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 tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"We can view and connect different sources to the dashboard using it."
"The solution has been stable in our usage."
"I have built a mini business intelligence system based on Elastic Observability."
"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."
"The product has connectors to many services."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"The architecture and system's stability are simple."
"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 best feature of Grafana Loki is that it integrates well with our other tool."
"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."
"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 is the capability to set up alerts, which becomes necessary when we need to receive notifications for specific events."
"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."
"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 is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"The interface could be improved."
"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 cost must be made more transparent."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"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 Docker container partition feature needs improvement as they do not reuse the space and goes into a pending state."
"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."
"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."
"In Grafana Loki, the creation of metrics is not so easy, making it an area that could be made easier."
"We encountered certain limitations when it came to alerting, particularly when dealing with specific data sources."
"Visualization-wise, Grafana Loki's dashboard looks a little outdated compared to other open-source visualization tools like Chronograf."
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.
See our list of best Log Management vendors.
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.
