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 flexibility to create notebooks and dashboards and fully customize them gives us a lot of power to track the exact services and endpoints we are working on."
"Datadog documentation on web pages has improved a lot and is pretty easy to follow and find."
"The service catalog helped improve our organization by giving a good view of the flow for our microservices applications."
"The platform appeals to companies spanning many industries on a global scale."
"The performance of Datadog is good."
"It has turned into an operational dashboard. If you felt something is going wrong, you can immediately open up Datadog. It has been our go to application because we know the answer will be there."
"Datadog's log aggregation is really helpful since it lets me and every other engineer on my team login, view, and share logs when we need to debug our application."
"It has saved us a lot of trouble in implementation."
"The most valuable feature of Grafana Loki is the dashboards which are really simple to create."
"I appreciate the capability to process logs from microservices and seamlessly integrate them into Grafana."
"The best feature of Grafana Loki is that it integrates well with our other tool."
"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 solution's stability has never been a problem. Stability-wise, I rate the solution a nine to ten out of ten."
"The most valuable features of the solution stem from the fact that it is an open-source tool that is stable and flexible."
"The log collection feature is good and the solution is easily understandable. v"
"The most valuable feature is the capability to set up alerts, which becomes necessary when we need to receive notifications for specific events."
"Datadog isn't as mature as some of the established players like Dynatrace or Splunk. It's a new product, so they are constantly releasing new features, and I don't have much to complain about."
"All solutions have some area to improve, and in Datadog they can improve their overall technology moving forward."
"This service could be less costly."
"The ability to find what you are looking for when starting out could be improved."
"The current way accounts are billed could be vastly improved - especially when involving multiple organizations across multiple accounts in combination with reserved commitments."
"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 does not have the best interface."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"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 solution's scalability depends on the team managing the Grafana instance."
"Visualization-wise, Grafana Loki's dashboard looks a little outdated compared to other open-source visualization tools like Chronograf."
"Enhancing speed could be a game-changer, and while it might vary depending on the application, it's a factor worth exploring."
"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."
"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."
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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