

IBM Security QRadar and Red Canary are products in the cybersecurity domain. Based on data comparisons, Red Canary seems to have an advantage in terms of features, making it a preferred choice despite higher pricing. In contrast, IBM Security QRadar offers more competitive pricing and support, which appeals to budget-conscious buyers.
Features: IBM Security QRadar is known for its threat detection, analytics, and integration capabilities. It provides comprehensive data analytics and seamless system integration, making it suitable for various security needs. Red Canary is recognized for its managed detection and response services, which enhance efficiency in identifying threats. Its focus on proactive threat mitigation is a key differentiator.
Room for Improvement: IBM Security QRadar could improve in streamlining its deployment process to reduce the initial setup time and complexity. Enhancing user interface intuitiveness and automating more processes may further aid usability. In contrast, Red Canary could look into reducing its cost as its pricing may be a barrier for smaller organizations. Expanding integration with more third-party tools and providing more detailed documentation for ease of use could be advantageous.
Ease of Deployment and Customer Service: Red Canary offers quick deployment and responsive customer support, facilitating seamless setup and ongoing management. In contrast, IBM Security QRadar might require longer deployment times but compensates with a robust support framework and extensive resources available for troubleshooting and assistance.
Pricing and ROI: IBM Security QRadar presents a more favorable setup cost and a strong ROI, making it attractive for organizations keeping a close eye on budget constraints. Although Red Canary is more expensive, it justifies its cost with superior feature offerings and effective threat detection, providing significant long-term value.
With SOAR, the workflow takes one minute or less to complete the analysis.
AWS gives the chance to implement a solution out of the box with use cases that are already in IBM Security QRadar.
I have seen a return on investment; I can share that it includes time saved, money saved, and fewer employees needed.
They assist with advanced issues, such as hardware or other problems, that are not part of standard operations.
Support needs to understand the issue first, then escalate it to the engineering team.
The support is really good; for instance, if a critical ticket is submitted, you will get paged right away as it gets logged, and their analyst will look into it, letting you know as soon as possible so you can work on it.
In emergencies, there is an on-call person available to resolve issues immediately.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
IBM Security QRadar's scalability is great; you can have a new collector to deploy if you have increased EPS per second.
On cloud, you don't see any disconnections or instability.
I think QRadar is stable and currently satisfies my needs.
The product has been stable so far.
We receive logs from different types of devices and need a way to correlate them effectively.
If AI-related support can suggest rules and integrate with existing security devices like MD, IPS, this SIM can create more relevant rules.
IBM Security QRadar does not support Canvas, so we had to create custom scripts and workarounds to pull logs from Canvas.
Red Canary's pricing spectrum may not be ideal for smaller financial institutions.
Splunk is more expensive than IBM Security QRadar.
It was costly mainly because of the value you can get right now compared to other solutions.
It depends on how much you want to spend.
The services are higher priced.
Recently, I faced an incident, a cyber incident, and it was detected in real time.
IBM Security QRadar gives the opportunity to improve the time to market of the releases with a great evaluation of cybersecurity breaches.
Compared to ArcSight, Splunk, or any other SIEM tools where you need their processing language such as structured query language, SPL, and in Sentinel there is KQL query languages, IBM Security QRadar doesn't require reliance on query languages.
Red Canary detects threats and attack patterns, allowing us to assess any significant damage caused to the banking environment, particularly if protected data has been damaged or corrupted.
| Product | Market Share (%) |
|---|---|
| IBM Security QRadar | 1.0% |
| Red Canary | 2.9% |
| Other | 96.1% |

| Company Size | Count |
|---|---|
| Small Business | 91 |
| Midsize Enterprise | 39 |
| Large Enterprise | 105 |
IBM Security QRadar (recently acquired by Palo Alto Networks) is a security and analytics platform designed to defend against threats and scale security operations. This is done through integrated visibility, investigation, detection, and response. QRadar empowers security groups with actionable insights into high-priority threats by providing visibility into enterprise security data. Through centralized visibility, security teams and analysts can determine their security stance, which areas pose a potential threat, and which areas are critical. This will help streamline workflows by eliminating the need to pivot between tools.
IBM Security QRadar is built to address a wide range of security issues and can be easily scaled with minimal customization effort required. As data is ingested, QRadar administers automated, real-time security intelligence to swiftly and precisely discover and prioritize threats. The platform will issue alerts with actionable, rich context into developing threats. Security teams and analysts can then rapidly respond to minimize the attackers' strike. The solution will provide a complete view of activity in both cloud-based and on-premise environments as a large amount of data is ingested throughout the enterprise. Additionally, QRadar’s anomaly detection intelligence enables security teams to identify any user behavior changes that could be indicators of potential threats.
IBM QRadar Log Manager
To better help organizations protect themselves against potential security threats, attacks, and breaches, IBM QRadar Log Manager gathers, analyzes, preserves, and reports on security log events using QRadar Sense Analytics. All operating systems and applications, servers, devices, and applications are converted into searchable and actionable intelligent data. QRadar Log Manager then helps organizations meet compliance reporting and monitoring requirements, which can be further upgraded to QRadar SIEM for a more superior level of threat protection.
Some of QRadar Log Manager’s key features include:
Reviews from Real Users
IBM Security QRadar is a solution of choice among users because it provides a complete solution for security teams by integrating network analysis, log management, user behavior analytics, threat intelligence, and AI-powered investigations into a single solution. Users particularly like having a single window into their network and its ability to be used for larger enterprises.
Simon T., a cyber security services operations manager at an aerospace/defense firm, notes, "The most valuable thing about QRadar is that you have a single window into your network, SIEM, network flows, and risk management of your assets. If you use Splunk, for instance, then you still need a full packet capture solution, whereas the full packet capture solution is integrated within QRadar. Its application ecosystem makes it very powerful in terms of doing analysis."
A management executive at a security firm says, "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."
Red Canary Managed Detection and Response (MDR) offers robust threat detection, rapid response capabilities, continuous security monitoring, and seamless integration with existing tools. Valued for its actionable reporting and proactive threat intelligence, it streamlines operations and enhances organizational efficiency and security.
We monitor all Managed Detection and Response (MDR) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.