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.
"AWS X-Ray is a strong solution and has a smooth integration process."
"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."
"AWS X-RAY identifies bottlenecks in terms of stability and performance and how long certain data lives in terms of response time and duration."
"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."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers."
"Datadog helps us detect issues early on and helps in troubleshooting."
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"It helps us better manage our logs."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"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."
"I do not have any notes in terms of improvements."
"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."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"While the tool is robust with many different capabilities, users would greatly benefit from more examples in the documentation."
"All solutions have some area to improve, and in Datadog they can improve their overall technology moving forward."
"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."
"Datadog could make their use cases more visible either through their docs or tutorial videos."
"I've only been using Datadog for a few months, and at first, it was frankly overwhelming in terms of both the UI and the available capabilities."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"Billing should be more transparent."
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.
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.