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.
"It is a very scalable solution."
"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 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."
"AWS X-Ray is a strong solution and has a smooth integration process."
"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 architecture and system's stability are simple."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"The price is very less expensive compared to the other solutions."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"I have built a mini business intelligence system based on Elastic Observability."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"They can improve how traces are sent to other providers."
"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."
"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."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"More web features could be added to the product."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"There's a steep learning curve if you've never used this solution before."
"The interface could be improved."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"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."
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.