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."We can view and connect different sources to the dashboard using it."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"I have built a mini business intelligence system based on Elastic Observability."
"Good design and easy to use once implemented."
"The solution has been stable in our usage."
"The solution allows us to dig deep into data."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The most valuable feature of Elastic Observability is the text search."
"The most valuable feature is the capability to set up alerts, which becomes necessary when we need to receive notifications for specific events."
"We are using Grafana Loki as a database for real-time metrics."
"The most valuable feature of Grafana Loki is the dashboards which are really simple to create."
"The log collection feature is good and the solution is easily understandable. v"
"The tool can be used in multi-cluster environments."
"The solution's stability has never been a problem. Stability-wise, I rate the solution a nine to ten out of ten."
"The effectiveness of filters is pivotal for optimizing the search process and extracting the specific information we need from the extensive log data."
"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'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."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"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."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"There is room for improvement regarding its APM capabilities."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"There could be more low-code features included in the product."
"Elastic Observability’s price could be improved."
"The solution's scalability depends on the team managing the Grafana instance."
"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."
"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."
"The solution has shortcomings regarding security monitoring-oriented features that need improvement."
"The correlation of requests is not simple in Grafana Loki and can be improved."
"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."
Elastic Observability is ranked 13th in Log Management with 22 reviews while Grafana Loki is ranked 14th 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 Sentry, 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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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.
