We performed a comparison between DNIF HYPERCLOUD and Splunk Enterprise Security 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 UI-based analytics are excellent."
"We are able to deploy within half an hour and we only require one person to complete the implementation."
"The Log analytics are useful."
"The most valuable feature is the performance because unlike legacy SIEMs that were on-premises, it does not require as much maintenance."
"The AI and ML of Azure Sentinel are valuable. We can use machine learning models at the tenant level and within Office 365 and Microsoft stack. We don't need to depend upon any other connectors. It automatically provisions the native Microsoft products."
"It is able to connect to an ever-growing number of platforms and systems within the Microsoft ecosystem, such as Azure Active Directory and Microsoft 365 or Office 365, as well as to external services and systems that can be brought in and managed. We can manage on-premises infrastructure. We can manage not just the things that are running in Azure in the public cloud, but through Azure Arc and the hybrid capabilities, we can monitor on-premises servers and endpoints. We can monitor VMware infrastructure, for instance, running as part of a hybrid environment."
"We can use Sentinel's playbook to block threats. It covers all of the environment, giving us great visibility."
"The features that stand out are the detection engine and its integration with multiple data sources."
"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."
"Great for scaling productivity for log monitoring purposes."
"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 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."
"Has a great search capability."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"it can explain to management about what kind of traffic is visiting the network. It can also explain other traffic coming in and out, along with protecting against malware."
"It is very simple to tweak or write a small piece of glue code to go ahead and create a new dashboard for a business unit to make near real-time decisions to focus more on other geographies when launching the product."
"We were able to create a catalog of dashboards and have a holistic view at all levels. We could understand our business much better. Real-time errors, which were buried in emails before now, surfaced up on dashboards."
"There are quite a lot of things that we find useful. Splunk agents are useful and good. Its UI is quite impressive."
"The most valuable feature is the DSS, also known as SPL, because it allows users to script advanced queries with limited knowledge."
"The most valuable features for us include its robust log management capabilities, which allow us to efficiently handle and retain logs for extended periods as needed."
"The most valuable feature is that it's very good for log aggregation."
"The solution is stable and reliable."
"Everyone has their favorites. There is always room for improvement, and everybody will say, "I wish you could do this for me or that for me." It is a personal thing based on how you use the tool. I do not necessarily have those thoughts, and they are probably not really valuable because they are unique to the context of the user, but broadly, where it can continue to improve is by adding more connectors to more systems."
"The solution could be more user-friendly; some query languages are required to operate it."
"They should just add more and more out-of-the-box connectors. It is quite a new product, and it has a lot of connectors, and even more would be good."
"I can't think of anything other than just getting the name out there. I think a lot of customers don't fully understand the full capabilities of Azure Sentinel yet. It is kind of like when they're first starting to use Azure, it might not be something they first think about. So, they should just kind of get to the point where it is more widely used."
"We are invoiced according to the amount of data generated within each log."
"They're giving us the queries so we can plug them right into Sentinel. They need to have a streamlined process for updating them in the tool and knowing when things are updated and knowing when there are new detections available from Microsoft."
"We'd like also a better ticketing system, which is older."
"I would like Sentinel to have more out-of-the-box analytics rules. There are already more than 400 rules, but they could add more industry-specific ones. For example, you could have sets of out-of-the-box rules for banking, financial sector, insurance, automotive, etc., so it's easier for people to use it out of the box. Structuring the rules according to industry might help us."
"The solution's command line should be simpler so that routine commands can be used."
"The EBA could be improved."
"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."
"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."
"A problem that we had recently had was we licensed it based on how much data you upload to them every day. Something changed in one our applications, and it started generating three to four times as many logs and. So now, we are trying to assemble something with parts of the Splunk API to warn ourselves, then turn it off and throttle it back more. However it would be better if they had something systematically built into the product that if you're getting close to your license, then to shut things down."
"Splunk can be an expensive solution. Technical support could be improved as well."
"The solution could use a different licensing model."
"This is a costly solution."
"Sometimes the communication with support happens with multiple staff. They should reduce the time to resolution."
"We are waiting for Dashboard Studio to mature a little bit more. There are some things that we are using with Classic Dashboards which have not yet made it to Dashboard Studio. We are waiting for that."
". Having a trial version or more training on Splunk would be helpful."
"We would like more integrations with other cloud products, not just AWS, e.g., Azure."
DNIF HYPERCLOUD is ranked 24th in Log Management with 7 reviews while Splunk Enterprise Security is ranked 1st in Log Management with 228 reviews. DNIF HYPERCLOUD is rated 7.6, while Splunk Enterprise Security is rated 8.4. 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 Splunk Enterprise Security writes "It has a drag-and-drop interface, so you don't need to know SQL or Java to construct a query ". DNIF HYPERCLOUD is most compared with IBM Security QRadar and Wazuh, whereas Splunk Enterprise Security is most compared with Wazuh, Dynatrace, IBM Security QRadar, Elastic Security and Azure Monitor. See our DNIF HYPERCLOUD vs. Splunk Enterprise Security report.
See our list of best Log Management vendors and best Security Information and Event Management (SIEM) vendors.
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