DNIF HYPERCLOUD vs Nagios Log Server comparison

"The most valuable feature of the solution is the number of EPS it can handle."

"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."

"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."

"Has a great search capability."

"Great for scaling productivity for log monitoring purposes."

"The response time on queries is super-fast."

"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."

"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."

"A great feature of the solution involves its internal portal."

"One of the most valuable features is the dashboard because the UI was effective and easy to use. The alert systems are good as well. We had no failovers and had high availability. We can search the queries fast as well in Nagios Log Server."

"The initial setup of Nagios Log Server was easy and straightforward."

"The product is scalable."

"Dependency on the DNIF support team was frustrating."

"There are currently some issues with machine learning plug-ins."

"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."

"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."

"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."

"The EBA could be improved."

"The support could be better."

"As we are talking about a product which is open to the public, the pricing makes it challenging for us to profit off of its marketing."

"The customization and dashboards have shortcomings and need to be improved to make the tool look more presentable."

"The configurations during initial setup could be improved. If they could be agentless, as in the case of the Ansible product, it would be better. I would like to be able to analyze the network bandwidth."

"The solution requires a huge infrastructure and that is costly."

"Price-wise, the product is quite economical. I rate the solution's price as three or four on a scale of one to ten, where one is considered to be a very economically priced tool."

"The pricing is based on the log size."

"On a scale of one to ten, where one is expensive, and ten is cheap, I rate the pricing an eight or nine."

"We found the pricing to be quite affordable."

"For a single instance, the price is around $4,000."