, and this is its area for improvement. When you try to implement an analytic expression, it's not updated. The solution doesn't support newer technologies, and it doesn't update regularly. For example, around the world, others implement new technologies, while IBM updates later than others."

More IBM Security QRadar cons

Pricing and Cost Advice

"You only pay for what you use."

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

"Pricing is good."

"Licensing is very expensive, IBM QRadar is a very expensive solution. If you want to minimize costs then IBM QRadar is not for you."

"It is expensive. It is not a product that I can provide for SMBs. It is a program that I can only provide for really large enterprises."

"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."

"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."

"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."

"found other solutions, with more features at the same cost or less. You don’t have to leave the Gartner Magic Quadrant to beat their price."

"The price of this product is high."

More IBM Security QRadar pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Log Management solutions are best for your needs.

See recommendations

900,644 professionals have used our research since 2012.

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

12%

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

Compared 8% of the time

Xapien vs Amazon OpenSearch Service

Compared 5% of the time

Azure AI Search vs Amazon OpenSearch Service

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

Microsoft Sentinel vs IBM Security QRadar

Compared 3% of the time

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