BrianHeislerPrincipal Enterprise Systems Engineer at a healthcare company
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"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."
"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."
"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"Straightforward to integrate and automate."
"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."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"The user interface is sometimes kind of confusing to understand. It's not very user-friendly."
"Additional metrics should be included."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"Could be a little more user friendly."
"The error traceability is an area that can be improved."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"In the past two years, there have been a couple of outages."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"It didn't scale well from the cost perspective. We had a custom package deal."
"The price is better than some competing products."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"The cost is high and this can be justified if the scale of the environment is big."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. You can use X-Ray to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services.
AWS X-Ray is ranked 28th in Application Performance Management (APM) with 1 review while Datadog is ranked 2nd in Application Performance Management (APM) with 16 reviews. AWS X-Ray is rated 7.0, while Datadog is rated 8.6. The top reviewer of AWS X-Ray writes "Scalable and good for tracing problems, but hard to configure". On the other hand, the top reviewer of Datadog writes "Provides insightful analytics and good visibility that assist with making architectural decisions". AWS X-Ray is most compared with New Relic APM, Dynatrace, Azure Monitor, Google Stackdriver and Splunk, whereas Datadog is most compared with Dynatrace, Splunk, New Relic APM, ELK Logstash and Google Stackdriver.
See our list of best Application Performance Management (APM) vendors.
We monitor all Application Performance Management (APM) 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.