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."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"It's easy to deploy, and it's very flexible."
"The product has connectors to many services."
"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."
"Machine learning is the most valuable feature of this solution."
"It has always been a stable solution."
"The best feature of Grafana Loki is that it integrates well with our other tool."
"The most valuable feature is the capability to set up alerts, which becomes necessary when we need to receive notifications for specific events."
"The most valuable feature of the solution is the tool's GUI. The solution's GUI is very user-friendly."
"The most valuable feature of Grafana Loki is the dashboards which are really simple to create."
"I appreciate the capability to process logs from microservices and seamlessly integrate them into Grafana."
"We are using Grafana Loki as a database for real-time metrics."
"The tool can be used in multi-cluster environments."
"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 needs to have better standardization, logging, and schema."
"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."
"Elastic Observability’s price could be improved."
"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."
"There is room for improvement regarding its APM capabilities."
"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."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"In Grafana Loki, the creation of metrics is not so easy, making it an area that could be made easier."
"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."
"The correlation of requests is not simple in Grafana Loki and can be improved."
"The product must improve its UI."
"The Docker container partition feature needs improvement as they do not reuse the space and goes into a pending state."
"Enhancing speed could be a game-changer, and while it might vary depending on the application, it's a factor worth exploring."
"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."
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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