We performed a comparison between Grafana Loki and Logsign Next-Gen SIEM 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 tool can be used in multi-cluster environments."
"The log collection feature is good and the solution is easily understandable. v"
"The most valuable features of the solution stem from the fact that it is an open-source tool that is stable and flexible."
"We are using Grafana Loki as a database for real-time metrics."
"I appreciate the capability to process logs from microservices and seamlessly integrate them into Grafana."
"Loki also utilizes the same service discovery mechanism as used by Prometheus. So, whatever labeled metadata you see in Prometheus, you have the exact same metadata in the Loki system. Given this level of intricacy and the attempt to address these challenges, I firmly believe that Loki deserves praise for the work."
"The most valuable feature is the capability to set up alerts, which becomes necessary when we need to receive notifications for specific events."
"The effectiveness of filters is pivotal for optimizing the search process and extracting the specific information we need from the extensive log data."
"Logsign provides sample logs within the product, allowing users to see how logs will appear before integration, which is a valuable feature for testing and understanding log formats."
"The solution has shortcomings regarding security monitoring-oriented features that need improvement."
"My main concern is the recommended production-grade setup. They suggest using tools like Tanka or Jsonnet. They should simplify the process to increase adoption."
"There is a need for some change in the alerting types of the product. In short, a few changes in the alert area are needed due to minor shortcomings."
"The Docker container partition feature needs improvement as they do not reuse the space and goes into a pending state."
"In Grafana Loki, the creation of metrics is not so easy, making it an area that could be made easier."
"Visualization-wise, Grafana Loki's dashboard looks a little outdated compared to other open-source visualization tools like Chronograf."
"We had a well-structured dashboard with a functional query. However, an issue arose when the Kubernetes pod restarted. The statistics from our Grafana query would reset, dropping to zero and starting anew. This was particularly noticeable with linear graphs, which are expected to show consistent growth."
"The solution's scalability depends on the team managing the Grafana instance."
"I hope they address the pricing model for Logsign Next-Gen SIEM, especially regarding regional variations. The pricing should not differ based on the country of operation as it can lead to dissatisfaction among customers. A fixed pricing structure would be more favorable for us. I would also suggest enhancing the GUI interface and adding features similar to xFi Exchange from IBM Pure. This would streamline operations and save time for analysts."
Grafana Loki is ranked 14th in Log Management with 12 reviews while Logsign Next-Gen SIEM is ranked 44th in Log Management with 2 reviews. Grafana Loki is rated 8.0, while Logsign Next-Gen SIEM is rated 7.6. The top reviewer of Grafana Loki writes "Effective for Logging, recovery from node failures is fast and single UI supports metrics, logs, and even tracing". On the other hand, the top reviewer of Logsign Next-Gen SIEM writes "Easy to use and find the features that you need". Grafana Loki is most compared with Graylog, Wazuh, syslog-ng, Splunk Enterprise Security and Falcon LogScale, whereas Logsign Next-Gen SIEM is most compared with Wazuh, IBM Security QRadar, ManageEngine EventLog Analyzer, Splunk Enterprise Security and Sematext Logs. See our Grafana Loki vs. Logsign Next-Gen SIEM 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.
