We performed a comparison between DNIF HYPERCLOUD and IBM Security QRadar based on real PeerSpot user reviews.
Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
"The pricing of the product is excellent."
"We are able to deploy within half an hour and we only require one person to complete the implementation."
"It has a lot of great features."
"We can use Sentinel's playbook to block threats. It covers all of the environment, giving us great visibility."
"The data connectors that Microsoft Sentinel provides are easy to integrate when we work with a Microsoft agent."
"The automation feature is valuable."
"If you know how to do KQL (kusto query language) queries, which are how you query the log data inside Sentinel, the information is pretty rich. You can get down to a good level of detail regarding event information or notifications."
"I like the unified security console. You can close incidents using Sentinel in all other Microsoft Security portals, when it comes to incident response."
"Great for scaling productivity for log monitoring purposes."
"The response time on queries is super-fast."
"The solution is quite stable and offers good performance. It also works on a virtual machine. We haven't found any issues with it so far. It's been reliable."
"The User Behavior Analytics is a built-in threat-hunting feature. It detects and reports on any kind of malware or ransomware that enters the network."
"I like the MITRE table, a feature I saw for the first time in the same solution. There was one MITRE tactic table, which can be used to identify threats if you have all kinds of rules enabled or if you have rules for all the tactics in the MITRE table. There are 14 tables in MITRE, and those 14 tables consist of multiple columns, tactics, and techniques. It was one of the first SIEM tools I saw that had that particular MITRE table. On that basis, you can create new rules and identify existing ones. At any point, if an alert is triggered, it will try to match it to any of those MITRE tactics. I liked that creating a workbook on MITRE business was straightforward. I also like that you can search using SQL or DQL."
"Has a great search capability."
"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"This is a distributed application, meaning that a customer can stack small and then scale it so that they can expand pretty effectively. You can use, basically, the same product in an SMB or a large enterprise."
"This solution has excellent security analytics."
"The ability to add extensions is the most valuable feature. For example, extensions that provide valuable test ports."
"The features that I have found most valuable in QRadar are its data enrichment, use case creations, and adding references - those kinds of features are very good. Also QRadar's event filtration and device integration are perfect."
"No doubt about it, the solution is extremely stable."
"It protect us from multiple authentication values, unauthorized access and antivirus threats."
"Most of our clients are interested in automation. The automation part is good because they are able to detect threats and vulnerabilities in real time. It's very fast."
"The product provides a complete platform for ingesting the log, doing the correlations and handling the runtime."
"I would like to see more AI used in processes."
"They need to work with other security vendors. For example, we replaced our email gateway with Symantec, but we couldn't collect these logs with Azure Sentinel. Instead of collecting these logs with Azure Sentinel, we are collecting them on Qradar. We couldn't do it with Sentinel, which is a problem for us."
"Its documentation is not so simple. It is easy for somebody who is Microsoft certified or more closely attached to Microsoft solutions. It is not easy for those who are working on open-source platforms. There isn't a central point where everything is documented, and there is no specific training or certification."
"The KQL query does not function effectively with Windows 11 machines, and in the majority of machine-based investigations, KQL queries are essential for organizing the data during investigations."
"There are certain delays. For example, if an alert has been rated on Microsoft Defender for Endpoint, it might take up to an hour for that alert to reach Sentinel. This should ideally take no more than one or two seconds."
"The playbook development environment is not as rich as it should be. There are multiple occasions when we face problems while creating the playbook."
"They could use some kind of workbook. There is some limitation doing the editing and creating the workbook."
"It would be good to have some connectors for third-party SIEM solutions. Many customers are struggling with the integration of Azure Sentinel with their on-premise SIEM. Microsoft is changing the log structure many times a year, which can corrupt a custom integration. It would be good to have some connectors developed by Microsoft or supply vendors, but they are not providing such functionality or tools."
"The vendor is fairly new and it's not as big as some of the international competitors. It's not a mature product. If you ask them to move data, it might take a lot of time."
"The solution's command line should be simpler so that routine commands can be used."
"The solution should be able to connect to endpoints, such as desktops and laptops... If this solution had a smart connector to these logs- Windows, Linux, or any other logs - without affecting the performance of the connector, that would be wonderful."
"Dependency on the DNIF support team was frustrating."
"The EBA could be improved."
"There are currently some issues with machine learning plug-ins."
"I think DNIF HYPERCLOUD can implement the ability to export more than 100,000. At the moment, we can't go beyond that. So many times, if you're checking for the firewall logs and working on something related to authentication or network-related traffic, while that log count is low, the account goes beyond that. You can't restrict the logs or the amount of data you can export. It's very important for my situation. It would be better if they could increase the capacity of exports. Although there are many more types of searching in DNIF HYPERCLOUD, people still struggle to query out what they want because not everyone is good at SQL or DQL. The easiest way to query out in DNIF is using the GUI-based interface. But in the GUI interface, you can use operator calls. It gets tricky when you want to search for a specific type of event. You don't know where it will be passed and whether it will be consistent. In the initial phase, it's tough for us to use DNIF. You cannot pass every event in a stable DNIF. When we used that particular tool, we used to get those logs, but sometimes many things are not getting passed. So, we used to export the sheet or export the data into Excel and weigh the required details. In the next release, I would like them to improve the export of the columns and make the application more user-friendly. I would also like a threat-hunting feature in the next release."
"The only challenge with products like IBM is the EPS. You just have to be really on the events per second, as that's where the cost factor becomes a huge issue."
"IBM QRadar could improve the plugins and threat detection."
"I need a solution which will send alerts in the event of any behavior."
"The quality of technical support depends on the IBM support person. Sometimes, it's hard to get the right person on the other side. A ticket coordinator could be the key to better quality delivery."
"I don't look at only the features and benefits; I also look at the price. It is a bit expensive when compared with other solutions. It is expensive for specific deployment topologies, and the decision-makers go for alternatives like ArcSight. It should also have more AI features or capabilities for better threat intelligence. The more it uses machine learning, the better would be the dashboard, analytics, and other things."
"There is one problem with QRadar in regards to the add-on apps. The apps can be frustrating. For example, when I add a big app like one of the add-ons for resiliency, add-on applications for QRadar, these applications require different hardware to implement and to deploy. The resiliency connector because there's a considerable amount of data scanning, operates for these apps correctly."
"Whenever we are upgrading or installing any type of patch, at that time we have some delays."
"IBM QRadar User Behavior Analytics could improve machine learning use cases because they are limited and most of the use cases are rule-based. They should develop more use cases, such as in Securonix or Exabeam because they will detect a threat. Using machine learning is mainly on the correlation rules, but if you think about Exabeam or Securonix, they detect using machine learning or machine learning-based algorithms."
DNIF HYPERCLOUD is ranked 25th in Log Management with 7 reviews while IBM Security QRadar is ranked 6th in Log Management with 198 reviews. DNIF HYPERCLOUD is rated 7.6, while IBM Security QRadar is rated 8.0. The top reviewer of DNIF HYPERCLOUD writes "Development from open sources is very valuable but a huge infrastructure is required". On the other hand, the top reviewer of IBM Security QRadar writes "A highly stable and scalable solution that provides good technical support". DNIF HYPERCLOUD is most compared with Splunk Enterprise Security and Wazuh, whereas IBM Security QRadar is most compared with Splunk Enterprise Security, Wazuh, LogRhythm SIEM, Elastic Security and Sentinel. See our DNIF HYPERCLOUD vs. IBM Security QRadar report.
See our list of best Log Management vendors, best User Entity Behavior Analytics (UEBA) vendors, and best Security Orchestration Automation and Response (SOAR) vendors.
We monitor all Log Management 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.
