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IBM Security QRadar vs Vectra AI comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 5, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.5
IBM Security QRadar provides cost-effective value with strong ROI, efficient resource use, and quick threat response for organizations.
Sentiment score
7.1
Vectra AI improves security efficiency, reduces attack response time, and offers cost-effective risk mitigation, justifying investment with ROI.
Investing this amount was very much worth it for my organization.
 

Customer Service

Sentiment score
6.1
IBM QRadar customer service is praised for availability, but technical support receives mixed reviews due to inconsistent service levels.
Sentiment score
8.3
Vectra AI's support team is responsive and expert, offering timely assistance with high satisfaction scores from users.
They assist with advanced issues, such as hardware or other problems, that are not part of standard operations.
The problem escalates through level one to level three, and then the process starts over with Novo again.
I received very good support, possibly due to a good relationship with IBM.
The support is quite reliable depending on the service engineer assigned.
 

Scalability Issues

Sentiment score
7.5
IBM Security QRadar excels in scalable adaptability, supporting diverse environments and expansion with cloud options enhancing seamless growth.
Sentiment score
7.5
Vectra AI offers scalable solutions, efficiently managing large environments with flexible integration for cloud or on-premises deployments.
 

Stability Issues

Sentiment score
7.6
IBM Security QRadar is stable if configured properly, with support praised, despite occasional issues during updates and high usage.
Sentiment score
8.0
Vectra AI is reliable with minimal downtime, smooth updates, resolved issues, and proactive support ensuring effective performance.
The product has been stable so far.
I think QRadar is stable and currently satisfies my needs.
 

Room For Improvement

IBM Security QRadar needs enhanced usability, integration, support, API access, automation, cost-efficiency, and customization to address user challenges.
Vectra AI requires better integration, detection algorithms, user interface, and enhanced threat response, network analysis, and reporting capabilities.
If AI-related support can suggest rules and integrate with existing security devices like MD, IPS, this SIM can create more relevant rules.
We receive logs from different types of devices and need a way to correlate them effectively.
Improving the integration with IBM Server for MetaMask for correlation rules would be beneficial.
You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end.
Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources.
 

Setup Cost

IBM Security QRadar provides competitive, negotiable pricing for enterprises, perceived as cost-effective compared to some competitors like Splunk.
Vectra AI offers competitive pricing based on IP addresses, justified by threat detection performance despite licensing complexities and additional costs.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
 

Valuable Features

IBM Security QRadar excels with scalable log management, threat detection, user analytics, customization, and seamless integration for enhanced monitoring.
Vectra AI enhances threat management with AI-driven detection, alert consolidation, seamless integration, and an intuitive dashboard design.
Recently, I faced an incident, a cyber incident, and it was detected in real time.
IBM is seeking information about IBM QRadar because a part of QRadar, especially in the cloud, has been sold to Palo Alto.
There are extensive out-of-box detection capabilities.
 

Categories and Ranking

IBM Security QRadar
Ranking in Extended Detection and Response (XDR)
11th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
207
Ranking in other categories
Log Management (6th), Security Information and Event Management (SIEM) (4th), User Entity Behavior Analytics (UEBA) (1st), Endpoint Detection and Response (EDR) (17th), Security Orchestration Automation and Response (SOAR) (4th), Managed Detection and Response (MDR) (9th)
Vectra AI
Ranking in Extended Detection and Response (XDR)
15th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
44
Ranking in other categories
Intrusion Detection and Prevention Software (IDPS) (3rd), Network Detection and Response (NDR) (2nd), Identity Threat Detection and Response (ITDR) (10th), AI-Powered Cybersecurity Platforms (6th)
 

Mindshare comparison

As of April 2025, in the Extended Detection and Response (XDR) category, the mindshare of IBM Security QRadar is 3.0%, up from 2.8% compared to the previous year. The mindshare of Vectra AI is 3.4%, up from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Extended Detection and Response (XDR)
 

Featured Reviews

Md. Shahriar Hussain - PeerSpot reviewer
Real-time incident detection and user-friendly dashboard benefit daily operations
There are many types of AI, and this AI is very limited in SQL and features. There may be potential for improvement. So far, it seems very limited. It shows some good features in the correlation part, but I think there is room for improvement. For instance, when creating rules, it can suggest more rules, reducing the effort needed. If AI-related support can suggest rules and integrate with existing security devices like MD, IPS, this SIM can create more relevant rules. Sometimes logs I receive don't mean anything, and I need technical stakeholders to share or forward logs, but these are sometimes inadequate. Keywords can help identify insufficient logs. I often lack time to verify logs. Sharing false positive results could be reduced to help my team.
Mohammad Alkurdi - PeerSpot reviewer
Innovative detection features enhance monitoring
The advantages of the integration are not entirely out-of-the-box. You have to do it manually. When I'm doing tier response, an out-of-the-box solution is not available. You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end. This is a major consideration about them. The recall feature, if it can be placed in some areas instead of the cloud, and charged for, would be better. Recall the storage where you watch all the traffic, and you can recall it and try to analyze it in the back end. It’s cloud-based. If they offer it on-prem, it would be better. I think they have a solution, but I have never tested it, to be honest with you.
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Use our free recommendation engine to learn which Extended Detection and Response (XDR) solutions are best for your needs.
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Comparison Review

VS
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…
 

Top Industries

By visitors reading reviews
Educational Organization
23%
Computer Software Company
14%
Financial Services Firm
10%
Government
6%
Financial Services Firm
13%
Computer Software Company
13%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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...
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?
The cost depends. The price I negotiated varies by region and relationship with the OEM. Cost is not shared due to another procurement team handling negotiations, but it was reasonable as far as I ...
What is the biggest difference between Corelight and Vectra AI?
The two platforms take a fundamentally different approach to NDR. Corelight is limited to use cases that require the eventual forwarding of events and parsed data logs to a security team’s SIEM or ...
What do you like most about Vectra AI?
The solution is currently used as a central threat detection and response system.
What is your experience regarding pricing and costs for Vectra AI?
It is very acceptable when you compare it with Darktrace, for example.
 

Also Known As

IBM QRadar, QRadar SIEM, QRadar UBA, QRadar on Cloud, IBM QRadar Advisor with Watson
Vectra Networks, Vectra AI NDR
 

Overview

 

Sample Customers

Clients across multiple industries, such as energy, financial, retail, healthcare, government, communications, and education use QRadar.
Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association
Find out what your peers are saying about IBM Security QRadar vs. Vectra AI and other solutions. Updated: March 2025.
845,406 professionals have used our research since 2012.