We performed a comparison between Datadog 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 observability on offer is the most useful aspect of the product."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"Overall, the Data UI and the usability of customer features continue to improve."
"The feature I have found most valuable is when I can reuse existing monitors and alerts for new dashboards."
"The initial setup is very straightforward."
"The solution has helped out organization gain improved visibility."
"The interface and the integrations make it so easy to connect to the cloud or to the on-premise environment."
"Datadog dashboards are pretty great."
"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 solution's stability has never been a problem. Stability-wise, I rate the solution a nine to ten out of ten."
"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."
"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."
"I appreciate the capability to process logs from microservices and seamlessly integrate them into Grafana."
"The more tools that they can build that allow you to run AWX playbooks, or other similar fixes, would benefit clients greatly."
"Datadog could be improved if it could detect other software in a container or server."
"The documentation leaves a lot to be desired for new users."
"Datadog has a lot of features kind of cramped into one dashboard. It's quite hard to get around what feature does exactly what. There was a steep learning curve, trying to navigate through menus."
"More granular control over dashboard sharing. Timeboard sharing."
"It seems that admin cost control granularity is an afterthought."
"Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."
"The parallel editing of the dashboards should not cause users to lose the work of another person."
"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."
"Enhancing speed could be a game-changer, and while it might vary depending on the application, it's a factor worth exploring."
"We encountered certain limitations when it came to alerting, particularly when dealing with specific data sources."
"The product must improve its UI."
"The solution has shortcomings regarding security monitoring-oriented features that need improvement."
"The solution's scalability depends on the team managing the Grafana instance."
"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."
Datadog is ranked 3rd in Log Management with 137 reviews while Grafana Loki is ranked 13th in Log Management with 12 reviews. Datadog is rated 8.6, while Grafana Loki is rated 8.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". 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". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas Grafana Loki is most compared with Graylog, Wazuh, syslog-ng, Splunk Enterprise Security and Elastic Stack. See our Datadog vs. Grafana Loki report.
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