We performed a comparison between Elastic Stack and Grafana Loki 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 think the ecosystem is well supported, and for logs, it was faster compared to our previous previous log management."
"Elastic Stack is mainly used to monitor servers and APIs. It helps ensure the software's availability and sends notifications at the right time so the system is not down for a long time. The tool's stability and advanced features, such as anomaly detection, are the most valuable features. The benefit of using it is real-time monitoring."
"Prior to the latest updates, data lake management was a standout feature. The hybrid capability for on-premise and cloud integration was also crucial. Now, with Elastic Defense, the agent simplifies security monitoring, making it a key asset."
"The machine learning capabilities are valuable."
"The solution's technical support is good...Elastic Stack offers good value for value for money based on the product's features and what they offer."
"The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it performed admirably. The alerting system is excellent, and searching through logs is incredibly efficient. What's impressive is that all three products or options are integrated into one solution. This means I don't need separate logging, monitoring, or antivirus solutions."
"It is a very scalable solution...I didn't face any problem with this scalability part of the solution since we only have a few pieces of equipment in our company."
"The biggest strength of Elastic Stack is its brilliant archiving capabilities."
"The most valuable features of the solution stem from the fact that it is an open-source tool that is stable and flexible."
"The tool can be used in multi-cluster environments."
"The solution's stability has never been a problem. Stability-wise, I rate the solution a nine to ten out of ten."
"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 effectiveness of filters is pivotal for optimizing the search process and extracting the specific information we need from the extensive log data."
"The most valuable feature is the capability to set up alerts, which becomes necessary when we need to receive notifications for specific events."
"I appreciate the capability to process logs from microservices and seamlessly integrate them into Grafana."
"The most valuable feature of Grafana Loki is the dashboards which are really simple to create."
"The solution is expensive, particularly the training and certification. If customers want to increase their use of Elastic Stack, they should consider reducing the cost of certification and training."
"The implementation of dashboards in the solution needs to be made easier...I had some issues with the ports and configuration since it was kind of complex to implement with Docker."
"When people try to move the data from another source to Elastic Stack for visualization, they face challenges when connecting to Elastic Stack from such different sources."
"AI-enablement would be a big improvement in Elastic Stack...If there is room for an ML model in Elastic Stack, then it would be good."
"Improvements are needed in the solution in areas like SOAR and TIP, where there are certain shortcomings."
"The main issue related to Elastic Stack is in the area of its licensing."
"It lacks a clear NDR (Network Detection and Response) feature. If Elastic could enhance this aspect, it would significantly boost its capabilities."
"Agent deployment is a little tough in the on-premise version."
"The solution has shortcomings regarding security monitoring-oriented features that need improvement."
"The correlation of requests is not simple in Grafana Loki and can be improved."
"The solution's scalability depends on the team managing the Grafana instance."
"We encountered certain limitations when it came to alerting, particularly when dealing with specific data sources."
"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."
"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 product must improve its UI."
"Enhancing speed could be a game-changer, and while it might vary depending on the application, it's a factor worth exploring."
Elastic Stack is ranked 15th in Log Management with 11 reviews while Grafana Loki is ranked 13th in Log Management with 12 reviews. Elastic Stack is rated 8.4, while Grafana Loki is rated 8.0. The top reviewer of Elastic Stack writes "A stable product that can be fine-tuned easily". On the other hand, 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". Elastic Stack is most compared with Security Onion, Wazuh, Falcon LogScale, syslog-ng and Seq, whereas Grafana Loki is most compared with Graylog, Wazuh, syslog-ng, Splunk Enterprise Security and Seq. See our Elastic Stack vs. Grafana Loki report.
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