We performed a comparison between DNIF HYPERCLOUD and Google Cloud's operations suite (formerly Stackdriver) 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 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 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."
"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."
"Great for scaling productivity for log monitoring purposes."
"The response time on queries is super-fast."
"Has a great search capability."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"I like the monitoring feature."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"Google's technical support is very good."
"The features that I have found most valuable are its graphs - if I need any statistics, in Kubernetes or Kong level or VPN level, I can quickly get the reports."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"It's easy to use."
"We find the solution to be stable."
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"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."
"Dependency on the DNIF support team was frustrating."
"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."
"There are currently some issues with machine learning plug-ins."
"The product provides minimal metrics that are insufficient."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"It could be more stable."
"It is difficult to estimate in advance how much something is going to cost."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it. My request goes through various levels of the Google Cloud Platform (GCP) and comes back to my client machine. Suppose that my request has taken 10 seconds overall, so if I want to break it down, to see where the delay is happening within my architecture, I am not able to find that out using Stackdriver."
"It could be even more automated."
"Lacking sufficient operations documentation."
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DNIF HYPERCLOUD is ranked 24th in Log Management with 7 reviews while Google Cloud's operations suite (formerly Stackdriver) is ranked 27th in Log Management with 9 reviews. DNIF HYPERCLOUD is rated 7.6, while Google Cloud's operations suite (formerly Stackdriver) is rated 7.8. 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 Google Cloud's operations suite (formerly Stackdriver) writes "Good logging and tracing but does need more profiling capabilities". DNIF HYPERCLOUD is most compared with IBM Security QRadar, Splunk Enterprise Security, Microsoft Sentinel and Wazuh, whereas Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Datadog, Azure Monitor, Amazon CloudWatch and Grafana. See our DNIF HYPERCLOUD vs. Google Cloud's operations suite (formerly Stackdriver) report.
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