We performed a comparison between Elastic Observability 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 price is very less expensive compared to the other solutions."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"It has always been a stable solution."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"Machine learning is the most valuable feature of this solution."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"The best feature of Grafana Loki is that it integrates well with our other tool."
"We are using Grafana Loki as a database for real-time metrics."
"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 solution's stability has never been a problem. Stability-wise, I rate the solution a nine to ten out of ten."
"The log collection feature is good and the solution is easily understandable. v"
"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."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"There's a steep learning curve if you've never used this solution before."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"There could be more low-code features included in the product."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"More web features could be added to the product."
"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."
"The correlation of requests is not simple in Grafana Loki and 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."
"We encountered certain limitations when it came to alerting, particularly when dealing with specific data sources."
"The product must improve its UI."
"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."
Elastic Observability is ranked 14th in Log Management with 22 reviews while Grafana Loki is ranked 13th in Log Management with 12 reviews. Elastic Observability is rated 7.8, while Grafana Loki is rated 8.0. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". 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 Observability is most compared with Dynatrace, New Relic, Azure Monitor, Sentry and AppDynamics, whereas Grafana Loki is most compared with Graylog, Wazuh, syslog-ng, Splunk Enterprise Security and Fortinet FortiAnalyzer. See our Elastic Observability vs. Grafana Loki report.
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