We performed a comparison between Grafana and AWS X-Ray based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Grafana is the preferred choice over AWS X-Ray. Grafana offers extensive visualization capabilities, customization options, and a helpful community. It has a user-friendly interface, live monitoring, and the ability to connect with various data sets. Users have also praised Grafana's customer service and support. On the other hand, AWS X-Ray is commended for its error identification and resolution capabilities, as well as its compliance and security features. However, users have suggested improvements such as better log filtering and more KPIs.
"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 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."
"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."
"It is a very scalable solution."
"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 is a strong solution and has a smooth integration process."
"The most valuable aspect is customization. There are many customizations possible, so I like that."
"The integration between Loki and Tempo is valuable."
"Compatibility with Prometheus databases and the Spring Boot application make it the first choice when moving toward an SRE model."
"The best thing about Grafana is the visualization. The colors and the ease of use make it very user-friendly."
"It gives us the visibility we need. I like that when we add deployment markers or release markers, we know exactly when an issue arises. For instance, if there is an increased usage of CPU, we can link it directly to the deployment that might have caused the issue. It increases productivity and observability. We can now easily tell when a certain issue arises. It's way easier to debug because it can point you to certain things based on these markers, and we can debug easier."
"Visualisation: It is easy to create beautiful, understanding graphs, snapshots to share the graphs with people who do not have access to Grafana, and templating to create powerful graphs."
"The dashboards are the most valuable features."
"Grafana has improved our analysis capability to solve an issue, increasing the co-working between IT services and business services."
"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."
"They can improve how traces are sent to other providers."
"If you have a small team, it's probably overkill."
"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."
"Multiple dashboards combined into one dashboard has slowed things down for us."
"Trigger limits are difficult to see in a graph."
"Lacks in-depth graphs and sufficient AI."
"The technical support has room for improvement."
"There is a need for improvement in automating daily monitoring reports, especially when alerts are triggered due to system downtimes or fluctuations."
"Its UI features to create charts can also be improved. Some features could have a link to the documentation."
"The formatting could be better."
"One area for improvement in Grafana is that depending on your version, you have to pay for the features, making the license expensive. It would be great if the licensing model could be more flexible. In the next release of Grafana, I want cluster creation to be available, which would help in Grafana deployment and scaling. Currently, the scaling process for the solution is a bit complicated."
AWS X-Ray is ranked 14th in Application Performance Monitoring (APM) and Observability with 6 reviews while Grafana is ranked 6th in Application Performance Monitoring (APM) and Observability with 39 reviews. AWS X-Ray is rated 8.0, while Grafana is rated 8.0. 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 Grafana writes "Agent-free with great dashboards and an active community". AWS X-Ray is most compared with Datadog, Azure Monitor, New Relic, Sentry and Dynatrace, whereas Grafana is most compared with New Relic, Azure Monitor, Sentry, Dynatrace and AppDynamics. See our AWS X-Ray vs. Grafana 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.