"The solution has made it easier for us to trace the problems that we have with our requests and to monitor the timing of each step in each request we do in our endpoints."
"Straightforward to integrate and automate."
"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"Datadog has given us near-live visibility across our entire cloud platform."
"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
"The application performance monitoring is pretty good."
"We find they have a very helpful alert system."
"The user interface is sometimes kind of confusing to understand. It's not very user-friendly."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"While I like the ease of use, when compared with Tenable Nessus they could still improve their usability."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"I'm not sure what kind of features are in the roadmap right now, but I encourage the development of features for defining your organization, and allowing the visibility of what kind of metrics you can get. Those features would be really useful for us."
"Could be a little more user friendly."
"The error traceability is an area that can be improved."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
Earn 20 points
AWS X-Ray is ranked 22nd in Application Performance Management (APM) with 1 review while Datadog is ranked 2nd in Application Performance Management (APM) with 32 reviews. AWS X-Ray is rated 7.0, while Datadog is rated 8.4. The top reviewer of AWS X-Ray writes "Scalable and good for tracing problems, but hard to configure". On the other hand, the top reviewer of Datadog writes "Provides insightful analytics and good visibility that assist with making architectural decisions". AWS X-Ray is most compared with New Relic APM, Google Stackdriver, Elastic Observability, Azure Monitor and Dynatrace, whereas Datadog is most compared with Dynatrace, New Relic APM, Azure Monitor, Splunk and VMware Tanzu Observability by Wavefront.
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