IBM Security QRadar and Datadog both compete in the cybersecurity and monitoring solutions category. Datadog appears to have the upper hand with its user-friendly interface and superior real-time visibility which is key for quick issue detection.
Features: IBM Security QRadar is noted for its effective log management, extensive SIEM capabilities, and ease of installation. Its scalability and robust feature set make it suitable for complex security monitoring. Datadog excels in monitoring and visualization, offering strong integrations and intuitive dashboards. Users value its real-time visibility and seamless monitoring of infrastructure and applications.
Room for Improvement: Users highlight that IBM Security QRadar could benefit from simplifying its interface and enhancing its incident management features and analytics. Improvements in integration with other systems are also noted. For Datadog, suggestions include more transparent pricing and refining the UI. Enhancing its security monitoring capabilities would also be beneficial.
Ease of Deployment and Customer Service: IBM Security QRadar is primarily deployed on-premises, making it ideal for organizations with substantial infrastructure needs. While customer service is generally good, responsiveness can vary. Datadog offers extensive support for cloud environments, with consistent and helpful customer service, making it agile in resolving issues.
Pricing and ROI: IBM Security QRadar's pricing, based on EPS and flows, makes it more suitable for larger enterprises, but it offers good ROI due to its security capabilities. Datadog provides transparent, usage-based pricing, which can be costly if not managed, yet it offers significant value through its comprehensive monitoring features.
With SOAR, the workflow takes one minute or less to complete the analysis.
Investing this amount was very much worth it for my organization.
This process can result in outages lasting three to four hours.
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.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
I think QRadar is stable and currently satisfies my needs.
The product has been stable so far.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
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.
This would help identify critical or high-priority alarms in QRadar.
The setup cost for Datadog is more than $100.
Splunk is more expensive than IBM Security QRadar.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
The technology itself is generally very useful.
Recently, I faced an incident, a cyber incident, and it was detected in real time.
We have FortiSOAR and IBM Resilient for IBM Security QRadar orchestration.
IBM is seeking information about IBM QRadar because a part of QRadar, especially in the cloud, has been sold to Palo Alto.
Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.
Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.
What are the key features of Datadog?
What benefits and ROI should users look for in reviews?
Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.
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."
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