DNIF HYPERCLOUD vs Swimlane comparison

"Great for scaling productivity for log monitoring purposes."

"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 response time on queries is super-fast."

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

"Has a great search capability."

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

"We are using it for a SOAR platform at a Cyber Security company which is MSSP."

"Swimlane enables two SOC analysts to work efficiently as much as ten analysts would without Swimlane, which translates to significant manpower savings."

"The most valuable feature of the solution is the support."

"The technical support from Swimlane is very good."

"Swimlane saves us 80 to 90 percent of our time by quickly helping us design the journey and efficiently passing information to various components."

"Swimlane is a very effective way to represent workflows involving multiple users."

"On a scale of one to ten, this solution deserves a rating of nine."

"It provides us with a single portal for our logs from different solutions."

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

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

"The EBA could be improved."

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

"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 would prefer to have more colors added to represent different risks or notations, which can be used for the prioritization of risks and the significance of information."

"The stability of the solution has room for improvement."

"Swimlane is not scalable because it is not exposed. Currently, it's a manual component that requires configuration through coding."

"We faced a lot of issues with the product’s stability."

"The initial setup and deployment are complex."

"Swimlane's search bar is not working effectively, and there is no option to differentiate between two cases at the same time."

"There is a need for enhanced version control in Swimlane. Currently, our version does not support it, making it tough to move changes between environments during significant updates."

"I would like to see improvements in the minor bugs that occur with each update, as some features might have issues."

"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."

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