


Find out what your peers are saying about Splunk, IBM, Wazuh and others in Security Information and Event Management (SIEM).
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.
The documentation for Splunk Enterprise Security is outstanding. It is well-organized and easy to access.
We couldn't calculate what would have been the cost if they had actually gotten compromised; however, they were in the process, so every investment was returned immediately.
On average, my SecOps team takes probably at least a quarter of the time, if not more, to remediate security incidents with Splunk Enterprise Security compared to our previous solution.
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.
The technical support is good; we have a separate portal for partners, and since we are paying for the service, they provide a response timeframe based on severity—critical issues are addressed within four hours, medium issues within one day, and non-urgent issues may take a couple of days.
LogRhythm SIEM is quite complex, but that complexity allows us to specifically tailor a solution to the customer while some others are not as flexible.
Customer support is very helpful and effectively solves my problems.
We have paid for Splunk support, and we’re not on the free tier hoping for assistance; we are a significant customer and invest a lot in this service.
I have had nothing but good experiences with Splunk support, receiving timely and helpful replies.
We've had great customer success managers who have helped us navigate scaling from 600 gigs to 30 terabytes.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
LogRhythm SIEM is highly scalable as it has modular components allowing me to expand storage, indexing, or other resources as needed.
LogRhythm SIEM is scalable; it can handle about 200 or 500 devices without much difference.
The scalability of LogRhythm SIEM is good enough, warranting an eight out of ten rating.
We currently rely on disaster recovery and backup recovery, which takes time to recover, during which you're basically blind, so I'm pushing my leadership team to switch over to a clustering environment for constant availability.
It is one of the things that separates it from other tooling, and if not, it is the most scalable solution out there.
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
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.
The platform needs regular updates to fix problems encountered with each quarterly patch and version release.
LogRhythm SIEM still needs improvement regarding stability, particularly in environments with heavy data consumption.
They test it very thoroughly before release, and our customers have Splunk running for months without issues.
Splunk has been very reliable and very consistent.
We need more SMEs, and there is no mechanism to tell us about indexer or search head issues.
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.
I have noticed some problems with parsing errors, event mismatches, and data mismatching, so ensuring accurate parsing and continuous improvement according to device updates are my basic expectations as a detection engineer.
There is currently no way to determine how much data is being consumed in terms of gigabytes, terabytes, or petabytes from particular devices or environments.
If LogRhythm SIEM could make a lightweight version of their solution, that would be quite competitive because some of my customers have a very large need but refuse to go with LogRhythm SIEM due to its complexity and high resource intensity.
Improving the infrastructure behind Splunk Enterprise Security is vital—enhanced cores, CPUs, and memory should be prioritized to support better processing power.
Splunk Enterprise Security is not something that automatically picks things; you have to set up use cases, update data models, and link the right use cases to the right data models for those detections to happen.
For any future enhancements or features, such as MLTK and SOAR platform integration, we need more visibility, training, and certification for the skilled professionals who are working.
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 license cost is around $10 per MPS.
I find LogRhythm SIEM affordable, as it is a bit less costly than QRadar.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
The platform requires significant financial investment and resources, making it expensive despite its comprehensive features.
I find it to be affordable, which is why every industry uses it.
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.
The seamless integration for case management, along with a user-friendly dashboard user interface, makes tasks like threat hunting more efficient.
We have enough budget for cloud deployment, but we choose to keep it on-prem to ensure data privacy; cyberattacks are a concern, but data privacy is the foremost priority due to sensitive government information.
This helps SOC analysts significantly as they can monitor all log sources through a dashboard, quickly identifying which sources haven't reported within their specified timeframes.
This capability is useful for performance monitoring and issue identification.
I assess Splunk Enterprise Security's insider threat detection capabilities for helping to find unknown threats and anomalous user behavior as great.
Splunk Enterprise Security provides the foundation for unified threat detection, investigation, and response, enabling fast identification of critical issues.
| Product | Mindshare (%) |
|---|---|
| Splunk Enterprise Security | 7.3% |
| IBM Security QRadar | 5.3% |
| LogRhythm SIEM | 2.5% |
| Other | 84.9% |



| Company Size | Count |
|---|---|
| Small Business | 92 |
| Midsize Enterprise | 39 |
| Large Enterprise | 107 |
| Company Size | Count |
|---|---|
| Small Business | 38 |
| Midsize Enterprise | 39 |
| Large Enterprise | 83 |
| Company Size | Count |
|---|---|
| Small Business | 125 |
| Midsize Enterprise | 58 |
| Large Enterprise | 277 |
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.
LogRhythm SIEM offers advanced threat intelligence, scalable deployment, and streamlined log management. It enhances security posture with AI-driven threat detection and comprehensive monitoring.
LogRhythm SIEM stands out for its AI-driven threat correlation, ease of log aggregation, and robust reporting. Offering real-time visibility and analytics through consistent navigation and dashboards, it integrates with security components for enhanced monitoring and response. Advanced threat intelligence and customizable alerts streamline processes and bolster security. While it faces challenges with log parsing, reporting, and dashboard intuitiveness, plans to enhance cloud integration and transition to Linux are noted.
What are the standout features?In industries like banking and finance, organizations utilize LogRhythm SIEM for centralized log management, security monitoring, and compliance. It helps detect insider threats, analyze server logs, correlate events, and monitor user behaviors. Appreciated for log ingestion and anomaly identification, it ensures robust cybersecurity and incident response by integrating data from multiple sources.
Splunk Enterprise Security delivers powerful log management, rapid searches, and intuitive dashboards, enhancing real-time analytics and security measures. Its advanced machine learning and wide system compatibility streamline threat detection and incident response across diverse IT environments.
Splunk Enterprise Security stands out in security operations with robust features like comprehensive threat intelligence and seamless data integration. Its real-time analytics and customizable queries enable proactive threat analysis and efficient incident response. Integration with multiple third-party feeds allows detailed threat correlation and streamlined data visualization. Users find the intuitive UI and broad compatibility support efficient threat detection while reducing false positives. Despite its strengths, areas such as visualization capabilities and integration processes with cloud environments need enhancement. Users face a high learning curve, and improvements in automation, AI, documentation, and training are desired to maximize its potential.
What Are the Key Features of Splunk Enterprise Security?In specific industries like finance and healthcare, Splunk Enterprise Security is instrumental for log aggregation, SIEM functionalities, and compliance monitoring. Companies leverage its capabilities for proactive threat analysis and response, ensuring comprehensive security monitoring and integration with various tools for heightened operational intelligence.