IBM Security QRadar vs SentinelOne Singularity AI SIEM comparison

IBM and SentinelOne are both solutions in the Security Information and Event Management (SIEM) category. IBM is ranked #2 with an average rating of 8.0, while SentinelOne is ranked #14 with an average rating of 8.6. IBM holds a 5.2% mindshare in SIEM, compared to SentinelOne’s 1.4% mindshare. Additionally, 90% of IBM users are willing to recommend the solution, compared to 100% of SentinelOne users who would recommend it.

IBM Security QRadar

Read 217 IBM Security QRadar reviews

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14,721 Comparison Views

90% willing to recommend

SentinelOne Singularity AI ...

Read 5 SentinelOne Singularity AI SIEM reviews

2,933 Views
2,288 Comparison Views

100% willing to recommend

IBM Security QRadar

SentinelOne Singularity AI ...

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Executive SummaryUpdated on Mar 29, 2026

IBM Security QRadar and SentinelOne Singularity AI SIEM are competitors in the security information and event management sector. SentinelOne has a slight advantage due to its AI-driven threat analysis that ensures rapid adaptability to threats.

Features: IBM Security QRadar features robust threat intelligence, deep incident analysis, and strong integration with existing security tools. Its log management and network traffic analysis increase detection efficiency. SentinelOne Singularity AI SIEM offers advanced AI-driven threat detection and automated response, facilitating quicker threat mitigation.

Room for Improvement: IBM Security QRadar could improve by simplifying deployment, enhancing AI capabilities, and reducing on-premise setup complexity. SentinelOne could enhance its integration capabilities, user interface simplification, and provide more comprehensive customer support documentation.

Ease of Deployment and Customer Service: IBM Security QRadar requires a complex on-premise setup, although it offers extensive deployment support. SentinelOne provides a cloud-based deployment model, simplifying implementation and scaling, accompanied by attentive customer service.

Pricing and ROI: IBM Security QRadar involves higher setup costs due to hardware needs and customization yet offers significant ROI with comprehensive threat management. SentinelOne Singularity's AI architecture provides cost efficiency and rapid ROI via automated threat management.

To learn more, read our detailed IBM Security QRadar vs. SentinelOne Singularity AI SIEM Report (Updated: April 2026).

Buyer's Guide

IBM Security QRadar vs. SentinelOne Singularity AI SIEM

April 2026

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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

IBM Security QRadar

Ranking in Security Information and Event Management (SIEM)

2nd

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

217

Ranking in other categories

Log Management (6th), 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)

SentinelOne Singularity AI ...

Ranking in Security Information and Event Management (SIEM)

14th

Average Rating

8.6

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

AI Observability (12th)

Mindshare comparison

As of May 2026, in the Security Information and Event Management (SIEM) category, the mindshare of IBM Security QRadar is 5.2%, down from 8.2% compared to the previous year. The mindshare of SentinelOne Singularity AI SIEM is 1.4%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Security Information and Event Management (SIEM) Mindshare Distribution
Product	Mindshare (%)
IBM Security QRadar	5.2%
SentinelOne Singularity AI SIEM	1.4%
Other	93.4%

Security Information and Event Management (SIEM)

Featured Reviews

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

Mohan Janarthanan

Associate Vice President at Novac Technology Solutions

AI-driven monitoring has improved real-time threat detection but still needs better automation

I could see some workflows, but I am unable to do automated workflows. For example, some repetitive jobs or repetitive tasks I am doing, but I am trying to have less manual intervention on the front. I am raising some issues that should be resolvable. The SentinelOne team has told me that this can be resolved within a couple of months, but they are saying that it is in future for enhancement and it may take some time. So far, the numbers are great. Regarding disadvantages or areas for improvement, I could say that 35 percent of my manual effort can be detected since I implemented it very recently. I could be able to say my current data talks about only 35 percent, and it may improve further, as I am expecting. But I can only comment based on my alerts and events. The adoption rate will be less compared to other products, as this can be a time-taken process because all my data needs to be offloaded and the system needs to understand my existing alerts, logs, and other things. This will take some more time, probably another month. Another area for improvement is that the product is somewhat expensive. Pricing could be improved as well.

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

"Most of our clients are interested in automation. The automation part is good because they are able to detect threats and vulnerabilities in real time. It's very fast."

"The user behavior analytics as part of our deployment was okay, even though it was clunky."

"Search capabilities are sufficient for most tasks."

"The IBM QRadar Licensing for the core Events(EPS) and Flows(FPS) is per second based, the licensing is perpetual and surely expensive but the output of the product makes it worth your money."

"The playbook engine is flexible and allows for the graphical visualization of processes, enabling the implementation of dynamic playbooks for incident response or testing."

"The circumvention method and the patch method is perfected very well in the QRadar area."

"Troubleshooting more complex issues became much simpler with the addition of this product."

"Paradigm shift, security intelligence 2.0 Contextual-based incident management Threat-based incident management A single management console to handle all the data Ease of use Existing integration capabilities Out-of-the-box reports Parser development"

More IBM Security QRadar pros

"When they face attacks such as ransomware and are dissatisfied with their existing solutions, they switch to SentinelOne Singularity AI SIEM, which is quite good in detecting unknown threats, cleaning the system, and handling ransomware."

"Overall, I would assess the overall security posture after implementing SentinelOne Singularity AI SIEM as significantly better."

"SentinelOne Singularity AI SIEM's AI-powered analytics does affect our SOC's ability to reduce false positives; that is one of the biggest advantages because the manpower that I have is limited."

"After using SentinelOne Singularity AI SIEM, it has reduced our incident response time by forty to fifty percent compared to other tools."

"AI-driven capabilities will give me real-time detection and will protect my autonomous AI interruption."

Cons

"For the common needs of clients to fulfill requirements, a real integration with Blueworks Live (BPA modeling tool also from IBM) and a more suitable BPM on cloud solution for midsize customers."

"There is one problem with QRadar in regards to the add-on apps. The apps can be frustrating. For example, when I add a big app like one of the add-ons for resiliency, add-on applications for QRadar, these applications require different hardware to implement and to deploy. The resiliency connector because there's a considerable amount of data scanning, operates for these apps correctly."

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

"Basically, your listening agent is at the mercy of the administrators, and for a security device or security software, that is a big vulnerability, because anybody can then go into the server, stop the agent, and then run any command or make any change they want to do, which would make your monitoring null and void."

"The product is good, but one feature they should have is an Elasticsearch."

"Do your research before implementing it, because it is tough to implement."

"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."

"It sometimes has some technical issues that need to be checked. It requires a dedicated QRadar engineer to completely manage it."

More IBM Security QRadar cons

"Another area for improvement is that the product is somewhat expensive. Pricing could be improved as well."

"At the moment, I feel the pricing is a little bit on the higher side, but the tool is positioned in a place where risk is very high, and we do not want to take chances, so we are prepared to pay the premium."

"It is quite good, but the only downside is that it is costly."

"SentinelOne Singularity AI SIEM has some performance and reliability issues that need improvement."

"In AI SIEM, the areas that have room for improvement are the parsers for third-party integrated data or for third-party data sources that are not native integrations, which could be made a bit easier."

Pricing and Cost Advice

"You have a one-time payment, and you also can purchase it for one year as a subscription. We have it on-premise, and we have a permanent license for it. We have to pay for the support on a yearly basis. If you compare its cost with Sentinel for one year, QRadar would seem more expensive, but if you compare its cost over five or ten years, Azure Sentinel will be more expensive than QRadar. If you compare its cost with Sentinel for one year, QRadar would seem more expensive, but if you compare its cost over five or 10 years, Azure Sentinel can be more expensive than QRadar."

"IBM's Qradar is not for small companie. Unfortunately, it would be 'overkill' to place it plainly. The pricing would be too much."

"I think my company pays for the license yearly."

"It is a perpetual license that we have for the event collector. The licensing is done based on the number of events and flows that you receive on this particular device. These are perpetual licenses, which means once you purchase them, they don't expire, which means that the support to IBM is definitely renewed after every one year. We have an enterprise agreement with IBM, which puts the cost in a totally different category as compared to someone who is not an IBM partner and is approaching IBM for this solution. We were able to get massive discounts. To give you an idea, we recently purchased 30,000 event licenses, and it costs around $480,000. It is definitely not a cheap product. We have licenses for about 270,000 events per second and 3 million flows per second. All the appliances and their events and flows are basically clubbed together and charged or rather calculated through a single source. The console receives all the details from all the event processes that we have globally. So, the license that we have is a single license for 270,000 events per second and 3 million flows per second, but that can be managed centrally. I was only part of the secondary purchase, which was 30,000 events per second for about $480,000. You can calculate how much we paid for 270,000 events. Reducing its price would be a compromise. We have already used a lower-priced product in the form of NNT, but we had to get rid of it because it was not doing the job that we actually wanted to do. You get what you pay for."

"As for licensing costs, I haven't seen the exact figures, but it is considered somewhat costly. On a scale from one to ten, where one is very expensive and ten is very cheap, I would rate it a six—it’s costly but worth the money."

"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."

"There is a license to use this solution, which is paid annually. However, there are subscription options available."

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

More IBM Security QRadar pricing and cost advice

Information not available

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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

11%

Computer Software Company

10%

Manufacturing Company

Construction Company

Outsourcing Company

Comms Service Provider

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	92
Midsize Enterprise	39
Large Enterprise	106

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

Questions from the Community

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...

See all answers

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...

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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...

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What needs improvement with SentinelOne Singularity AI SIEM?

I would not say there is anything that could be better in SentinelOne Singularity AI SIEM; I think we have seen something unique in the product. This product has the potential to add more SOC funct...

See all answers

What is your primary use case for SentinelOne Singularity AI SIEM?

For us, the use case is primarily to analyze security events that are coming in and also events that are kept over a period of time, to track and use it for investigation and maybe analysis, someti...

See all answers

What advice do you have for others considering SentinelOne Singularity AI SIEM?

I assess the overall security posture of the company after implementation as positive; I see a big impact on that. I would rate this review as an overall eight.

See all answers

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Product Reports

Buyer's Guide

IBM Security QRadar

May 2026

Download IBM Security QRadar product report

Buyer's Guide

SentinelOne Singularity AI SIEM

April 2026

Download SentinelOne Singularity AI SIEM product report

Also Known As

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

No data available

Overview

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

SentinelOne Singularity AI SIEM offers comprehensive security information and incident management designed to enhance threat detection, response, and investigation capabilities within enterprise environments.

SentinelOne Singularity AI SIEM is known for its robust capabilities in the realm of cybersecurity, providing organizations with an advanced tool to combat modern threats. The platform integrates machine learning and artificial intelligence to automate threat identification and streamline incident response processes. Its intuitive interface allows teams to manage security events efficiently, ensuring rapid reaction to potential vulnerabilities. As a scalable tool, it adapts to evolving security demands, providing valuable insights to safeguard critical business operations.

What are the important features of SentinelOne Singularity AI SIEM?

Automated Threat Detection: Uses AI to identify threats with minimal human intervention.
Comprehensive Data Analysis: Capable of processing extensive security-related data for informed decision-making.
Real-time Monitoring: Continuously tracks events for immediate alerts on suspicious activities.
Scalability: Adapts to the changing needs of enterprises, maintaining effectiveness at any scale.
Seamless Integration: Easily connects with existing security infrastructure to enhance overall protection.

What are the key benefits or ROI from SentinelOne Singularity AI SIEM?

Improved Security Posture: Enhances the ability to detect and respond to complex threats, minimizing risks.
Operational Efficiency: Automates routine processes, allowing security teams to focus on strategic tasks.
Cost-effectiveness: Reduces the need for extensive manual analysis, cutting down operational costs.
Business Continuity: Protects critical operations from disruptions, ensuring uninterrupted service delivery.
Scalability and Flexibility: Ensures ongoing adaptability to growing and dynamic security demands.

In industries such as finance and healthcare, implementation of SentinelOne Singularity AI SIEM often means tailored solutions to protect sensitive data, meeting regulatory compliance. These sectors appreciate its capability to provide detailed insights and reduce the risk of data breaches, thus preserving stakeholder trust.

SentinelOne

Sample Customers

Clients across multiple industries, such as energy, financial, retail, healthcare, government, communications, and education use QRadar.

Information Not Available

Buyer's Guide

IBM Security QRadar vs. SentinelOne Singularity AI SIEM

April 2026

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