

IBM Security QRadar and ArcSight Logger compete in the cybersecurity software market, with QRadar having an advantage due to superior integration capabilities.
Features: IBM Security QRadar offers extensive system integration, a flexible rule engine, and comprehensive threat intelligence capabilities. ArcSight Logger stands out for its log management features, robust scalability, and efficient log search capabilities.
Room for Improvement: IBM Security QRadar could improve its user experience, reporting, and dashboard visualization. It also needs better support for user behavior analytics. ArcSight Logger's complex user interface and lack of sophistication in threat analytics and search speed require attention.
Ease of Deployment and Customer Service: IBM Security QRadar allows for flexible deployment options including cloud environments, whereas ArcSight Logger is limited to on-premises setups. Both products experience mixed reviews for customer service, with a need for more consistent support.
Pricing and ROI: IBM Security QRadar is considered a high-cost solution but offers good ROI due to its integration and security features. Its flexible licensing model helps in scaling. ArcSight Logger is also noted for its high expense but is valued for effective log management, though it lacks flexible pricing options.
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.
Investing this amount was very much worth it for my organization.
We provide pre-implementation, implementation, and post-implementation support.
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.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
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.
Splunk does much more than SIEM, including log analysis, user behavior analysis, threat intelligence, and customer behavior analysis.
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.
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.
ArcSight Logger installs on very minimal resources with very few requirements
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.
| Product | Mindshare (%) |
|---|---|
| IBM Security QRadar | 4.1% |
| ArcSight Logger | 0.9% |
| Other | 95.0% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 9 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 92 |
| Midsize Enterprise | 39 |
| Large Enterprise | 106 |
ArcSight Logger effectively manages vast log data volumes, streamlining complex query execution and data compression while supporting various devices to meet compliance needs.
ArcSight Logger, known for scalability, simplifies handling extensive log data and executes complex queries swiftly. Its data compression features, coupled with versatile device support, allow for smooth security analytics and log collection. Users appreciate its real-time network insights and intuitive interface. However, improvements are needed in indexing speed, user navigation simplification, enhanced system integration, advanced analytics, and comprehensive threat management. Companies leverage ArcSight Logger for on-premises log management, vital for IT asset event monitoring and compliance within telecom and enterprise sectors.
What are the key features?In industries like telecom and enterprise, ArcSight Logger facilitates on-premises deployments to manage logs, process queries, and integrate with security tools, essential for incident response. It aids in retaining logs, monitoring Windows events, overseeing communications, and is employed in fraud prevention and security monitoring involving syslog servers.
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?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.
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