We performed a comparison between Graylog and Nagios Log Server 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 correlation and the alerting."
"We have scaled from a single machine installation (a VM with a Graylog + ES + MongoDB) to (2 Graylog + 2 ES + 3 MongoDB). This was done smoothly with a minimal impact on logging."
"I am very proud of how very stable the solution is."
"The build is stable and requires little maintenance, even compared to some extremely expensive products."
"Graylog's search functionality, alerting functionality, user management, and dashboards are useful."
"This had increased productivity for the dev and support teams, because we are directly notifying them."
"One of the most valuable features is that you are able to do a very detailed search through the log messages in the overview."
"Allowing us to set up alerts and integrate with platforms we already use, such as Slack and OpsGenie to alert users of these errors proactively, is also a very useful feature."
"The initial setup of Nagios Log Server was easy and straightforward."
"A great feature of the solution involves its internal portal."
"One of the most valuable features is the dashboard because the UI was effective and easy to use. The alert systems are good as well. We had no failovers and had high availability. We can search the queries fast as well in Nagios Log Server."
"The product is scalable."
"It provides an easy way to identify errors and spot issues, making troubleshooting more efficient."
"Graylog can improve the index rotation as it's quite a complex solution."
"I would like to see a default dashboard widget that shows the topology of the clusters defined for the graylog install."
"Graylog needs to improve their authentication. Also, the fact that Graylog displays logs from the top down is just ridiculous."
"The biggest problem is the collector application, as we wanted to avoid using Graylog Collector Sidecar due to its architecture."
"More complex visualizations and the ability to execute custom Elasticsearch queries would be great."
"Dashboards, stream alerts and parsing could be improved."
"I would like to see some kind of visualization included in Graylog."
"It would be great if Graylog could provide a better Python package in order to make it easier to use for the Python community."
"It would be beneficial for Nagios to incorporate a tool that goes beyond log management and includes features to monitor overall system health and assess the effectiveness of antivirus solutions."
"The configurations during initial setup could be improved. If they could be agentless, as in the case of the Ansible product, it would be better. I would like to be able to analyze the network bandwidth."
"The customization and dashboards have shortcomings and need to be improved to make the tool look more presentable."
"As we are talking about a product which is open to the public, the pricing makes it challenging for us to profit off of its marketing."
"The support could be better."
Graylog is ranked 11th in Log Management with 18 reviews while Nagios Log Server is ranked 38th in Log Management with 5 reviews. Graylog is rated 8.0, while Nagios Log Server is rated 7.8. The top reviewer of Graylog writes "Great detailed search features and easy Java integration, but needs improvement in integration with Python". On the other hand, the top reviewer of Nagios Log Server writes "A scalable and affordable tool for monitoring data centers ". Graylog is most compared with Grafana Loki, Wazuh, syslog-ng, Splunk Enterprise Security and Security Onion, whereas Nagios Log Server is most compared with Wazuh, LogRhythm SIEM, syslog-ng, SolarWinds Kiwi Syslog Server and Fortinet FortiAnalyzer. See our Graylog vs. Nagios Log Server report.
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We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.