We performed a comparison between AWS X-Ray and Datadog based on real PeerSpot user reviews.
Find out in this report how the two Application Performance Management (APM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."AWS X-RAY identifies bottlenecks in terms of stability and performance and how long certain data lives in terms of response time and duration."
"The most promising feature of AWS X-Ray is that you can debug the issues through the proper logs. You can also get an analysis out of the logs for some use cases, though I have yet to try all the features of AWS X-Ray."
"It is a very scalable solution."
"The most important one is compliance. We're able to achieve our regulatory levels. We're able to achieve the security level that we need for the federal government."
"APM and tracing are super useful."
"It helps us better manage our logs."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"Datadog helps us detect issues early on and helps in troubleshooting."
"The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."
"Overall, the Data UI and the usability of customer features continue to improve."
"The observability on offer is the most useful aspect of the product."
"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
"I do not have any notes in terms of improvements."
"Like most Amazon products, the user interface, configuration, and tuning aren't the easiest. That's the biggest reason why people tend to go to products like TerraForm and Terragrunt. We use TerraForm and Terragrunt. So, for setting things up and interacting with X-Ray, it's definitely the user interface that can be better."
"If you have a small team, it's probably overkill."
"What needs to be better in AWS X-Ray is the log filtering. Predefined filters could be helpful because the power of analytics comes from how you can filter the data. I also want to see more KPIs from AWS X-Ray."
"I sometimes log in and see items changed, either in the UI or a feature enabled. To see it for the first time without proper communication can sometimes come as a shock."
"When it comes to storing the logs with Datadog, I'm not sure why it costs so much to store gigabytes or terabytes of information when it's a fraction of the cost to do so myself."
"The pricing is a bit confusing."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"I'd like to see better pricing and more integration in the next release."
"Lacks some flexibility in the customization."
"To be very fair, I haven't had enough experience with Datadog to pick out improvements."
"If there were a more cost-effective manner of deploying the tool, we'd be more likely to adopt it more widely."
AWS X-Ray is ranked 25th in Application Performance Management (APM) with 4 reviews while Datadog is ranked 1st in Application Performance Management (APM) with 103 reviews. AWS X-Ray is rated 8.6, while Datadog is rated 8.6. The top reviewer of AWS X-Ray writes "Saves time, is relatively cheap, and helps find errors". On the other hand, the top reviewer of Datadog writes "Easy to set up and good UI but needs better customization capabilities". AWS X-Ray is most compared with Azure Monitor, New Relic, Google Cloud's operations suite (formerly Stackdriver), Dynatrace and Prometheus, whereas Datadog is most compared with Dynatrace, Azure Monitor, New Relic, Splunk Enterprise Security and Elastic Observability. See our AWS X-Ray vs. Datadog report.
See our list of best Application Performance Management (APM) vendors.
We monitor all Application Performance Management (APM) 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.
