Coralogix vs DNIF HYPERCLOUD comparison

"The solution offers very good convenience filtering."

"For now, we have not experienced any stability issues."

"Coralogix has positively impacted my organization by providing a centralized console to monitor the dashboard, giving me rich flexibility to see different sorts of data that is spread across the logs, metrics, or traces, which are the typical pillars of the observability tool."

"In my experience, the best feature Coralogix offers is that the dashboard is pretty good."

"Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams."

"The overall stability and reliability of Coralogix are excellent, and I rarely encounter issues."

"A non-tech person can easily get used to it."

"Coralogix scales well, and I will rate it nine out of ten."

"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."

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

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

"Great for scaling productivity for log monitoring purposes."

"Has a great search capability."

"Maybe they could make it more user-friendly."

"In terms of documentation, I think there can be more user-friendly documentation that stresses more on day-to-day issues."

"Coralogix's dashboard and search capabilities do not help me in any particular way."

"The customizable dashboards haven't really helped with my company's efficiency at all, and I think there's room for improvement."

"From my experience, Coralogix has horrible Terraform providers."

"The documentation of the tool could be improved"

"The user interface could be more intuitive and explanatory."

"Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions. The increasing volume of data and the resulting bandwidth charges are concerns."

"Dependency on the DNIF support team was frustrating."

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

"The EBA could be improved."

"The solution's command line should be simpler so that routine commands can be used."

"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."

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

"We are paying roughly $5,000 a month."

"Currently, we are at a very minimal cost, which is around $400 per month since we have reduced our usage. Initially, we were at $900 per month."

"The cost of the solution is per volume of data ingested."

"The platform has a reasonable cost. I rate the pricing a three out of ten."

"The pricing is based on the log size."

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