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 most valuable feature of Elastic Observability is the text search."
"Its diverse set of features available on the cloud is of significant importance."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"The product has connectors to many services."
"We can view and connect different sources to the dashboard using it."
"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."
"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."
"The solution allows us to dig deep into data."
"We are using Grafana Loki as a database for real-time metrics."
"The effectiveness of filters is pivotal for optimizing the search process and extracting the specific information we need from the extensive log data."
"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 best feature of Grafana Loki is that it integrates well with our other tool."
"I appreciate the capability to process logs from microservices and seamlessly integrate them into Grafana."
"The log collection feature is good and the solution is easily understandable. v"
"The solution's stability has never been a problem. Stability-wise, I rate the solution a nine to ten out of ten."
"There could be more low-code features included in the product."
"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."
"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."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"The price is the only issue in the solution. It can be made better and cheaper."
"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 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."
"We encountered certain limitations when it came to alerting, particularly when dealing with specific data sources."
"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."
"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."
"The product must improve its UI."
"Visualization-wise, Grafana Loki's dashboard looks a little outdated compared to other open-source visualization tools like Chronograf."
"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 Docker container partition feature needs improvement as they do not reuse the space and goes into a pending state."
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, Datadog and Azure Monitor, 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.
