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 Security Information and Event Management (SIEM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
"In Azure Sentinel, we have found, they do have a store in their capability. AI and intelligence features. We found that to be very helpful for us because some other things we do need to integrate again or find another vendor for the store"
"The solution has features that helped improve the security posture of our clients. It provides the ability to correlate a large variety of log sources very cost-effectively, especially for Microsoft sources."
"The log query feature has been the most valuable because it's very good. You can put your data on the cloud and run queues from Sentinel. It will do it all very fast. I love that I don't have to upload it to an Excel file and then manually look for a piece of information. Sentinel is much faster and is good for big databases."
"I believe one of the main advantages is Microsoft Sentinel's seamless integration with other Microsoft products."
"Sentinel enables us to ingest data from our entire ecosystem. In addition to integrating our Cisco ASA Firewall logs, we get our Palo Alto proxy logs and some on-premises data coming from our hardware devices... That is very important and is one way Sentinel is playing a wider role in our environment."
"The analytic rule is the most valuable feature."
"Sentinel has an intuitive, user-friendly way to visualize the data properly. It gives me a solid overview of all the logs. We get a more detailed view that I can't get from the other SIEM tools. It has some IP and URL-specific allow listing"
"Its inbuilt Kusto Query Language is a valuable feature. It provides the flexibility needed to leverage advanced data analytics rules and policies and enables us to easily navigate all our security events in a single view. It helps any user easily understand the data or any security lags in their data and applications."
"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."
"Great for scaling productivity for log monitoring purposes."
"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."
"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."
"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."
"An engineer can live-monitor all the flow happening in real-time. This would help us a lot while investigating a case, and it would even help us with preventive actions."
"Customer service is very good and very helpful."
"Senses, tracks, and links significant incidents and threats."
"It is a pretty solid product for the type that it is representing. It is a CM solution as compared to Splunk or ArcSight from HP. It is also user friendly. It comes with some internal AI as well, in which it automatically maps multiple lots from unrelated devices and makes a smart decision to link them back and create an offense based on that. It is a smart tool."
"It provides many options for searching. I can see devices from different vendors, like Cisco, in one interface, which is good for me."
"It also has a graph that shows the traffic history. I can see what happened yesterday or today. If there's an incident, I can check the traffic behavior on QRadar."
"The product can scale."
"There are a lot of great out-of-the-box features included."
"Azure Sentinel will be directly competing with tools such as Splunk or Qradar. These are very established kinds of a product that have been around for the last seven, eight years or more."
"Sentinel provides decent visibility, but it's sometimes a little cumbersome to get to the information I want because there is so much information. I would also like to see more seamless integration between Sentinel and third-party security products."
"When we pass KPIs to the governance department, there's no option to provide rights to the data or dashboard to colleagues. We can use Power BI for this, but it isn't easy or convenient. They should just come up with a way to provide limited role-based access to auditing personnel"
"Sentinel could improve its ticketing and management. A few customers I have worked with liked to take the data created in Sentinel. You can make some basic efforts around that, but the customers wanted to push it to a third-party system so they could set up a proper ticketing management system, like ServiceNow, Jira, etc."
"Documentation is the main thing that could be improved. In terms of product usage, the documentation is pretty good, but I'd like a lot more documentation on Kusto Query Language."
"The solution could improve the playbooks."
"We do have in-built or out-of-the-box metrics that are shown on the dashboard, but it doesn't give the kind of metrics that we need from our environment whereby we need to check the meantime to detect and meantime to resolve an incident. I have to do it manually. I have to pull all the logs or all the alerts that are fed into Sentinel over a certain period. We do this on a monthly basis, so I go into Microsoft Sentinel and pull all the alerts or incidents we closed over a period of thirty days."
"They should integrate it with many other software-as-a-service providers and make connectors available so that you don't have to do any sort of log normalization."
"There are currently some issues with machine learning plug-ins."
"Dependency on the DNIF support team was frustrating."
"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."
"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 EBA could be improved."
"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."
"The solution's command line should be simpler so that routine commands can be used."
"They should introduce some automation into the product."
"I would also like to see more integration with other vendors. IBM doesn't integrate well with products from China, like Huawei. Many Middle Eastern customers are switching to Huawei from American vendors like Cisco because of the price. In most RFPs, Huawei wins because it costs less."
"QRadar's performance has room for improvement because it cannot handle the volume. I need massive amounts of logs from various devices in our existing network architecture. IBM needs to improve QRadar's capacity to handle more logs."
"I would like to see some artificial intelligence and alternative solutions."
"They should speed up the incident response and also, at the same time, reduce the amount of manual effort that is required."
"You can scale IBM QRadar User Behavior Analytics, but it has room for improvement."
"Before we didn't have any security issues but recently a few of the user emails were hacked. We had to actually recreate their emails for them."
"The dashboard and reports are not user-friendly or efficient so are of little help with threat hunting activity."
DNIF HYPERCLOUD is ranked 22nd in Security Information and Event Management (SIEM) with 7 reviews while IBM Security QRadar is ranked 4th in Security Information and Event Management (SIEM) 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, Wazuh and Rapid7 InsightOps, 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 Security Information and Event Management (SIEM) vendors, best Log Management vendors, and best User Entity Behavior Analytics (UEBA) vendors.
We monitor all Security Information and Event Management (SIEM) 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.
