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 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 is easy to use and easy to deploy. It's a better solution compared to others on the market in terms of being budget friendly for our customers."
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"The most valuable aspects of the product include the APM and profiler."
"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"We like the distributed tracing and flame graphs for debugging. This has been invaluable for us during periods of high traffic or red alert conditions."
"We've been able to glean from the monitors what servers are down, and can alert the team in Slack."
"The integration into AWS is key as well as our software is currently bound to AWS."
"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 feature of the solution is the tool's GUI. The solution's GUI is very user-friendly."
"The most valuable features of the solution stem from the fact that it is an open-source tool that is stable and flexible."
"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 log collection feature is good and the solution is easily understandable. v"
"The tool can be used in multi-cluster environments."
"We are using Grafana Loki as a database for real-time metrics."
"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"The solution needs to integrate AI tools."
"Stability of the product has been a concern for us outside of the primary monitoring agents."
"Could be a little more user friendly."
"Datadog could be improved if it could detect other software in a container or server."
"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."
"It does not have the best interface."
"There are things about it that we would like to be fixed, such as it is taking averages of average. This results in data that we don't expect."
"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."
"In Grafana Loki, the creation of metrics is not so easy, making it an area that could be made easier."
"Visualization-wise, Grafana Loki's dashboard looks a little outdated compared to other open-source visualization tools like Chronograf."
"The solution has shortcomings regarding security monitoring-oriented features that need improvement."
"The Docker container partition feature needs improvement as they do not reuse the space and goes into a pending state."
"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 product must improve its UI."
"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."
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.
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.