We performed a comparison between DNIF HYPERCLOUD and Graylog 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 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."
"Has a great search capability."
"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 beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"Great for scaling productivity for log monitoring purposes."
"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 response time on queries is super-fast."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"This had increased productivity for the dev and support teams, because we are directly notifying them."
"Open source and user friendly."
"I like the correlation and the alerting."
"Everything stands out as valuable, including the fact that I can quantify and qualify the logs, create pipelines and process the logs in any way I like, and create charts or data maps."
"The best feature of Graylog is the Elasticsearch integration. We can integrate and we can run filters, such as an event of interest, and those logs we can send to any SIEM tool or as an analytic. Additionally, there are clear and well-documented implementation instructions on their website to follow if needed."
"Storing logs in Elasticsearch means log retrieval is extremely fast, and full text search is available by default."
"What I like about Graylog is that it's real-time and you have access to the raw data. So, you ingest it, and you have access to every message and every data item you ingest. You can then build analytics on top of that. You can look at the raw data, and you can do some volumetric estimations, such as how big traffic you have, how many messages of data of a type you have, etc."
"The build is stable and requires little maintenance, even compared to some extremely expensive products."
"The EBA could be improved."
"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."
"The solution's command line should be simpler so that routine commands can be used."
"Dependency on the DNIF support team was frustrating."
"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."
"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."
"There should be some user groups and an auto sign-in feature."
"With technical support, you are on your own without an enterprise license."
"I would like to see a default dashboard widget that shows the topology of the clusters defined for the graylog install."
"It would be great if Graylog could provide a better Python package in order to make it easier to use for the Python community."
"We ran into problems with Elasticsearch throwing a circuit-breaking exception due to field data size being too large. It turned out that the heap size directly impacted this size in a high-throughput environment, causing unexplained instability in Graylog. We were able to troubleshoot on the Elasticsearch size, but we should have been able to reference some minimum requirements for Graylog to know that our settings weren't sufficient."
"More complex visualizations and the ability to execute custom Elasticsearch queries would be great."
"The biggest problem is the collector application, as we wanted to avoid using Graylog Collector Sidecar due to its architecture."
"The infrastructure cost is the main issue. I like the rest. If the infrastructure costs could be lower, it would be fantastic."
DNIF HYPERCLOUD is ranked 24th in Log Management with 7 reviews while Graylog is ranked 11th in Log Management with 18 reviews. DNIF HYPERCLOUD is rated 7.6, while Graylog is rated 8.0. 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 Graylog writes "Great detailed search features and easy Java integration, but needs improvement in integration with Python". DNIF HYPERCLOUD is most compared with IBM Security QRadar, Splunk Enterprise Security, Microsoft Sentinel and Wazuh, whereas Graylog is most compared with Grafana Loki, Wazuh, syslog-ng, Splunk Enterprise Security and Fortinet FortiAnalyzer. See our DNIF HYPERCLOUD vs. Graylog report.
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