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."It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"The ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents."
"I have found some of the most valuable features to be the way things all come together that gives us a point of view that is useful. The panel is very beautiful and customizable."
"They have a very good foundation in capturing metrics, logs, and traces. It's a very nice tool for that and it allows you to apply these monitoring tools in almost any technology."
"The management of SLOs and their related burn-rate monitors have allowed us to onboard teams to on-call fast."
"We have way more observability than what we had before - on the application and the overall system."
"Datadog is constantly adding new features."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"The most valuable feature of Grafana Loki is the dashboards which are really simple to create."
"We are using Grafana Loki as a database for real-time metrics."
"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."
"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 best feature of Grafana Loki is that it integrates well with our other tool."
"The tool can be used in multi-cluster environments."
"The most valuable feature of the solution is the tool's GUI. The solution's GUI is very user-friendly."
"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"The way data is represented can be limiting. When I first tried it out a long time ago, you could graph a metric and another metric, and they'd overlay, but you couldn't take the ratio between the two."
"It would be ideal if the product offered a bit more monitoring from our dashboard."
"The on-premise version is very difficult to upgrade."
"At times, it can be hard to generate metrics out of logs."
"Deploying the agents is still very manual."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"It lacks consistency in the APIs."
"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."
"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."
"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."
"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 solution has shortcomings regarding security monitoring-oriented features that need improvement."
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 AppDynamics, 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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