We performed a comparison between Dynatrace and Monte Carlo based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability."It creates visibility - from when the user starts interacting with our application - all the way back to our database calls, our network path, everything."
"The installation and configuration were very straightforward and nice."
"One aspect of development is the concept of continuous improvements. There are key screens in our applications. We get identification, through Dynatrace on its own, that these are our top ten slow preforming screens."
"It prevents (together with performance testing) production performance issues which usually result in customer complaints or system downtime."
"With Dynatrace, we have synthetic checks and real-user monitoring of all of our websites, places where members and providers can interact with us over the web. We monitor the response times of those with Dynatrace, and it's all integrated into one place."
"I am primarily doing DC RUM, so on that side there are a lot of awesome abilities where people who can't implement an agent are able to still monitor a lot of their apps and decodes."
"Dynatrace improved the resolution of problems by making it easier to find root causes and easier to predict bad system behaviour."
"It is cleaner and more compact with good UX/UI."
"It makes organizing work easier based on its relevance to specific projects and teams."
"It would help if Dynatrace allowed more features that work with metrics like Grafana or New Relic."
"Needs support for more technologies."
"We would like to see an AI tool that detects issues with our site in real time."
"I would like Dynatrace to be more flexible and user-friendly."
"Documentation could be improved. E.g., you don't know how to properly use Dynatrace because documentation is almost lacking behind the features being deployed."
"A tutorial could be embedded in the system as it is hard for a beginner to start using Dynatrace straight away."
"In the next release, I would like to see some new reports and more tiles on the Dashboard."
"Session export for offline analysis, like it was in AppMon, would be also nice."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
Dynatrace is ranked 2nd in Application Performance Monitoring (APM) and Observability with 340 reviews while Monte Carlo is ranked 1st in Data Observability with 1 review. Dynatrace is rated 8.8, while Monte Carlo is rated 9.0. The top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". On the other hand, the top reviewer of Monte Carlo writes "Provides centralized data observability features and has an easy-to-use user interface. ". Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Azure Monitor, whereas Monte Carlo is most compared with Datadog, Splunk APM, Grafana, Acceldata and Unravel Data.
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