We performed a comparison between AWS X-Ray and Datadog based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Features: AWS X-Ray excels in error identification and resolution, providing comprehensive information for debugging capabilities. It also offers compliance and security features, as well as performance insights and event flow analysis. Datadog is known for its user-friendliness for development teams, offering dashboards, error reporting, and ease of use. It also provides logs and analysis, troubleshooting and instrumentation capabilities, and infrastructure monitoring. Datadog also offers APM and tracing capabilities, as well as observability features. While AWS X-Ray focuses on error identification and resolution, compliance, security, and performance insights, Datadog emphasizes user-friendliness, flexibility, and a wide range of integrations and additional features. AWS X-Ray could benefit from better log filtering, an improved user interface, better data interpretation, and potentially allocating more resources. Datadog could focus on improving usability, reducing the learning curve, monitoring external websites, ensuring SSL security, and addressing additional areas for improvement.
Service and Support: AWS X-Ray's customer service has minimal feedback, indicating that customers rarely need assistance. Datadog's customer service has received a mix of opinions. Some users appreciate the quick and supportive help, while others have encountered delays or unhelpful responses.
Ease of Deployment: Setting up AWS X-Ray is moderately challenging, involving the need for research and documentation. This process typically takes around one to two days to complete. The initial setup for Datadog is generally regarded as simple and direct, with the time required ranging from one hour to three days, depending on the complexity of the setup.
Pricing: AWS X-Ray is seen as a cost-effective option for setup, particularly for companies looking to scale up. Users have mixed experiences with Datadog's pricing and licensing, with some finding it costly and perplexing.
ROI: AWS X-Ray does not provide clear details about its ROI. That said, many users have reported experiencing substantial returns from using it. Datadog's ROI differs among users, with some expressing positive sentiments and estimating an ROI ranging from 10x to 20x.
Comparison Results: AWS X-Ray is preferred over Datadog. AWS X-Ray excels in identifying and resolving errors, providing a centralized location to view related requests and efficient issue detection. It also offers comprehensive information such as IP addresses and user locations, ensuring compliance and security.
"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."
"AWS X-Ray is a strong solution and has a smooth integration process."
"It is a very scalable solution."
"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."
"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 allows flexibility and heightened observability for presenting data, creating indicators, and setting service-level objectives."
"The integration and configuration are incredibly simple. The SaaS offering is remarkably easy to set up, especially if you're coming from a Graphite environment or anything that uses a StatsD."
"I have found some of the most valuable features to be the way things all come together that gives us a point of view that is useful. The panel is very beautiful and customizable."
"Their interface is probably one of the easiest things to use because it lets non-developers and non-engineers quickly get access to metrics and pull business value out of them. We could put together dashboards and give it to people who are non-technical, then they can see the state of the world."
"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"Datadog has flexibility."
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc."
"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 do not have any notes in terms of improvements."
"They can improve how traces are sent to other providers."
"The user interface is sometimes kind of confusing to understand. It's not very user-friendly."
"They should continue expanding and integrating with more third-party apps."
"The product could do better with its notifications."
"They need to implement template variables into the message response body."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"While the tool is robust with many different capabilities, users would greatly benefit from more examples in the documentation."
"Geo-data is also something very critical that we hope to see in the future."
"It lacks consistency in the APIs."
"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."
AWS X-Ray is ranked 14th in Application Performance Monitoring (APM) and Observability with 6 reviews while Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews. AWS X-Ray is rated 8.0, 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 "Very good RUM, synthetics, and infrastructure host maps". AWS X-Ray is most compared with Azure Monitor, New Relic, Sentry, Google Cloud's operations suite (formerly Stackdriver) and Grafana, whereas Datadog is most compared with Dynatrace, Azure Monitor, New Relic, Elastic Observability and AppDynamics. See our AWS X-Ray vs. Datadog report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
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