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."The tool's most powerful aspect is its search engine capability. It's a highly effective and powerful solution for searching. We use it in professional and student projects at universities, and it delivers promising results."
"The machine learning capabilities are valuable."
"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 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."
"I have experienced a return on investment from the use of the solution."
"I think the ecosystem is well supported, and for logs, it was faster compared to our previous previous log management."
"The biggest strength of Elastic Stack is its brilliant archiving capabilities."
"The most valuable feature of Grafana Loki is the dashboards which are really simple to create."
"The most valuable features of the solution stem from the fact that it is an open-source tool that is stable and flexible."
"The best feature of Grafana Loki is that it integrates well with our other tool."
"The tool can be used in multi-cluster environments."
"I appreciate the capability to process logs from microservices and seamlessly integrate them into Grafana."
"The log collection feature is good and the solution is easily understandable. v"
"We are using Grafana Loki as a database for real-time metrics."
"The most valuable feature is the capability to set up alerts, which becomes necessary when we need to receive notifications for specific events."
"The main issue related to Elastic Stack is in the area of its licensing."
"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."
"Elastic Stack's search capabilities can be challenging, especially when searching for precise data from past years, such as two or ten years ago. Its indexing performance for exact data retrieval may decrease as the data volume grows. Therefore, I believe there is room for improvement in the product's search functionality. It needs to improve its pricing as well."
"Agent deployment is a little tough in the on-premise version."
"Improvements are needed in the solution in areas like SOAR and TIP, where there are certain shortcomings."
"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."
"It lacks a clear NDR (Network Detection and Response) feature. If Elastic could enhance this aspect, it would significantly boost its capabilities."
"The tool's pricing can be improved."
"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."
"In Grafana Loki, the creation of metrics is not so easy, making it an area that could be made easier."
"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."
"The Docker container partition feature needs improvement as they do not reuse the space and goes into a pending state."
"The correlation of requests is not simple in Grafana Loki and can be improved."
"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."
"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."
Elastic Stack is ranked 16th 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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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.
