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."Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"I have built a mini business intelligence system based on Elastic Observability."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"It has always been a stable solution."
"Good design and easy to use once implemented."
"The solution has been stable in our usage."
"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 features of the solution stem from the fact that it is an open-source tool that is stable and flexible."
"The most valuable feature of the solution is the tool's GUI. The solution's GUI is very user-friendly."
"The effectiveness of filters is pivotal for optimizing the search process and extracting the specific information we need from the extensive log data."
"The solution's stability has never been a problem. Stability-wise, I rate the solution a nine to ten out of ten."
"I appreciate the capability to process logs from microservices and seamlessly integrate them into Grafana."
"The most valuable feature is the capability to set up alerts, which becomes necessary when we need to receive notifications for specific events."
"The tool can be used in multi-cluster environments."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"More web features could be added to the product."
"The price is the only issue in the solution. It can be made better and cheaper."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"There is room for improvement regarding its APM capabilities."
"Enhancing speed could be a game-changer, and while it might vary depending on the application, it's a factor worth exploring."
"The correlation of requests is not simple in Grafana Loki and can be improved."
"The product must improve its UI."
"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."
"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."
"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, AppDynamics, Azure Monitor and Datadog, 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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