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 stability of the product is good."

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

"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."

"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!"

"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."

"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."

"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."

More Amazon OpenSearch Service pros

"My favorite thing is that it comes with good usability."

"The product has plenty of features and capabilities."

"It's a complete platform."

"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."

"We pay a little bit extra for Watson, and the Watson feature enables the analyst to go through and triage things much faster."

"Previously, we had to do a lot of debugging when we wanted to change our firewall policy to find out which rule was blocking things, etc. With QRadar, when you integrate the logs of the firewall, you have with two clicks, the info in real-time."

"I like that it's easy to use and the performance is good."

"I think the QDI is very good."

More IBM Security QRadar pros

Cons

"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."

"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."

"They can enhance data visualization."

"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."

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

"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."

More Amazon OpenSearch Service cons

"A lot of information that we receive for the devices is IP-based, but it would help if we could have a default dashboard in which we can add more details about the assets for which we are receiving the information. For example, if it is a Windows or Linux device, we only get the IP for that particular device. We don't really get the name and other details of that particular device. For that, you have to drill down into your own asset management system. It would be good to have a place where we can probably add this information so that we don't have to look into other tools."

"The first area for improvement is the cost. It's a little bit too expensive for us."

"I'd like to see it being able to be integrated with more security products."

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

"Integration could be better. They should make it easy to integrate with other solutions."

"Sometimes, after a new release, we had issues with stability or some bug showed up."

"I think QRadar is very complex. It's a distributed system and IBM QRadar has an all-in-one solution which is not like that distributed solution but it's a good product. IBM needs to consider the user interface because if we compare it with AlienVault, the AlienVault user interface is fantastic but the IBM QRadar user interface is very complex. They should focus on how to make it easier for the client."

"High availability deployments have serious upgrade issues."

More IBM Security QRadar cons

Pricing and Cost Advice

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

"You only pay for what you use."

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

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

"When it comes to the initial pricing there can be a huge discount from there side and also I think they are open to competing with other products."

"We pay approximately $40,000 to use the solution annually. This solution is a lot less expensive than Splunk."

"The solution is costly and the price differs depending on the vendor you use."

"The solution comes with a high price tag, while some of the competitors provide identical functionality in their offerings at no extra cost."

"This price is a little high, so it's an expensive product."

"Most of the time, it is easier and cheaper to buy a new product or the QRadar box."

"The pricing is good."

"The solution's pricing is based on the EPS model."

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

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

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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

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