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 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."
"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."
"I have experienced a return on investment from the use of the solution."
"The biggest strength of Elastic Stack is its brilliant archiving capabilities."
"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 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."
"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."
"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 tool can be used in multi-cluster environments."
"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 effectiveness of filters is pivotal for optimizing the search process and extracting the specific information we need from the extensive log data."
"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."
"I appreciate the capability to process logs from microservices and seamlessly integrate them into Grafana."
"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."
"It lacks a clear NDR (Network Detection and Response) feature. If Elastic could enhance this aspect, it would significantly boost its capabilities."
"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."
"The tool's pricing can be improved."
"Improvements are needed in the solution in areas like SOAR and TIP, where there are certain shortcomings."
"Agent deployment is a little tough in the on-premise version."
"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."
"The Docker container partition feature needs improvement as they do not reuse the space and goes into a pending state."
"Visualization-wise, Grafana Loki's dashboard looks a little outdated compared to other open-source visualization tools like Chronograf."
"The solution's scalability depends on the team managing the Grafana instance."
"The correlation of requests is not simple in Grafana Loki and can be improved."
"The solution has shortcomings regarding security monitoring-oriented features that need improvement."
"The product must improve its UI."
"In Grafana Loki, the creation of metrics is not so easy, making it an area that could be made easier."
"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 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.
See our list of best Log Management vendors.
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.
