We performed a comparison between DNIF HYPERCLOUD and Wazuh 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."I like the ability to run custom KQL queries. I don't know if that feature is specific to Sentinel. As far as I know, they are using technology built into Azure's Log Analytics app. Sentinel integrates with that, and we use this functionality heavily."
"The SOAR playbooks are Sentinel's most valuable feature. It gives you a unified toolset for detecting, investigating, and responding to incidents. That's what clearly differentiates Sentinels from its competitors. It's cloud-native, offering end-to-end coverage with more than 120 connectors. All types of data logs can be poured into the system so analysis can happen. That end-to-end visibility gives it the advantage."
"I like the KQL query. It simplifies getting data from the table and seeing the logs. All you need to know are the table names. It's quite easy to build use cases by using KQL."
"The initial setup is very simple and straightforward."
"Microsoft Sentinel provides the capability to integrate different log sources. On top of having several data connectors in place, you can also do integration with a threat intelligence platform to enhance and enrich the data that's available. You can collect as many logs and build all the use cases."
"Azure Application Gateway makes things a lot easier. You can create dashboards, alert rules, hunting and custom queries, and functions with it."
"Microsoft Sentinel enables you to ingest data from the entire ecosystem and that connection of data helps you to monitor critical resources and to know what's happening in the environment."
"If you know how to do KQL (kusto query language) queries, which are how you query the log data inside Sentinel, the information is pretty rich. You can get down to a good level of detail regarding event information or notifications."
"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 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."
"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."
"Great for scaling productivity for log monitoring purposes."
"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."
"Has a great search capability."
"The deployment is easy and they provide very good documentation."
"The main thing I like about it is that it has an EDR."
"Wazuh's best features are syscheck, its ability to immediately resolve vulnerabilities, and that it's open source."
"If they support a solution, it is easy to do an integration."
"I find the PCI DSS feature the most valuable, along with the feature that monitors the compliance of Windows and the CIS benchmarks on other devices like Unix or Linux systems."
"Wazuh is simple to use for PCI compliance."
"Wazuh automatically scans the host for CIS benchmarks for the latest updates and vulnerabilities and gives a host score. It provides a percentage of perceived risk due to of non patches or any missing patches on that work."
"The configuration assessment and Pile integrity monitoring features are decent."
"There are certain delays. For example, if an alert has been rated on Microsoft Defender for Endpoint, it might take up to an hour for that alert to reach Sentinel. This should ideally take no more than one or two seconds."
"If I can use Sentinel offline at home and use it on a local network, it would be great. I'm not sure if I can use Sentinel offline versus the tools I have."
"We have been working with multiple customers, and every time we onboard a customer, we are missing an essential feature that surprisingly doesn't exist in Sentinel. We searched the forums and knowledge bases but couldn't find a solution. When you onboard new customers, you need to enable the data connectors. That part is easy, but you must create rules from scratch for every associated connector. You click "next," "next," "next," and it requires five clicks for each analytical rule. Imagine we have a customer with 150 rules."
"The product can be improved by reducing the cost to use AI machine learning."
"Sentinel still has some anomalies. For example, sometimes when we write a query for log analysis with KQL, it doesn't give us the data in a proper way... Also, the fields or columns could be improved. Sometimes, it is not giving the desired results and there is a blank field."
"We'd like to see more connectors."
"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."
"Some of the data connectors are outdated, at least the ones that utilize Linux machines for log forwarding. I believe that Microsoft is already working on improving this."
"There are currently some issues with machine learning plug-ins."
"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 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."
"Dependency on the DNIF support team was frustrating."
"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."
"They need to go towards integrating with more cloud applications and not just OS like Windows and Linux."
"Wazuh doesn't cover sources of events as well as Splunk. You can integrate Splunk with many sources of events, but it's a painful process to take care of some sources of events with Wazuh."
"The technical support can be improved. Wazuh has some bugs that need to be fixed. It would be good if we can have automation with respect to incidence responses."
"The only challenge we faced with Wazuh was the lack of direct support."
"I think that the next release should be more suitable for large enterprises, because currently they are not because large companies do not rely on open source solutions."
"Integration with Vyara could be better."
"I have yet to find the same capability in Wazuh to get logs from different sources into the system"
"The implementation is very complex."
DNIF HYPERCLOUD is ranked 24th in Log Management with 7 reviews while Wazuh is ranked 3rd in Log Management with 38 reviews. DNIF HYPERCLOUD is rated 7.6, while Wazuh is rated 7.4. 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 Wazuh writes "It integrates seamlessly with AWS cloud-native services". DNIF HYPERCLOUD is most compared with IBM Security QRadar and Splunk Enterprise Security, whereas Wazuh is most compared with Elastic Security, Security Onion, Splunk Enterprise Security, AlienVault OSSIM and Fortinet FortiAnalyzer. See our DNIF HYPERCLOUD vs. Wazuh report.
See our list of best Log Management vendors and best Security Information and Event Management (SIEM) vendors.
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