We performed a comparison between Azure Monitor and AWS X-Ray based on real PeerSpot user reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: After analyzing user feedback, it can be concluded that Azure Monitor is the preferred choice when compared to AWS X-Ray. Azure Monitor provides a comprehensive overview and high-level details about potential obstacles and problematic endpoints. It seamlessly integrates with Power BI for effective data visualization and allows monitoring of all cloud resources across multiple subscriptions on a single dashboard. Although AWS X-Ray is praised for its error identification and resolution capabilities, Azure Monitor surpasses it with a wider range of functionalities and integration options, making it a comprehensive solution for monitoring and troubleshooting.
"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."
"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 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."
"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."
"It is a very scalable solution."
"AWS X-Ray is a strong solution and has a smooth integration process."
"It has good troubleshooting features."
"In the last company where I worked about a year ago, it looked very simple."
"The most valuable feature is that it ensures our servers are up."
"The solution is quite stable."
"Azure Monitor's best features are its graphs and charts, the different visibility options, and reporting."
"I am monitoring all of my Azure Monitor and getting good reports. I can customize the reports to get the information I need. I am also getting emails about which AAS instances are down and everything in the system related to my services. It is easy to use, scalable, and user-friendly. Microsoft has Many guides and videos to help you understand how to create and use Azure Monitor."
"Technical support is good and helpful...The initial setup is easy."
"Recently, they have improved their integration with other resources, so we get even more robust data."
"If you have a small team, it's probably overkill."
"They can improve how traces are sent to other providers."
"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 do not have any notes in terms of improvements."
"The user interface is sometimes kind of confusing to understand. It's not very user-friendly."
"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."
"The solution needs better monitoring. It requires better log controls."
"This solution could be improved with more out-of-the-box functionalities and artificial intelligence to complete event correlation."
"They should include advanced logging on the database level in the Azure pool."
"In my opinion, they should improve the overall user experience, especially when it comes to indexing and searching collective logs."
"The biggest one is probably just the user interface. There could be more advanced logging at the database level. They can also improve their query builder to allow you to search for things better, but I last used it about a year ago. They might have already changed a ton of things in the newer versions."
"n comparison to New Relic, which I've used before, it's a bit more complicated. It's not as easy to use. It also took some time to get it working. The implementation needs to be simpler."
"It might not have all of the capabilities we will need."
"There are a lot of things that take more time to do, such as charting, alerting, and correlation of data, and things like that. Azure Monitor doesn't tell you why something happened. It just tells you that it happened. It should also have some type of AI. Environments and applications are becoming more and more complex every day with hundreds or thousands of microservices. Therefore, having to do a lot of the stuff manually takes a lot of time, and on top of that, troubleshooting issues takes a lot of time. The traditional method of troubleshooting doesn't really work for or apply to this environment we're in. So, having an AI-based system and the ability to automate deployments of your monitoring and configurations makes it much easier."
AWS X-Ray is ranked 13th in Application Performance Monitoring (APM) and Observability with 6 reviews while Azure Monitor is ranked 4th in Application Performance Monitoring (APM) and Observability with 44 reviews. AWS X-Ray is rated 8.0, while Azure Monitor is rated 7.6. 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 Azure Monitor writes "A powerful Kusto query language but the alerting mechanism needs improvement". AWS X-Ray is most compared with Datadog, New Relic, Sentry, Google Cloud's operations suite (formerly Stackdriver) and Grafana, whereas Azure Monitor is most compared with Datadog, Dynatrace, Prometheus, Sentry and SolarWinds Server and Application Monitor. See our AWS X-Ray vs. Azure Monitor report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
We monitor all Application Performance Monitoring (APM) and Observability 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.