We performed a comparison between Elastic Observability 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: Elastic Observability is the preferred choice over AWS X-Ray due to its more comprehensive features, including machine learning and custom development using the Elastic User Interface framework. Though it has a steep learning curve, the pricing is reasonable and has helped reduce incidents and overheads. AWS X-Ray is valued for its ability to quickly identify errors and maintain security, but log filtering and user interface could be improved. There is also limited information on AWS X-Ray's customer service and support.
"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 is a strong solution and has a smooth integration process."
"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 solution has been stable in our usage."
"The solution allows us to dig deep into data."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"Good design and easy to use once implemented."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"Its diverse set of features available on the cloud is of significant importance."
"I have built a mini business intelligence system based on Elastic Observability."
"If you have a small team, it's probably overkill."
"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."
"They can improve how traces are sent to other providers."
"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."
"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."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"The cost must be made more transparent."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"There could be more low-code features included in the product."
"There is room for improvement regarding its APM capabilities."
"The interface could be improved."
AWS X-Ray is ranked 14th in Application Performance Monitoring (APM) and Observability with 6 reviews while Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews. AWS X-Ray is rated 8.0, while Elastic Observability is rated 7.8. 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 Elastic Observability writes "The user interface framework lets us do custom development when needed. ". AWS X-Ray is most compared with Datadog, Azure Monitor, New Relic, Sentry and Splunk Enterprise Security, whereas Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Azure Monitor and Instana Dynamic APM. See our AWS X-Ray vs. Elastic Observability 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.